use of plant essential oils for the control of...
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USE OF PLANT ESSENTIAL OILS FOR THE
CONTROL OF FUNGAL DETERIORATION
IN CITRUS DURING STORAGE
NOSHEEN AKHTAR
INSTITUTE OF AGRICULTURAL SCIENCES,
UNIVERSITY OF THE PUNJAB,
LAHORE, PAKISTAN
USE OF PLANT ESSENTIAL OILS FOR THE
CONTROL OF FUNGAL DETERIORATION
IN CITRUS DURING STORAGE
By
Nosheen Akhtar
A THESIS SUBMITTED FOR THE FULFILLMENT OF DEGREE OF
Doctor of Philosophy in
Institute of Agricultural Sciences
Supervisor Asst. Prof. Dr. Tehmina Anjum
Institute of Agricultural Sciences,
University of the Punjab, Lahore, Pakistan
September 2014
i
Certificate
This is to certify that the research work entitled “Use of Plant Essential Oils for the
Control of Fungal Deterioration in Citrus during Storage” described in this thesis by
Miss. Nosheen Akhtar, is an original work of the author and has been carried out under
my direct supervision. We have personally gone through all the data, results, materials
reported in the manuscript and certify their correctness and authenticity. We further
certify that the material included in this thesis has not been used in part or full in a
manuscript already submitted or in the process of submission in partial or complete
fulfillment of the award of any other degree from any institution. I also certify that the
thesis has been prepared under my supervision according to the prescribed format and we
endorse its evaluation for the award of Ph.D. degree through the official procedure of the
University of the Punjab, Lahore.
Supervisor
(Dr. Tehmina Anjum)
Assistant Professor
Institute of Agricultural
Sciences
University of the Punjab,
Lahore, Pakistan.
Date: ______________________
ii
Declaration Certificate
This thesis entitled “Use of Plant Essential Oils for the Control of Fungal
Deterioration in Citrus during Storage” is being submitted for the degree of Ph.D. in
the University of the Punjab does not contain any material which has been submitted for
the award of Ph.D. degree in any other university and, to the best of my knowledge and
belief, neither does this thesis contain any material published or written previously by
another person, except when due reference is made to the source in the text of the thesis.
(Nosheen Akhtar)
Ph.D. Scholar
iii
Dedication
This work is dedicated to:
My Parents
For their unconditional love
My Husband & my Son For their encouragement and love
iv
ACKNOWLEDGEMENT
All praises and thanks are for almighty ALLAH who blessed us with knowledge,
courage, wisdom and all other bounties of life and enormous blessings on Prophet Hazrat
Muhammad (Peace Be Upon Him), the most perfect and exhaled among ever born on
earth.
I am under immense gratitude to my supervisor, Assistant Professor, Dr. Tehmina
Anjum for her skillful guidance, golden suggestions and untiring help whenever I needed
that. Her generous response to my difficulties will never be forgotten. It was only because
of her kind cooperation that writing this manuscript was very easy for me.
Special thanks are for Professor Dr. Saleem Haider, Director, Institute of
Agricultural Sciences, University of the Punjab, for providing me all the possible
facilities to complete this research work.
I would like to pay a humble thanks and appreciation to Dr. Mateen Abbas,
Assistant Professor University of Vetnary Lahore, for giving me a chance to work in his
well-equipped laboratory. There is a pleasure in recording my humble thanks to Mr.
Abdul Muqeet, (Research officer) for their illuminating and inspiring guidance and ever
encouraging attitude in carrying out the research work on analytical analysis of essential
oil. Without their help, these investigations would never have been possible.
I am also grateful to Higher Education Commission (HEC), Pakistan for awarding
me the Indigenous PhD Fellowship to carry out my research work smoothly.
I have the honor to express my deep sense of gratitude to Miss Rasheda jabeen,
under who’s extremely sincere, unfathomable, cooperative nature, incalculable guidance,
subtle direction, this project was successfully executed.
I am quite thankful to all the non-academic staff of IAGS, Mr. Muhammad Aslam
(PS to director), Mr. Irfan, Mr. Taufeeq, Mr. Ahsan Zaidi, Mr. Nasir, Miss Aliya Ahmed
and Miss Faiza, who’s “always ready to help” attitude ensured my research
accomplishment.
I am delighted to express my heartiest thanks to friends Sana Hanif, Wajiha Iram,
Amna Ali and Mehreen Hassan, who never failed to help me whenever their help was
required I would also like to thank Mr. Waheed Akram for his advices during statistical
analyses of data presented in this thesis.
v
I express my greatest gratitude to my beloved husband Mr. Wasim Iqbal and son
Mr. Azlan Wasim for their support, huge sacrifices, cooperation, and encouragement
throughout to keep me going when frustrations and other problems drained my
motivation. A profound thanks to all other members of my family especially father in
law, Saima, Saleem Raza and Qaiser Nawaz for their support and patients.
Last but not least, I really acknowledge and offer my heartiest gratitude to my
loving parents for their huge sacrifice, moral support, encouragement and mellifluous
affection. My brothers, Amir Zahoor and Imran Zahoor and my sister Noreen Shehzal supported
me in all respects to achieve this milestone.
Nosheen Akhtar
vi
SUMMARY
Citrus stands first in area and production among the world’s tree fruits. Pakistan is
an important citrus producer across the globe. In Pakistan, only 10% of the fruit is
exported, 2% is processed, 40% is lost in post-harvest process and remaining 48% is
supplied to domestic markets. A significant portion of losses during post-harvest period is
attributed to diseases caused by fungi. This not only destroys the fruit but also affect the
marketing of fruit leading to overall reduced GDP of the country. Globally many
postharvest strategies have been developed which includes use of different chemicals
such as fungicides. These chemicals are not biologically safe and this necessitates a more
intensive search for alternative management strategies that are economic, sustainable and
environment friendly with minimal risks to health and life.
In present study essential oils derived from natural sources were used to enhance the shelf
life of mandarin fruit and to improve their quality during cold storage conditions. Brief
stepwise investigations, consequent findings and conclusions are as follows:
A survey of citrus producing areas of Punjab, Pakistan was conducted and
mandarin samples were collected to isolate citrus deteriorating fungi during cold
storage conditions. Twenty two storage houses were sampled in eight major citrus
growing cities. A total of sixteen different fungal species belonging to seven
different genera were identified on the basis of their morphological
characteristics. Penicillium italicum was found with maximum percentage of
occurrence (29.75%).
Genetic analysis among eight isolates of P. italicum was done by using Random
Amplified Polymorphic DNA (RAPD) finger printing technique, in which 20
decamers were used for testing the genetic variability. These isolates found to fall
in three major groups belonging to different geographical regions of citrus
producing areas. G1 comprised of five isolates out of eight i.e. isolates from
Lahore, Multan, Jhang, Bhakar and Sargodha.
Genetic differentiation also accounts for the difference in pathogenicity levels of
isolates. After screening of isolates, Lahore (Lhr) isolate was found to be the most
vii
pathogenic and in turn different antifungal assays were performed using essential
oils of ten plants against P. italicum Lhr isolate.
Essential oils were extracted from seeds of Trachyspermum captivum L.,
Foeniculum vulgare M., Cuminum cyminum L., buds of Eugenia caryophyllata
T., bark of Cinnnamomum zylanicum J. and leaves of Azadirachta indica L.,
Ocimum basilicum L., Ocimum sanctum L. and Eucalyptus globulus L. by using
hydro-distillation process. The In Vitro antifungal efficacy was first checked by
both agar dilution and volatile assays and then through In Vivo assays at 25oC.
Comparative evaluation of ten essential oils revealed T. captivum, F. vulgare and
E. caryophyllata as three most effective antifungal oils. At lowest tested
concentration of 3µL mL-1
maximum In Vitro inhibition of 100% was caused by
T. captivum essential oil which was followed by 98 and 84% inhibition by F.
vulgare and E. caryophallata essential oil. In In Vivo assays the three essential
oils resulted in 96, 93.2 and 62.7% inhibition respectively.
All essential oils were then subjected to chemical profiling by using Gas
Chromatography-Mass Spectrometery (GC-MS) and Gas Chromatography- Flame
Ionization Detector (GC-FID). The chromatograms analyzed confirmed the
presence of thymol, anethole, eugenol, citral, linalool, limonene, 1,8-cineole,
eucalyptol, ɣ-terpinene and β-pinene as major constituents of selected essential
oils.
Among these compounds thymol was found to be the most effective chemical
component that highly significantly inhibited the fungal growth. This was
followed by anethole and eugenol. Maximum quantity of thymol was recorded in
T. captivum, whereas, anethole and eugenol was found highest in F. vulgare and
E. caryophyllata respectively.
Mandarin fruits were treated with top three essential oils (T. captivum, F.
vulgare and E. caryophyllata) with different concentrations i.e. 100 and 200µL L-
1 for 10 and 20 minutes to study their effect on physicochemical properties of the
fruit when stored at 4oC for eight weeks. At the end of the storage period weight
loss, juice content, total soluble solids, titratable acidity, pH, and ascorbic acid
content were determined. Results obtained in the present study indicated that T.
viii
captivum essential oil effectively enhanced the quality and shelf life of the fruit
during cold storage.
To assess the significance of the results obtained during various experiments data
was subjected to a number of statistical analyses. These analyses include Duncan’s
Multiple Range Test (DMRT) and Fisher’s Least Significant Differences (LSD) test.
The findings have been further argued and discussed with reference to isolation
and identification of storage fungi, In Vitro and In Vivo antifungal potential of essential
oils against blue mold fungus and interaction of these essential oils in rendering various
physicochemical changes in mandarin fruits during cold storage.
The study justifies its credibility of using essential oils as an environment safe
strategy against citrus spoiling fungi during cold storage which can be a substitute for
synthetic chemical fungicides.
ix
CONTENTS
TITLE PAGE #
Certificate I
Declaration Certificate II
Dedication III
Acknowledgement IV
Summary
VI
Table of Contents
IX
List of Illustration XIII
List of Tables XVI
List of Plates XVII
List of Abbreviations XVIII
CHAPTER 1: INTRODUCTION
1.1. Citrus production 2
1.1.1. Citrus production worldwide 2
1.1.2. Citrus production in Pakistan 3
1.2. Physicochemical changes in fruit during cold storage 6
1.3. Citrus post-harvest losses 7
1.3.1. Blue mold disease in citrus 8
1.4. Control measures 9
1.5. Essential oils 11
1.5.1. Extraction of essential oils 12
1.5.2. Biological activities of essential oils 14
1.6. Antifungal mechanism of essential oils 18
1.7. Characterization of essential oils 19
1.8. Aims and objectives 20
CHAPTER 2: MATERIAL AND METHODS
2.1. Sample collection 21
2.2. Isolation of storage fungi 23
2.2.1. Media composition 23
2.3. Morphological characterization 24
2.4. Analysis of genetic diversity among fungal isolates 24
2.4.1. DNA Extraction 24
2.4.2. Estimation of extracted DNA 25
2.4.3. DNA Quantification and DNA quality analysis 25
2.4.4. Agarose gel electrophoresis 26
2.4.5. Random amplification of polymorphic DNA analysis 26
2.4.5.1. Random primer screening 27
2.4.5.2. RAPD reaction mixture 28
2.4.5.3. RAPD temperature cycling conditions 28
x
2.4.5.4. Analysis of amplified DNA fragments 29
2.4.5.5. Data analysis 29
2.5. Screening of most pathogenic isolate of P. italicum 30
2.6. Collection of plant material 30
2.7. Extraction of essential oils 31
2.8. Analysis of essential oils 31
2.8.1. Chemical analysis 31
2.8.1.1. GC-MS analysis 32
2.8.1.2. GC-FID analysis 32
2.9. Antifungal activity 33
2.9.1. Concentration of essential oils 33
2.9.2. Preparation of spore suspension 33
2.9.3. In Vitro antifungal assay 33
2.9.3.1. Agar dilution assay 33
2.9.3.2. Volatile assay 33
2.9.4. In Vivo antifungal assay 34
2.9.4.1. Surface sterilization of mandarin fruit 34
2.9.4.2. Fruit inoculation with fungal spores and plant
EOs 34
2.10. In Vitro antifungal activity of major components of essential oils
against P. italicum 35
2.11. Effect of selected essential oils on post-harvest physicochemical
changes in citrus fruit during cold storage 36
2.11.1. Weight loss 36
2.11.2. Juice content 37
2.11.3. pH 37
2.11.4. Total soluble solids 37
2.11.5. Ascorbic acid 37
2.11.6. Titratable acidity (TA) 38
2.12. Statistical analysis 38
CHAPTER 3: RESULTS
3.1. Isolation and identification of storage fungi 39
3.1.1. Morphological identification 39
3.1.2 Analysis of genetic diversity among fungal isolates 39
3.1.3. Genetic analysis of P. italicum isolates 44
3.1.4. Screening of most pathogenic isolate of P. italicum 49
3.2. Antifungal activity of essential oils 51
3.2.1. AZADIRACHTA INDICA 51
3.2.1.1. In Vitro antifungal efficacy 51
3.2.1.2. In Vivo antifungal efficacy 51
3.2.1.3. Chemical composition 52
3.2.1.4. In Vitro antifungal efficacy of major components
of A. indica essential oil 56
3.2.2. CINNAMOMUM ZYLANICUM 57
3.2.2.1. In Vitro antifungal efficacy 57
3.2.2.2. In Vivo antifungal efficacy 57
3.2.2.3. Chemical composition 57
xi
3.2.2.4. In Vitro antifungal efficacy of major components of
C. zylanicum essential oil 62
3.2.3. CUMINUM CYMINUM 62
3.2.3.1. In Vitro antifungal efficacy 62
3.2.3.2. In Vivo antifungal efficacy 62
3.2.3.3. Chemical composition 63
3.2.3.4. In Vitro antifungal efficacy of major components of
C. cyminium essential oil 67
3.2.4. CYMBOPOGON CITRATUS 68
3.2.4.1. In Vitro antifungal efficacy 68
3.2.4.2. In Vivo antifungal efficacy 68
3.2.4.3. Chemical composition 68
3.2.4.4. In Vitro antifungal efficacy of major components of
C. citratus essential oil 72
3.2.5. EUCALYPTUS GLOBULUS 73
3.2.5.1. In Vitro antifungal efficacy 73
3.2.5.2. In Vivo antifungal efficacy 73
3.2.5.3. Chemical composition 73
3.2.5.4. In Vitro antifungal efficacy of major components of
E. globulus essential oil 78
3.2.6. EUGENIA CARYOPHYLLATA 79
3.2.6.1. In Vitro antifungal efficacy 79
3.2.6.2. In Vivo antifungal efficacy 79
3.2.6.3. Chemical composition 80
3.2.6.4. In Vitro antifungal efficacy of major components of
E. caryophyllata essential oil 84
3.2.7. FOENICULUM VULGARE 85
3.2.7.1. In Vitro antifungal efficacy 85
3.2.7.2. In Vivo antifungal efficacy 85
3.2.7.3. Chemical composition 85
3.2.7.4. In Vitro antifungal efficacy of major components of
F. vulgare essential oil 89
3.2.8. OCIMUM BASILICUM 90
3.2.8.1. In Vitro antifungal efficacy 90
3.2.8.2. In Vivo antifungal efficacy 90
3.2.8.3. Chemical composition 90
3.2.8.4. In Vitro antifungal efficacy of major components of
O. basilicum essential oil 95
3.2.9. OCIMUM SANCTUM 96
3.2.9.1. In Vitro antifungal efficacy 96
3.2.9.2. In Vivo antifungal efficacy 96
3.2.9.3. Chemical composition 96
3.2.9.4. In Vitro antifungal efficacy of major components of
O. sanctum essential oil 100
3.2.10. TRACHYSPERMUM CAPTIVUM 101
3.2.10.1. In Vitro antifungal efficacy 101
3.2.10.2. In Vivo antifungal efficacy 101
3.2.10.3. Chemical composition 101
3.2.10.4. In Vitro antifungal efficacy of major components of
xii
T. captivum essential oil 106
3.2.11. Selection of most effective essential oil 107
3.2.11.1. In Vitro antifungal assay 107
3.2.11.2. In Vivo antifungal assay 108
3.2.12. Effect of essential oils on post-harvest physicochemical changes
in citrus fruit during cold storage 114
3.2.12.1. Weight loss of fruit 114
3.2.12.2. Juice content 117
3.2.12.3. pH 120
3.2.12.4. Total soluble solids 123
3.2.12.5. Ascorbic acid content 126
3.2.12.6.Titratable acidity 129
CHAPTER 4: Discussion 136
Conclusion 149
Future prospects 149
References 150
xiii
LIST OF ILLUSTRATIONS
TITLE PAGE #
CHAPTER 1: INTRODUCTION
1.1. Export of kinnow from Pakistan ................................................................................ 4
1.2: Penicillium Italicum ................................................................................................... 9
CHAPTER 2: MATERIAL AND METHODS
2.1: Map of Punjab Pakistan arrows showing major sampling cities. ........................................... 21
2.2: Three PCR heat steps were involved in temperature optimization ...................................... 29
CHAPTER 3: RESULTS
3.1: RAPD profile of eight isolates of P. italicum produced by random primers .......................... 47
3.2: UPGMA cluster analysis based dendogram depicting the genetic relationship among selected
P. italicum isolates. ................................................................................. 48
3.3: Screening of most pathogenic isolate Of Penicillium italicum. .............................................. 49
3.4: In Vitro antifungal activity of A. indica essential oil, used at various concentrations on
mycelial growth of P. italicum ............................................................................... 53
3.5: In Vivo antifungal activity of a. indica essential oil, used in various concentrations, on
mycelial growth of P. italicum. ................................................................................. 53
3.6: GC-MS chromatogram of essential oil extracted from leaves of A. indica. ........................... 54
3.7: Mycelial growth of P. italicum measured after 7 days of incubation on MEA medium, treated
with different concentrations of major components of A. indica essential oil.. ...................56 3.8: In Vitro antifungal activity of C. zylanicum essential oil, used at various concentrations on
mycelial growth of P. italicum.. ................................................................................. 58
3.9: In Vivo antifungal activity of C. zylanicum essential oil, used in various concentrations, on
mycelial growth of P. iItalicum ................................................................................. 58
3.10: GC-MS chromatogram of essential oil extracted from bark of C. zylanicum. ...................... 59
3.11: Mycelial growth of P. italicum measured after 7 days of incubation on MEA medium,
treated with different concentrations of major components of C. zylanicum essential oil.. .. 61
3.12: In Vitro antifungal activity of C. cyminum essential oil, used at various concentrations on
mycelial growth of P. italicum ................................................................................. 63
3.13: In Vivo antifungal activity of C. cyminum essential oil, used in various concentrations, on
mycelial growth of P. italicum. ................................................................................. 63
3.14: GC-MS chromatogram of essential oil extracted from seeds of C. cyminium. ..................... 64
3.145: Mycelial growth of P. italicum measured after 7 days of incubation on mea medium,
treated with different concentrations of major components of C. cyminium essential oil.. ... 67
3.16: In Vitro antifungal activity of C. citratus essential oil, used at various concentrations on
mycelial growth of P. italicum. ................................................................................. 69
3.17: In Vivo antifungal activity of C. citratus essential oil, used in various concentrations, on
mycelial growth of P. italicum.. ................................................................................. 69
3.18: GC-MS chromatogram of essential oil extracted from leaves of C. citratus. .....................70 3.19: Mycelial growth of P.italicum measured after 7 days of incubation on MEA medium,
treated with different concentrations of major components of C. citratus Essential Oil. ...... 72
3.20: In Vitro antifungal activity of E. globulus essential oil, used at various concentrations on
mycelial growth of P. italicum ................................................................................. 74
3.21: In Vivo antifungal activity of E. globulus essential oil, used in various concentrations, on
mycelial growth of P. Italicum. ................................................................................ 74
xiv
3.22: GC-MS chromatogram of essential oil extracted from leaves of E. globulus. ..................... 75
3.23: Mycelial growth of P. Italicum measured after 7 days of incubation on MEAmedium,
treated with different concentrations of major components of E. globulus essential oil.. ..... 78
3.24: In Vitro antifungal activity of E. caryophyllata essential oil, used at various concentrations
on mycelial growth of P. Italicum.. ................................................................................. 81
3.25: In Vivo antifungal activity of E. caryophyllata essential oil, used in various concentrations,
on mycelial growth of P. ialicum. ................................................................................. 81
3.26: GC-MS chromatogram of essential oil extracted from buds of E. caryophyllata. ............... 82
3.27: Mycelial growth of P. italicum measured after 7 days of incubation on MEA medium,
treated with different concentrations of major components of E. caryophyllata.. ................. 84
3.28: In Vitro antifungal activity of F. vulgare essential oil, used at various concentrations on
mycelial growth of P. italicum. ................................................................................. 86
3.29: In Vivo antifungal activity of F. vulgare essential oil, used in various concentrations, on
mycelial growth of P. italicum. ................................................................................. 86
3.30: GC-MS chromatogram of essential oil extracted from leaves of F. vulgare. ....................... 87
3.31: Mycelial growth of P. italicum measured after 7 days of incubation on MEA medium,
treated with different concentrations of major components of F. vulgare. ............................ 89
3.32: In Vitro antifungal activity of O. basilicum essential oil, used at various concentrations on
mycelial growth of P. italicum ................................................................................. 91
3.33: In Vivo antifungal activity of O. basilicum essential oil, used in various concentrations, on
mycelial growth of P. italicum ................................................................................. 91
3.34: GC-MS chromatogram of essential oil extracted from leaves of O. basilicum. ................... 92
3.35: Mycelial growth of P. italicum was measured after 7 days of incubation on MEA medium,
treated with different concentrations of major components of O. basilicum ......................... 95
3.36: in Vitro antifungal activity of O. sanctum essential oil, used at various concentrations on
mycelial growth of P. italicum. ................................................................................. 97
3.37: In Vivo antifungal activity of O. sanctum essential oil, used in various concentrations, on
mycelial growth of P. Italicum. ................................................................................. 97
3.38: GC-MS chromatogram of essential oil extracted from leaves of O. Sanctum. ..................... 98
3.39: Mycelial growth of P. italicum measured after 7 days of incubation on mea medium, treated
with different concentrations of major components of O. sanctum essential oil. ................ 100
3.40: In Vitro antifungal activity of T. captivum essential oil, used at various concentrations on
mycelial growth of P. Italicum ............................................................................... 102
3.41: In Vivo antifungal activity of T. captivum essential oil, used in various concentrations, on
mycelial growth of P. italicum. ............................................................................... 102
3.42: GC-MS chromatogram of essential oil extracted from leaves of T. captivum .................... 103
3.43: Mycelial growth of measured after 7 days of incubation on MEA medium, treated with
different concentrations of major components of T. captivum essential oil.. ...................... 106
3.44: In Vitro antifungal efficacy of various essential oils against P. italicum at various
concentrations. ............................................................................... 109
3.45: In Vivo antifungal efficacy of various essential oils against P. italicum at various
concentrations. ............................................................................... 110
3.46: Linear regression fitted for the effect of different concentrations of essential oils on weight
loss (%) of mandarin fruit during cold storage at 4ºc for 8 weeks. .................................... 115
3.47: Linear regression fitted for the effect of different concentrations of essential oils on weight
loss (%) of mandarin fruit during cold storage at 4ºc for 8 weeks. .................................... 116
3.48: Linear regression fitted for the effect of different concentrations of essential oils on juice
content of mandarin fruit during cold storage at 4ºC For 8 weeks ..................................... 118
3.49: Linear regression fitted for the effect of concentrations of essential oils on juice content ff
mandarin fruit durring Different cold storage at 4ºc for 8 weeks. ...................................... 119
3.50: Linear regression fitted for the effect of different concentrations of essential oils on pH of
mandarin fruit during cold storage at 4ºc for 8 weeks. ...................................................... 121
xv
3.51: Linear regression fitted for the effect of different concentrations of essential oils on pH of
mandarin fruit during cold storage at 4ºc for 8 weeks. ...................................................... 122
3.52: Linear regression fitted for the effect of different concentrations of essential oils on Total
Soluble Solids (Tss) of mandarin fruit during cold storage at 4ºC for 8 Weeks. ............... 124
3.53: Linear regression fitted for the effect of different concentrations of essential oils on Total
Soluble Solids (Tss) of mandarin fruit during cold storage at 4ºC for 8 weeks. ................ 125
3.54: Linear regression fitted for the effect of different concentrations of essential oils on ascorbic
acid of mandarin fruit during cold storage at 4ºc for 8 weeks. .......................................... 127
3.55: Linear regression fitted for the effect of different concentrations of essential oils on ascorbic
acid of mandarin fruit during cold storage at 4ºC for 8 weeks. .......................................... 128
3.56: Linear regression fitted for the effect of different concentrations of essential oils on
titratable acidity of mandarin Fruit during cold storage at 4ºC for 8 weeks. ..................... 130
3.57: Linear regression fitted for the effect of different concentration of essential oils on titratable
acidity of mandarin fruit during cold storage at 4ºC for 8 weeks. ..................................... 131
xvi
LIST OF TABLES
TITLE PAGE #
CHAPTER 1: INTRODUCTION
1.1 Citrus area under cultivation in Pakistan from 2001-2011. .......................................... 5
1.2 Province wise citrus production in Pakistan from 2001-2011. ..................................... 5
CHAPTER 2: MATERIAL AND METHODS
2.1 List of cold storage houses and sampling date ............................................................ 22
2.2: Solutions and reagents for the extraction of DNA ..................................................... 24
2.3: List of primers used for the rapd analysis. ................................................................. 27
2.4. Sources of essential oils ............................................................................................. 31
CHAPTER 3: RESULTS
3.1: Morphological characteristics of different storage fungi isolated from sampled
mandarin fruits. ......................................................................................................... 40
3.2: Frequency of occurrence of different fungal genera isolated from sampled fruits. ... 43
3.3: Frequency of occurrence of storage fungi isolated from sampled fruits. ................... 43
3.4: Qualitative and quantitative spectrophotometric analysis of extracted DNA ............ 44
3.5: Random twenty decamers used in initial screening, their accessions, sequences,
number of polymorphic bands, percentage of polymorphic products and size of
bands produced by each primer. ............................................................................... 45
3.6: Chemical composition of essential oil extracted from A. indica. .............................. 55
3.7: Chemical composition of essential oil extracted from C. zylanicum. ........................ 60
3.8: Chemical composition of essential oil extracted from C. cyminum. .......................... 65
3.9: Chemical composition of essential oil extracted from C. citratus. ............................ 71
3.10: Chemical composition of essential oil extracted from E. globulus. ......................... 76
3.11: Chemical composition of essential oil extracted from E. caryophyllata. ................ 83
3.12: Chemical composition of essential oil extracted from F. vulgare. ......................... 88
3.13: Chemical composition of essential oil extracted from O. basilicum. ...................... 93
3.14: Chemical composition of essential oil extracted from O. sanctum. ......................... 99
3.15: Chemical composition of essential oil extracted from T. captivum. ...................... 104
xvii
LIST OF PLATES
TITLE PAGE #
3.1: Trial showing potential of eight isolates of P. italicum to cause postharvest
decay in mandarin fruits. 50
3.2: In Vivo antifungal effect of different concentrations of essential oil extracted from E.
caryophyllta. Pictures were taken after 15 days of incubation at 25ºC. 111
3.3: In Vivo antifungal effect of different concentrations of essential oil extracted from F.
vulgare. Pictures were taken after 15 days of incubation at 25ºC. 112
3.4: In Vivo antifungal effect of different concentration of essential oil extracted from T.
captivum. Pictures were taken after 15 days of incubation at 25ºC. 113
3.5: Mandarin fruits treated with three most effective essential oils with concentration of
200µL L-1
for 10 minutes, stored at 4ºC for 8 weeks. 132
3.6: Mandarin fruits treated with three most effective essential oils with concentration of
200µL L-1
for 20 minutes, stored at 4ºC for 8 weeks. 133
3.7: Mandarin fruits treated with three most effective essential oils with concentration of
400µL L-1
for 10 minutes, stored at 4ºC for 8 weeks. 134
3.8: Mandarin fruits treated with three most effective essential oils with concentration of
400µL L-1
for 20 minutes, stored at 4ºC for 8 weeks. 135
xviii
LIST OF ABBREVIATION
ANOVA Anaysis of variance
JECFA Joint expert committee on Food Additives
CTAB Cetyltrimethylammonium Bromide
Conc. Concentration
oC Degree centigrade
dNTPs Deoxynucleotide triphosphate
DNA Deoxyribonucleic acid
DMRt Duncan’s Multiple Range test
FAO Food and Agriculture Organization
LSD Least significant difference
g Gram
ha Hectare
GC-MS Gass chromatography mass spectrometery
bp base pairs
MgCl2 Magnesium chloride
TSS Total soluble solids
MEA Malt Extract Agar
m Micro meter
TA Titratable acidity
L Micro liters
RAPD Random amplified polymorphic DNA
mL Milliliter
mm Millimeter
WHO World health organization
ng Neon gram
μL-1
Per micro liter
mL–1
Per milliliter
% Percent
PCR Polymerase Chain Reaction
GOP Governement of Pakistans
pH Power of Hydrogen
rpm Revolutions Per Minute
19
1
Chapter 1
INTRODUCTION
Citrus constitutes an important group of fruits in the world. Its global demand is
attributed to its high content of vitamin “C” and its antioxidant potential (Gorinstein et
al., 2001). Citrus are evergreen that produce fruits of different forms and sizes. Citrus
fruits are remarkable for its typical fragrance, flavor and juice. The genus citrus is in the
family Rutaceae, which is composed of 1300 species belonging to 140 genera throughout
the world (Singh and Rajam, 2009). Citrus is divided into two subgenera: one is Citrus
and the other is Papeda. Commercially grown citrus fruits were obtained from subgenus
Citrus. It is very litigious to classify the various citrus plants into species. In early days,
just four Citrus species were recognized (Hooker, 1875). Later Sixteen to 162 different
species of citrus were identified by using different systems or criteria to distinguish one
species from another (Swingle and Reece, 1967; Tanaka, 1977).
Citrus is native to Asia and most of the historians believed that citrus plants may have
come from Southeast Asia at least 4000 years ago (Webber et al., 1967). It is generally
viewed that the fruit has been introduced from Asia to North Africa, the Mediterranean,
and then to Southern Europe by the middle ages via trade (Scora, 1975). Christopher
Columbus then introduced these fruits into the New World in 1493 on his second voyage
(Samson, 1980). The planting material of the fruit reached to South Africa by Dutch
merchants in 1654 (Oberholzer, 1969). Worldwide trade in citrus fruits did not appear
until the 19th century and trade in orange juice developed as late as 1940 (Florida Citrus
Mutual, 2009; UNCTAD, 2009).
Citrus is unique among all other fruits having thick or loose rind enclosed fruit containing
several juicy pulped segments. The flesh of the citrus fruit is pulpy which contains many
small glands full of fragrant oil. All citrus trees have glossy green leaves and bear white
and pink flowers. Citrus trees grow well in warm region and semi dry climate. Citrus
family is classified by four major varieties: oranges, grapefruit, tangerines, lemon and
2
limes, which are being grown commercially. Its cultivars are grown in tropical and
subtropical climate.
Citrus fruits have long been esteemed as part of a nutritious and tasty diet. Its flavors are
in the course of the most privileged in the world and it is increasingly evident that citrus
not only tastes good, but is also good for health of the people. Citrus fruit are famous for
the source of essential nutrients like vitamin A, B, C, minerals, sugars, fiber, calcium,
folate, potassium, sodium, phosphorus, magnesium, copper, riboflavin, pantothenic acid
and a variety of phytochemicals (Nawaz et al., 2011). They also have been used in
pharmaceutical industry for the synthesis of medicines and soaps, as fragrance in
perfumes and other cosmetics and aromatherapy.
Within citrus family, Citrus reticulum L. (mandarin) is the largest planted cultivar in
Pakistan and is aboriginal to this part of the world. It is a hybrid of Citrus nobilis L. and
Citrus deliciosa. In 1940’s it was first introduced in Punjab from California (Niaz et al.,
2004) and at present Punjab is the center of production and supply of citrus fruit of high
quality and grade. In Punjab (Pakistan), 187 different varieties of citrus are commercially
available including oranges, Malta, Fruiter, Red Blood Mausami, grapefruit, tangerines,
lemon and limes (Naseer, 2010).
Mandarin c.v. Kinnow is one of the most eminent varieties which are domestically and
globally savored due to its flavor. Mandarin has longest growing period, in Pakistan it
starts from December and last till April. Harvested fruits are immediately transferred to
the fruit markets. It is manifest that the rate of picking is much higher than that of
consumption and therefore large quantity of citrus requires adequate storage. The skin of
the fruit is delicate, due to which the chances of damage during harvesting and
transportation become high.
1.1. CITRUS PRODUCTION
1.1.1.Citrus Production Worldwide
Commercially, citrus is one of the most leading fruit crops which are grown in
over 100 countries on six continents, with a worldwide crop of about 70 billion kilo
3
grams in 2004 (Anon, 2005; Terol et al., 2007) that are widely consumed both as fresh
fruit or juice. Citrus is mostly cultivated in tropical and subtropical regions of the world
and its production in the world fruit market is around 105 billion US dollar per annum
(Ismail and Zhang, 2004). Brazil is the largest grower followed by the United States of
America (USA), China, Spain and Mexico. Spain, USA and South Africa are the largest
exporters followed by the Turkey and Morocco (Citrus Commodity Note, 2005).
1.1.2. Citrus Production In Pakistan
Pakistan produces about 12.0 million tons of fruits and vegetables annually and
exports a large variety of fruits including mango, apple, date, pine nuts, banana, citrus,
grapes and guava etc. (Naseer, 2010). Among all the fruits, citrus has got a supreme
position with respect to area, production and export contributing to around 50% of the
total fruit production and about 25% of the country’s fruit export (Government of
Pakistan, 2006).
Pakistan is generally ranked tenth in citrus production worldwide (Sabir et al., 2010) and
stand at 8th and 38th position in area and production wise among all the citrus producing
countries in the world (FAO, 2008). The production of citrus fruit in Pakistan has been
increased eventually. Annual production was 1898 thousand tons in 2001 that has been
increased to 1982 thousand tons in 2011 (Agricultural Statistics of Pakistan, 2011).
The Pakistan is a sixth largest producer country of Kinnow in the world with crop
growing in an area of 0.5 million acres producing 2.3 million tons during the year of
2005-2006 (PHDEB, 2006). According to an estimate approximately 95% of total
Kinnow produced all over the world is grown in this country (Naseer, 2010). Citrus fruit
is grown in all the provinces but more than 95% of the citrus is produced in the Punjab
province because of its favorable growing conditions and adequate water. In Punjab
province, total area under the cultivation and production of citrus fruit was 184 thousand
hecters and the production was 1912 thousand tons in 2010-2011 (Agricultural Statistics
of Pakistan, 2011). Area under different varieties indicates that about 86% of the citrus is
4
covered by mandarin variety followed by musambi 10%, feutral 4% and red blood 1%
(Naseer, 2010).
In Pakistan, Sargodha district has top ranking in area and production of mandarin (46%
and 54% respectively) (Government of Pakistan, 2006). Despite the fact that the stipulate
of Pakistani fruits is massive, yet our exporting potential is a measly eight per cent due to
a big chunk of 25 per cent going to waste in consequence of poor harvest management
practices, transportation, packaging and storage conditions (Yaseen and Ahmad, 2010).
Citrus fruits are not only important for domestic consumption but can also serve as a
source of foreign exchange. Pakistan exports about 90 percent of citrus fruit to different
countries (Sharif and Ahmed, 2005; PHDEB, 2006).
Fig.1.1: Export of Kinnow from Pakistan (Source TDAP, 2010)
5
Table 1.1: Citrus area under cultivation in Pakistan from 2001-2011.
Year Punjab
(‘000’Hceters)
Sindh
(‘000’Hceters)
Balochistan
(‘000’Hceters)
Khyber
Pakhtoonkhaw
(‘000’Hceters)
Total Area
(‘000’Hceters)
2001 187.6 3.9 2.4 4.8 198.7
2002 183.2 4.1 2.4 4.5 194.2
2003 170.8 4.1 2.4 4.3 181.16
2004 166.6 4.2 1.3 4.4 176.5
2005 173.9 4.2 1.3 4.4 183.8
2006 182.1 4.4 1.3 4.5 192.3
2007 183.3 4.5 1.3 4.1 193.2
2008 189.2 4.5 1.3 4.4 199.4
2009 189.8 4.5 1.4 4.2 199.9
2010 188.2 4.5 1.4 4.3 198.4
2011 184.2 4.9 1.4 4.0 194.5
Source: Agricultural Statistics of Pakistan (2011).
Table 1.2: Province wise citrus production in Pakistan from 2001-2011.
Years Punjab Sindh Balochistan Khyber
Pakhtoonkhaw
Total
Production
(‘000’ tons)
2001 1813 30.9 13.6 40.2 1897.7
2002 1751.04 28.08 13.7 37.5 1830.32
2003 1623.56 27.73 13.06 38 1702.35
2004 1688.66 28.56 5.8 37.23 1760.34
2005 1872.25 28.56 6.04 36.82 1943.67
2006 2385.15 29.47 6.12 37.65 2458.39
2007 1400.75 31.48 5.81 34.44 1472.48
2008 2219.32 30.86 8.42 35.87 2294.47
2009 2059.51 30.53 8.41 33.83 2132.28
2010 2077.5 30.5 6.9 35.1 2150
2011 1912.0 30.9 7.0 32.3 1982.2
Source: Agricultural Statistics of Pakistan (2011).
6
1.2. PHYSICOCHEMICAL CHANGES IN FRUIT DURING
COLD STORAGE
Citrus fruits constitute a rich source of sugar, vitamins, minerals and other
compounds which are the important component of our daily diet. Fruits are taken either
as dessert or processed. The nutritional value of these fruits depends mainly on the
quality and concentration of their essential components.
Citrus fruits are harvested during November to December and then stored in cold storage
houses. The demand for the fruit increases from January onward but the quality of the
fruit can’t be retained. Improper storage results in rapid loss of sugars, ascorbic acid and
increased weight loss (Rab et al., 2010). Storage at low temperature is generally used to
slow down the deterioration of citrus fruits (Purvis, 1985). Since most of the prevailing
cold storage in Pakistan operate at 2-4ᴼC to increase the shelf life and to sustain the
quality of the citrus fruit especially Kinnow for a stipulated period.
Changes in sugar, ascorbic acid, tartaric acid, vitamin C and total soluble solids of the
juice depend on the storage conditions of the fruit. Higher temperature results in rapid
loss of water from the rind of the fruits (Kaushal and Thakur, 1996). The weight loss
varies from 1.5% to 34% depending on storage conditions and fruit coatings. Water loss
causes increase in levels of total soluble solids and acidity of the Kinnow (Chattopadhyay
et al., 1992; Angadi and Shantha Krishnamurthy, 1992). Kinnow stored under
refrigerated conditions is reported with a decrease in acids and percentage of the juice
content (Mukherjee and Singh, 1983; Ladaniya and Sonkar, 1996). If the coating is
applied on the surface of the fruit to protect the postharvest losses, then minimum weight
loss is about 1.5% although without coating it is 33.23% (Alam and Paul, 2001; Thakur et
al,. 2002).
Vitamin C is a water soluble acid which rapidly oxidized through light, heat and ascorbic
acid oxidase. Prolonged storage of citrus results in loss of vitamin C. under cold storage
conditions these changes are less as compared to those stored at room temperature (Pal et
al., 1997; Thakur, 2002).
7
1.3. CITRUS POST-HARVEST LOSSES
Unfortunately, fruits and vegetables are attacked by several pre and post harvest
plant pathogens that affects their quality. Up to 25 percent of the total fruit production is
subjected to fungal attack in both industrialized and developing countries and destruction
is frequently higher, greater than 50 percent (Spadaro and Gullino, 2004). More than 30%
of total crop yield is destroyed in developing countries where the protection and proper
handling of postharvest techniques are insufficient (Kader, 2002; Agriose, 2005).
As with other fruits and vegetables, fresh citrus fruits are susceptible to post-harvest
diseases which limit their storage period and marketing life (Schirra et al., 2000).
Moreover, huge economic losses occurred throughout the world due to post harvest
diseases. In Pakistan, about 40% of total citrus is lost during postharvest processes due to
poor disease management, weather extremes, harvest delay, poor harvest practices, cold
storage facilities and transportation (Iqbal, 1996; PHDEB, 2004; Naseer, 2010). These
factors may result in decay of the commodities and the microorganisms become activated
because of the physiological changes in the fruit (Wilson et al., 1991).
The quality of the citrus fruit starts deteriorating right after harvesting if not properly
managed. In consequence of poor handling conditions the citrus fruit meets
environmental stress and quality deteriorates promptly. These conditions more aggravate
to the development of physiological disorders such as, weight loss during marketing and
storage, high incidence of mold attack and fruit rots etc. Globally, numerous postharvest
technologies have been investigated to manage fruit disorders, maintain optimum fruit
quality and reduce the losses (Krochta, 1997: Hagenmaier, 2002; Bajwa and Anjum,
2007). The most ordinary technologies are low temperature storage, polyethylene packing
and emulsion applications as wax coatings (Perez et al., 2002; Thakur et al., 2002).
Citrus fruits are very susceptible to many diseases caused by different types of pathogens
such as fungi, bacteria, viruses and nematodes (Mukhopadhayay, 2004). In particular,
major postharvest decays and losses in harvested fruit are associated with the wide range
of fungal pathogens (Davis and Albrigo, 1994). Blue and green mould caused by
Penicillium italicum Wehmer and Penicillium digitatum Sacc. are generally the most
8
important postharvest diseases of citrus fruit in all production areas which occurs on the
surface of the fruit during storage and results in huge economic losses (Eckert and Eaks,
1989). Similarly grey mold caused by Botrytis cinerea Pers ex Fr. (Agriose, 1997), sour
rot caused by Geotrichum citri-autantii Link ex Pers (Howard, 1936; Hershenhorn et al.,
1992; Dewa et al., 1997), anthracnose caused by Colletotrichum gloeosporioides Penz
(Davis and Albrigo, 1994) and rots caused by various pathogens such as Alternaria citri
Ellis and Pierce, Trichoderma viridi Pos ex Gray (Whiteside et al., 1988), Phomopsis
citri Faw, Diplodia natalensis are also reported as a cause of postharvest decay in citrus
(Salunkhe and Desai, 1984; El-Ghaouth et al., 2002).
1.3.1. Blue Mold Disease In Citrus
Among the citrus fruits, Kinnow is highly perishable therefore, after harvest they
have to be marketed immediately. Penicillium is a versatile and opportunistic fungus.
More than ninety nine different Penicillium species have been identified (Carlos, 1982).
Penicillium species are one of the most common causes of fungal spoilage in stored
fruits. As among the various wound pathogens, Penicillium italicum causes a blue mold
disease which costs the loss up to 25% of the total worldwide citrus production (Palou et
al., 2007; Montesinos-Herrero et al., 2009).
Blue mold disease is most prevalent in cold storage fruits and easily identified due to the
presence of its filaments on the surface of the rotted fruits (Zhang et al., 2004). Infection
occurred though wounds which are caused by the poor harvest practices where the
nutrients are accessible to stimulate the spore germination. The initial symptoms of the
blue mold disease appeared as water soaked lesion. As the lesion enlarges to 1 to 2 inches
in diameter, white mycelium developed on the surface of the fruit followed by the
accumulation of blue spores and then it sporulates in the flesh of the fruit.
Colonies of Penicillium italicum on artificial media are more or less similar to the mould
that develops on surface of the infected fruit. Penicillium italicum is terverticillate,
metulae in verticils of 2-4, smooth 10-11 x 3.2-4.2 μm in size, phialides in verticils of 4-
9, smooth, cylindrical in shape and size is 8-12 x 2-3.3 μm. The conidia are produced on
9
phialides in chains and may vary in size (4.0-5.1 × 2.4-3.2 μm), smooth and thick walled
and ellipsoidal to cylindrical in shape (Samson and Varga, 2007).
Fig. 1.2: Penicillium italicum
1.4. CONTROL MEASURES
Post-harvest citrus spoilage by Penicillium italicum and Penicillium digitatum are
responsible for remarkable economic losses worldwide (Spadaro and Gullino, 2004;
Sharma et al., 2009). Fungal spoilage of fruits depends upon cultivation, harvesting,
handling, transport, post-harvest storage and marketing conditions (Effiuvwevwere,
2000). It is essential to control postharvest diseases in order to maintain the quality of the
fruit and improve its shelf life. However, different practices such as careful culling,
storage at low temperature or under controlled atmosphere and application of fungicides
have been used (Beuchat, 1987; Eckert and Ogawa, 1988). For the control of post-harvest
decay, chemical fungicides have also been applied on the surface of the fruits to prevent
the fungal growth. There are two crucial complications in using fungicides that is the
increasing public concern regarding contamination of perishables with fungicidal
residues and the development of resistance in the pathogen population (Wilson and
Wisnieski, 1989; Tripathi and Dubey, 2004).
Traditionally, a number of synthetic fungicides such as benzimidazoles, thiabendazole,
imazalil, sodium ortho-phenyl phenate, aromatic hydrocarbons and sterol biosynthesis
inhibitors are used as the primary means to reduce the postharvest decay and extend the
10
shelf-life of the fruits (Fan et al., 2000; Poppe et al., 2003). Currently, to control the
fungal diseases, annually 23 million kg of fungicides are used throughout the world
(Tripathi and Dubey, 2004) in both field and postharvest management. However,
extensive use of synthetic fungicides are developing resistant strains of the pathogens as
reported in case of imazalil (Bus et al., 1991; Eckret et al., 1994), thiabendazole (Timmer
and Duncan, 1999) and benomyl (Bus et al., 1991). Also the toxic residues have been
reported in products that affect the human health (Norman, 1988; Daferera et al., 2000).
Development of resistance against various fungicides has also been reported in
Penicillium digitatum and P. italicum (Fogliata et al., 2001). For these reasons, the use of
synthetic chemical fungicides has been discouraged (Spadaro and Gullino, 2004; Droby
et al., 2009).
However, due to the problems related to the fungicides applications, research has been
focused on the use of alternative control measures specially based on plant derived
products such as essential oils (EOs) and plant extracts as disease control agents. These
natural products tends to have low mammalian toxicity, less environmental hazards and
wide public acceptance (Janisiewicz and Korsten, 2002; Obagwu and Koresten, 2003;
Soylu et al., 2005; Lee et al., 2007; Tripathi and shukla, 2008). These secondary
metabolites obtained from different plant organs acts as novel chemotherapeutics in plant
protection and possess the potential to be used in pest management (Abdolahi et al.,
2010). Consequently, numerous studies have acknowledged the use of natural substances
as potential antifungal agents, and plants have been generally known as the source of
fungicidal and fungistatic phytochemicals (Bajpai et al., 2009).
Recently, Many explorations have been directed in the field toward antifungal activity of
essential oils obtained from plants against postharvest fungal decay (Daferera et al.,
2000; Venturini et al., 2002; Shahi et al., 2003; Tripathi and Dubey, 2004; Guynot et al.,
2005; Mercier and Smilanick, 2005; Neri et al., 2006; Nikos and Costas, 2007; Irkin and
Korukluoglu, 2007; Feng and Zheng, 2007; Kumar et al., 2007; Omidbeygi et al., 2007;
Kaloustian et al., 2008; Amiri et al., 2008; Liu, et al., 2009; Abdolahi et al., 2010: Xing
et al., 2010; Wang et al., 2010). The essential oils have two key advantages; they are
organic natural substances which signify both public health safety and environment
11
friendliness and there is low risk of resistance development by postharvest pathogens due
to the mixture of oil components with actually different antifungal activity mechanisms.
Essential oils and its active ingredients possess a broad spectrum of biological activity,
which may be of great upshot in several fields, from food chemistry to pharmacology and
pharmaceutics (Cristani et al., 2007). Such antimicrobial activity is due to the presence of
bioactive substances such as flavonoids, terpenes, coumarines and carotenes (Tepe et al.,
2005).
1.5. ESSENTIAL OILS
Essential oil is the natural oil typically obtained by distillation having fragrant
substances characteristic of the plant or a mixture of fragrant and odorless substances
(Burt, 2004).
The essential oils are also known as volatile, ethereal oils or etherolea which is defined as
concentrated, hydrophobic liquid that contain a large number of aromatic compounds and
organic constituents. These oils are "essential" because they represent the characteristics
like distinctive scent or essence, of the plant. Essential oils contain highly volatile
components that are isolated by a physical method known as steam distillation process of
a single botanical plant species. These essential oils normally identified with the name of
the plant species from which they are derived.
The essential oils constitute about 17 percent in the market of flavor and fragrance
worldwide. The world production of essential oil ranges from 40,000 to 60,000 tonnes
per annum. The stipulate for spice oils is to be found at 2,000 tonnes per annum (Joy et
al., 2001).
Essential oils comprise a major group of industrial products. These oils form a primary
ingredient of the necessities in many fields of human activity. Nowadays the world of
consumer boom, the role of essential oils has increased many folds. In Japan and
European countries, the essential oils are becoming more popular in therapeutics. Some
of these oils are reported to be in many ways better than antibiotics due to their safety and
12
wide spectrum of activity. The applications of these essential oils in agriculture as
antifeedants, repellents, biopesticides and growth boosters are still open to charming
realm of research (Joy et al., 2001).
The techniques of obtaining essential oils from the plants were first time developed by
the Arabs (Saeed, 1989). In 10th century, Aviceena, devised the method to extract the
essential oil from the rose flower by distillation process (Poucher, 1974). Therefore, rose
water has been reported for the first time by an Arabian historian, Ibn-e-Khulduae
(Hussain, 2009).
1.5.1.Extraction Of Essential Oils
There are various methods for the extraction of essential oils based on its
stability. The first method used for oil extraction is cold pressing. The whiff of this oil is
natural but impure. Steam distillation and hydro-distillation techniques are therefore more
commonly used for the isolation of pure essential oils (Masango, 2004). At present,
essential oils are also extracted by using latest techniques such as solvent extraction,
supercritical carbon dioxide, low or high pressure distillation employing boiling water
and hot steam (Bousbia et al., 2009; Donelian et al., 2009). Lawrence in 2002
demonstrated the oil extracted by solvent and sub and supercritical carbon dioxide are not
genuine because of the removal of a few components.
Distillation is the process of distilling plant material with steam that generally referred to
as a boiler. The main principle behind steam distillation and hydrodistillation is that a
mixture of two immiscible liquids were heated to expose the surface of both liquids to
vapor phase, each constituent exert a vapor pressure as if each liquid were pure
(Houghton and Raman, 1998). For two immiscible liquids the total vapor pressure of the
mixture is always equal to the sum of their partial pressures. As steam increases, it
ruptures the oil membranes of a plant and this releases its essential oil. The steam carries
the oil up through a condenser, where the mixture of oil and steam re-liquefies. As the
steam condenses back into water, the distilled essential oil gathers on top of it. This
process is therefore able to separate the volatile and non-volatile components with a
13
reduction in boiling point and thus avoiding extreme temperatures (Baker et al., 2000;
Donelian et al., 2009). However an obvious drawback of this process is the induction of
chemical changes by oxidation and hydrolysation reaction (Krell, 1982; Houghton and
Raman, 1998). Furthermore, the original composition of the essential oils is partially lost
due to their affinity of water (Baker et al., 2000; Masango, 2004). It is the most popular
widely used and cost effective method in use today for producing majority of the
essential oils throughout the world. About 93% of essential oil is produced by this
process on commercial scale but it is not preferred in research laboratories due to its
unavailability of steam generator and distillation vessels (Massango, 2004; Hussain et al.,
2008). So mostly in labs hydrodistillation process is used for the isolation of plants
essential oil through Clavenger type apparatus (Kulisic et al., 2004; Sokovic and
Grienseven, 2006; Hussain et al., 2008). In this process plant material is submerged in
water, which is heated to boiling point. In both distillation processes, the vapors are
allowed to condense and the oil is then separated from the aqueous phase (Houghton and
Raman, 1998).
Ackerman (2001) demonstrated that hydrodistillation process gave a better quality and
absolute product, as hot water is cooler than steam distillation. However Charles and
Simon (1990) evaluated the comparison of extraction methods for the rapid determination
of essential oil content and its composition. They found that steam distillation is more
efficient and gave higher yields of essential oil than hydrodistillation. They also approved
that hydrodistillation is simple and more rapid method for extracting essential oils. Eikani
et al. (2007) used subcritical water extraction (SCWE), hydrodistillation and Soxhlet
extraction and compared for the extraction of essential oil from coriander seed.
Hydrodistillation and Soxhlet extraction showed higher extraction efficiencies as
compared to SCWE.
In contrast, Khanavi et al. (2004) gave the comparison of essential oil composition
obtained by steam and hydrodistillation process. According to them better yield of
essential oil was obtained by hydrodistillation in comparison to steam distillation.
Sefidkon et al. (2007) have worked on the Setureja rechingeri L. essential oil obtained
through steam and hydro distillation process and found that highest yield of essential oil
14
was obtained in hydrodistillation. Silva et al. (2004) reported the variation in chemical
composition of essential oils of Ocimum spp. obtained by steam distillation, microwave
oven distillation and supercritical extraction with CO2 and showed that the main
constituent of these essential oils were the same but in different relative amounts. They
found that higher percentage of chemical constituents was observed in oil obtained
through hydrodistillation process.
1.5.2. Biological Activities Of Essential Oils
The use of plant essential oils has long been identified as a traditional means to
control plant diseases (Cowan, 1999). On the other hand the actual use of these products
in disease control has become an important field of study (Obagwu, 2003). The plant
essential oils have been used successfully for the control of postharvest diseases of stored
fruits and vegetables (Skocibusic et al., 2006; Bozin et al., 2006; Van Vuuren et al.,
2007). As they are the secondary metabolites, these are also known as the protective
compounds. They have several bioactivities such as antioxidant and antimicrobial
activities (Lertsatitthanakorn et al., 2006). The antimicrobial activity of many plant
essential oils has been tested at different concentrations against various microbes
including bacteria, fungi and yeast (Antunes and Cavaco, 2010). Ozcan and Erkmen in
2001 stated that essential oils provide an effective control by the inactivation of the
pathogen and enhance the shelf life of the food.
Essential oils and their constituents have been effective against numerous plant
pathogenic fungi, including Alternaria alternata F., Botrytis cinerea, Phytophthora
infestans, Phytophthors capsici B., Fusarium verticillioides, Rhizoctonia solani and
Seclerotium sclerotiorum (Muller-Riebau et al., 1995; Wilson et al., 1997; Soliman and
Badeaa, 2002; Feng and Zheng, 2005; Soylu et al., 2006). Similarly essential oils
extracted from rosemary, thyme, organo, lavender, sage, basil, cinnamon and marigold
have shown antifungal activity against postharvest pathogens (Daferere et al., 2000;
Soliman and Badeaa, 2002; Fandohan et el., 2004).
15
Essential oils exhibited different levels of antifungal activity depending on the type of the
oil, its concentration and the fungal species (Wilson et al., 1997; Soliman and Badeaa,
2002). Essential oils are effective against fungi at different stages like mycelilal growth
and spore germination (Fandohan et al., 2004; Feng and Zheng, 2005). The inhibitory
effect of essential oil is varying by the oil concentration and the sensitivity of the
pathogen to the chemical constituents present in the essential oil (Soliman and Badeaa,
2002). The antifungal activity of plant essential oils and their components is frequently
studied, where the need for the protection of plants and stored crops against fungi is of
great importance. The utilization of essential oils for the fungus free storage of food has
also been focused by various researchers (Burt, 2004, Sacchetti, et al., 2005; Bozin, et al.,
2006)
Bouchra et al. (2003) evaluated In Vitro antifungal activity of seven Moroccan Labiataes
against Botrytis cinerea. They revealed that Origanum compactum B. and Thymus
glandulosus among them greatly inhibited the mycelial growth of B. cinerea. The main
component these oils were thymol and carvacrol that showed the strongest antifungal
activity with 100% of inhibition at 100ppm.
Tripathi and Dubey in 2004 revealed the potential of some natural products such as flavor
compounds, acetic acid, jasmonates, glucosinolates, propolis, fusapyrone and
deoxyfusapyrone, chitosan, essential oils and plant extracts as an alternative strategy to
control postharvest fungal rotting of fruits and vegetables and prolonging storage life.
These biologically active natural products showed the potential to replace synthetic
fungicides.
Soylu and his colleagues in 2005 determined the antifungal activities of the essential oils
obtained from oregano, fennel, artemisia, laurel and lavender against the green mould of
citrus. Effect of different concentrations of these essential oils on conidial germination
and germ tube elongation of P. digitatum were determined In Vitro. Their results
elucidated that essential oils of oregano and fennel strongly inhibit the conidial
germination of P. digitatum.
16
In 2006 Yadav et al., also worked on various antifungal properties of essential oils of
Mentha spicata. This essential oil showed fungicidal effect on the mycelial growth of
Aspergillus ochraceus, Penicillium digitatum, Pyricularia oryzae and Alternaria
alternata. This oil possessed quick fungicidal action on broad pH range and fungitoxic
spectrum. Similarly, the essential oils of Cymbopogon citrates S., Ocimum basilicum L.
and Origanum majorana B. were found to be highly effective against Aspergillus niger,
Aspergillus flavus and Saccharomyces cerevisiae (Helal et al., 2006). Singh with his
colleagues in 2006 also determined complete zone inhibition against Aspergillus niger,
Asperigillus flavus, Fusarium graminearum and Fusarium moniliforme at 6 µL dose in
inverted plate method. While, in food poison technique it was found to be effective for A.
niger even at lower concentration.
In the same period another research by Yahyazadeh et al. (2007) showed In Vitro
antifungal activity of fennel, thyme, clove and sage essential oils against mycelial growth
of Penicillium digitatum. They stated that clove and thyme essential oils exhibited the
strongest toxicity and can totally inhibit the mycelial growth of the test fungus. They
found that the essential oils of clove and thyme showed fungistatic fungicidal activity in
In Vitro mycelial growth assay.
The essential oils from the seeds of neem, mustard, black cumin and asafetida were
extracted by Sitara et al., in 2008 and evaluated their antifungal activity against eight
seed borne fungi viz., A. niger, A. flavus, F. oxysporum, F. moniliforme, F. nivale, F.
semitectum, Drechslera hawiinesis and Alternaria alternata. Ridomyl gold was used for
the comparison. All the oils extracted except mustard showed fungicidal activity of
varying degrees against tested fungal species. Of these oils, asafoetida oil most
significantly inhibited the growth of all tested fungi except A. flavus. Black cumin oil
was also found effective but showed little fungicidal activity against A. niger followed by
neem, Ridomyl gold and mustard oil. In another study, the eucalyptus oil showed a wide
spectrum of biological activity including anti-microbial, fungicidal, insecticidal,
herbicidal and nematicidal (Batish et al., 2008). Amiri et al., in 2008 determine the In
Vitro and In Vivo activity of clove oil against four apple pathogens namely Phlyctena
vagabunda, Penicillium expansum L., Botrytis cinerea and Monilinia fructigena.
17
Complete inhibition of mycelial growth of test fungi was obtained at concentration of
150mL L-1.
Another study by Camele et al. (2010) showed the work on twelve essential oils from
Mediterranean aromatic plants. They tested different doses of EOs against four fungi
known as causal agents of orange fruit rot in post-harvest conditions. Their In Vitro
experiments showed that only the oils from Verbena officinalis L., Thymus vulgaris L.,
and Origanum vulgare L. exhibited some fungistatic activity against tested fungi. These
three essential oils were used in successive In Vivo tests carried out to protect healthy
orange fruits from artificial infection by the same micromycetes and enhanced the shelf
life of the fruit. Marjanlo and his co-worker in 2009 checked on cumin essential oil
against postharvest decay of strawberry. They found that storage life of strawberry fruits
was significantly increased by the use of cumin essential oil. Siripornvisal et al. in 2009
studied the antifungal activity of clove, cinnamon and lemongrass oils against grey mold
caused by Botrytis cinerea. The results indicated that these oils exhibited fungicidal
effect on pathogen and might be used as alternative options for the control of grey mold.
In addition to this Abdolah et al. (2010) demonstrated the potential of ajwain, fennel and
caraway essential oils as an antifungal agents for tomato fruits that are susceptible to
postharvest decay caused by A. alternata and P. digitatum. The results showed promising
prospects for the utilization of these essential oils on tomato fruit. Alizadeh-Salteh et al.
in 2010 monitored the antifungal effect of sage, savory and zatraria essential oils to
control the R. stolonifer on peach fruit to increase the shelf life and storage ability of the
fruit.
In a recent study Abdollahi et al. (2010) screened antifungal properties of sweet basil,
fennel, summer savory and thyme essential oils against two postharvest phytopathogenic
fungi. e.g. P. digitatum and R. stolonifer by poison food medium and vapor phase
methods. The results showed that thyme essential oil in vapor phase method completely
inhibited the mycelial growth of both fungi as well as in poison food technique thyme oil
showed highest antifungal activity while fennel oil showed the least inhibitory effect
against the pathogens.
18
In another study Singh et al. (2011) determined that essential oil of O. basilicum has
strong fungitoxic components against some storage fungi. They revealed that eugenol is
the major constituent of O. basilicum essential oil and exhibited broad fungitoxic
spectrum against A. alternata, A. fumigatus, A. niger, A. flavus, C. lunata, F. nivale, F.
oxysporum and P. italicum. Marandi et al. in 2011 successfully controlled the Penicillium
expansum and Botrytis cinerea on pear fruit with essential oils of Thymus kotschyanus L.,
Ocimum basilicum and Rosmarinus officinalis L.
Ippolito et al. (2012) checked efficacy of eight major components of essential oils (citral,
thymol, carvacrol, camphene, β-fellandrene, β-pinene, ɣ-terpinene, o-cymene) extracted
from some Mediterranean aromatic plants against five postharvest decaying fungi
including P. italicum. Among these compounds thymol showed significant fungistatic
activity against P. italicum.
In a recent study Arici et al. (2013) used essential oils from seven different plants
including cumin, thymus, lavandula, eucalyptus, rosemary, nigella and dill to manage
Fusarium oxysporum, the causal agent of tomato wilt. Essential oil from cumin and
thymus showed maximum antifungal activity against the tested fungi.
Tatjana et al., in 2014 tested sixteen different essential oils against 21 fungal pathogens.
All essential oils showed antifungal activity against tested fungi with varying degrees.
Savory, thyme and oregano oils that contain phenols and rose oil that possesses
monoterpene alcohols proved as most effective sources of antifungal compounds.
1.6. ANTIFUNGAL MECHANISM OF ESSENTIAL OILS
The diversity of plant derived essential oil constituents is immense and
comprised of a wide range of chemical constituents. Some of the constituents of many
essential oils have great potential against the microbes including bacteria, yeast and
fungi. Yet, the number of chemical compounds present in essential oils has no specific
target sites in the cell (Carson et al., 2002). Essential oils have the ability to damage the
cell membrane which disrupt its structure and make it more permeable (Ultee et al., 2002;
19
Burt, 2004). Injury to the cell wall and cell membrane can leads to lysis and to the escape
of macromolecules (Oussalah et al., 2006). Cell membrane is an important site of action.
The permeability of cell membrane gets disturbed by essential oils resulting in
interactions of the chemical constituents thus affecting the cell integrity.
Schncider et al., (2010) demonstrated that if there is no change in cell membrane
functionality, then site of action of essential oil is intracellular. In this case the target of
the essential oil is mainly proteins and enzymes. Thymol is the major constituent of the
essential oil that interacts with cell membrane and affects the membrane permeability
which has been documented by loss of membrane potential (Shapira and Mimran, 2007).
1.7. CHARACTERIZATION OF ESSENTIAL OILS
Essential oils are the mixture of naturally occurring compounds in different
concentrations (Bakkali, 2008). Chemical identification and quantification of all essential
oils are usually done by using Gas Chromatography with Mass Spectrophotometer (GC-
MS) or Gas Chromatography equipped with Flame Ionization Detector (GC-FID)
(Delaquis et al., 2002; Hussain et al., 2008; Anwar et al., 2009).
GC-MS is a method that combines the features of both gas liquid chromatography and
mass spectrometry to identify the different substances present within the sample. The gas
chromatograph utilizes a capillary column which depends on the column’s dimensions
(length, diameter, film thickness) as well as the phase properties. The difference in the
chemical properties between different molecules in a mixture will separate the molecules
the sample travels the length of the column. The molecules take different amount of time
(called retention time) to elute from the gas chromatograph, and this allow the mass
spectrometer downstream to capture, ionize, accelerate, deflect, and detect the ionized
molecules separately. The mass spectrometer does this by breaking each molecule into
ionized fragments and detecting these fragments using their mass to charge ratio.
The identification of individual compound is based on the comparison of their retention
index (RI), Kovate Index (KI) on polar and non-polar column and their mass spectra from
GC-MS (Juliani et al., 2002).
20
1.8. AIMS AND OBJECTIVES
This study was designed with a principal objective to explore a plant based antifungal
strategy to control postharvest decay in stored citrus. This goal was accomplished
through following steps:
1. A survey in various agro ecological zones was conducted to achieve diversity in
sampling of stored citrus.
2. Isolation and identification of storage fungi from collected samples.
3. Essential oils extracted from ten selected plants were tested for their antifungal
activity against Penicillim italicum, the fungus that was isolated from sampled
citrus in highest frequency.
4. Quantitative and qualitative analysis of extracted essential oils using Gas
Chromatographic techniques.
5. To enhance the shelf life of the fruit the efficacy of the top three selected essential
oils were checked In Vivo in cold storage conditions. The study was extended to
analyzed fruit quality by its physiochemical analysis.
21
Chapter 2
MATERIALS AND METHODS
The research work presented in this dissertation was conducted in the
laboratories of the Institute of Agricultural sciences (IAGS), University of the Punjab,
Lahore, Pakistan; University of Vetnary and Animal Sciences (UVAS), Lahore,
Pakistan, and Forman Cristian College (FC), Lahore, Pakistan.
2.1. SAMPLE COLLECTION
The citrus variety mandarin c.v. Kinnow was selected for the present study
on the basis of its economic importance. The fruits were sampled from 22 different
cold storage houses in Punjab, Pakistan (Table 2.1). These regions were selected on
the basis of their storage importance and capacity. Specific locations of places are
indicated by the arrows in the map (Fig. 2.1)
Fig. 2.1: Map of Punjab Pakistan (30o 00´N 70o 00´E) Arrows showing major sampling
cities. Source: http://www.findpk.com/yp/html/punjab_.html.
Faisalabad
31˚ 30′N 73˚ 05′E
Sahiwal
30˚45′N 73˚ 8′E
Multan
30˚ 15′N 71˚ 36′E
Sargodha
32˚ 10′N 72˚ 40′E
Jhang
31˚ 15′N 72˚ 22′E
Chiniot
31˚ 45′N 73˚ 00′E
Lahore
31˚ 32′N 74˚ 22′E
Bhakkar
31˚40′N 71˚ 05′E
22
Table 2.1: List of Cold Storage Houses and Sampling Date
Sr. No. Name of cold storage
house
Location City Date of
sampling
01 Mian Amir cold storage Thokar niaz baig Lahore 21-01-09
02 Bismillah cold storage Sabzi mandi, ravi link
road
// 25-01-09
03 Nadim cold storage Sabzi mandi, ravi link
road
// 25-01-09
04 Lyallpur cold storage Main sussan road, Madina
town
Faisalabad 11-02-09
05 Punjab cold storage P-698 madina gali new
Khalid abad
// 11-02-09
06 R-Tek-Zia Khalid
corporation
Sussan road, inside
Lyallpur cold storage,
near mobilink-skans
college
// 11-02-09
07 Madina cold storage Sillanwali road Sargodha 13-02-09
08 Ranjha cold storage Wan Miana Tehsil
Bhalwal
// 13-02-09
09 Ittefaq cold storage Factory area // 13-02-09
10 Mian cold storage Sebzi mandi, bhakkar Bhaker 27-03-09
11 Siyal cold storage Chauk azam, jhang road // 27-03-09
12 Rafiq cold storage Fareed town Sahiwal 16-02-09
13 Afraat cold storage Shahana road // 16-02-09
14 Abdullah cold storage 88/6R Sharqee road // 18-02-09
15 Al-Makkah cold storage Sargodha road, jhang
sadar
Jhang 29-03-09
16 Khalid cold storage Bhakar road near Daewoo
terminal
// 29-03-09
17 Khawaja cold storage Sebzi mandi // 29-03-09
18 Multan cold storage Opp. MCB, Chowk Shah
abbas , vehari road
Multan 12-01-09
19 Multan Industries Cold
Storage
Chowk Shah Abbas
Vehari Road Multan
// 12-01-09
20 Khalil cold storage Bahawalpur road // 13-01-09
21 Agility Pakistan Pvt. Ltd Chah Dumri Wala, Near
Thatta Ghalla Godam Old
Duiya Pur Road
// 13-01-09
22 Shakarganj food product
limited
Ahmad nagar Chiniot 31-03-09
These samples were labeled, placed in sterilized sampling bags and were
transferred to the laboratory to store at 4oC in refrigerator till fungal isolation.
23
2.2. ISOLATION OF STORAGE FUNGI
The storage fungi were isolated from the samples collected from different
storage houses. Malt Extract Agar (MEA) and Potato Dextrose Agar (PDA) media
were used for the isolation of storage fungi.
2.2.1. Media Composition
a. Potato Dextrose Agar
Potato starch 20gm
Dextrose 20gm
Agar 20gm
Distilled water 1000mL
b. Malt Extract Agar
Malt 20gm
Agar 20gm
Distilled water 1000mL
Above chemicals were dissolved in 1000mL of distilled water. Then pH of the
solution was adjusted to 5.6-5.8 and autoclaved at 121ºC at 15 pounds per squares
inch (psi) pressure for about 15-20 minutes. After autoclaving, the medium was
allowed to cool to a temperature of 40-45ºC and then Chloromycetin was added as
bacteriostatic agent and poured into sterilized petri plates under aseptic conditions.
For isolation of storage fungi from the sampled fruits, the small portion of the
infected part was cut and placed on the surface of the plate containing above
mentioned media and incubated at 25ºC for 7 days. The developing fungal colonies
were counted and identified morphologically. The frequency of individual fungus
isolated from each sampled fruit was therefore determined by using the following
formula described by Giridher and Ready (1970).
Percentage Frequency (%) = No. of observations in which species appeared × 100
Total no. of observations
24
2.3. MORPHOLOGICAL CHARACTERIZATION
Fungal species isolated from the stored fruits were characterized on
morphological basis by using the most documented keys and literature in fungal
identification (Klich, 2002; Samson and Varga, 2007). These fungal species were
identified according to their macroscopical and microscopical characteristics like
colony diameter, colony color, texture, pigments, and characteristics of mycelium,
conidiophore and conidia (Haggag et al., 2006; Okereke et al., 2007).
2.4. ANALYSIS OF GENETIC DIVERSITY AMONG
FUNGAL ISOLATES
According to the percentage of occurrence Penicillium italicum was found as
the most frequently occurring storage fungi so was selected for further genetic
analysis. Genetic variation of eight morphologically similar but geographically
distinct P. italicum isolates was carried out through Random Amplified Polymorphic
DNA (RAPD) analysis.
2.4.1. DNA Extraction
The total genomic DNA of different isolates of P. italicum was extracted by
CTAB method (Doyle, 1991). Fungal tissue was taken and grinded in pestle and
mortar using fermentas glass beads. All the solutions and reagents employed in this
process are shown in Table 2.2.
Table 2.2: Solutions and Reagents for the Extraction of DNA
Solution I
(Extraction Buffer)
Solution II Solution III
(DNA precipitating solution)
2% CTAB
20mM EDTA
100mM Tris HCl (pH 8.0)
1.4M NaCl
0.2% β-Mercaptoethanol
Phenol: Chlorpform: Isoamyl
alcohol
(25:24:1)
Isopropanol (2⁄3 volume)
70% Ethanol
The freshly prepared pre-warmed (65ºC) extraction solution (2.5mL) was
added to the powdered fungal mass in new, autoclaved eppendorf (1.5 mL) and
incubated at 65ºC in water bath for 30 minutes until the mixture turned into jelly like
25
material indicating cell lysis. The sample was cooled on ice for 3-5 minutes till the
mixture was brought to room temperature, then an equal volume (2.5 mL) of solution
II was added. Sample was vortexed for 2 minutes and centrifuged at 10,000g for 10
minutes to separate the organic phases. Aqueous supernatants were transferred to new
tubes and two third volume of cold isopropanol was added to each and then incubated
overnight at 4 ºC.
After 24 hours, the sample was centrifuged at 10,000g for 10 minutes and
transparent DNA pellets were obtained. Washing of pellets was done with 70%
ethanol further pellets were air dried and resuspended in 50µL of Tris HCl EDTA
(TE) buffer.
2.4.2. Estimation of Extracted DNA
After the isolation of DNA the quantification and quality analysis of isolated
DNA is needed to be determined. The approximate quantity of DNA obtained is
necessary for further downstream analysis of the sample which includes polymerase
chain reaction (PCR) optimization steps and random amplified polymorphic DNA
(RAPD) amplifications.
2.4.3. DNA Quantification and DNA Quality Analysis
Quantification of the total genomic DNA from the samples was done using
Techne Spec gene Spectrophotometer (140801-2, UK). The spectrophotometer was
calibrated by taking distilled water at 260nm as well as 280nm as a blank. Then 10µL
of each genomic DNA sample from different isolates was diluted with 900µL of
distilled water in a cuvette and mixed well. The absorbance was taken at 260nm for
the estimation of the concentration of DNA as described by Hoisington et al. (1994).
The concentration was calculated on assumption that absorbance of 1 at 260nm is
equivalent to 50mg mL-1 double stranded DNA or 40mg mL-1 single stranded DNA
(Sambrook et al., 1989). The DNA quantity was calculated by the following equation:
DNA Con. in µg mL-1 ═ Absorbance at 260nm ×Dilution factor ×50
26
The optical density (OD) the DNA sample was also taken at 280nm and the
ratio of 260/280 was determined for the DNA purity. The ratio of the pure DNA
ranges from 1.5-1.9.
2.4.4. Agarose Gel Elecetrophoresis
The quality of the DNA was estimated through 1% agarose gel
electrophoresis. By using this method the DNA fragments were separated by
electrophoresis on 1% agarose gel. An adequate volume of electrophoresis buffer i.e.
1.0 X TAE buffer was made to fill the tank of electrophoresis apparatus. Agarose (1g)
was put into a flask, containing 100mL 1.0X TAE electrophoresis buffer. It was
melted in microwave oven for 1-2 minutes and swirled regularly to make sure proper
mixing of agarose. Gel casting tray was wrapped by scotch tape on its both sides and
a comb having specific number of wells was adjusted on it, for loading samples. The
temperature of melted agarose was lowered to 60 -50ºC before adding 5µL ethidium
bromide (10mg mL-1). The gel was poured in the gel casting tray; bubbles were
removed, and then solidified at room temperature. After that the casting tray was
placed in electrophoresis tank, removed the comb by avoiding tearing of wells. The
gel in casting tray was kept horizontally in an electrophoresis tank, containing 500mL
1x TAE buffer. Gel loading dye 3µL of the 6X was added to 5µL of each sample of
DNA prior to loading the samples into the wells of the gel. The electrophoresis
apparatus was connected to power supply and the immersed electrophoretic gel was
run at 100V for 45 minutes until the dye travelled one-third of the distance in the gel.
DNA bands were visualized using UV transilluminator. The DNA bands were
compared with the 1Kb DNA markers for quality estimation showing the
concentrations of DNA in ng µL-1. Hence, the DNA concentration was maintained to
25ng µL-1 for polymerase chain reaction (PCR) amplifications.
2.4.5. Random Amplification of Polymorphic DNA Analysis
The random amplified polymorphic DNA (RAPD) analysis is an exclusive
marker for studying DNA polymorphism in different fungal isolates for exploring
phylogenetic relation among them. RAPD analysis was performed by following
method as depicted by Ranganath et al. (2002).
27
2.4.5.1. Random Primer Screening
A set of twenty primers procured from SBS Genetech co. Ltd-Beijing, China
were used in Random Primer Screening (RAPD) analysis for the initial screening
(Table 2.3). Majority of these primers produced clear, distinct and reproducible bands
in different isolates of P. italicum. The primers were diluted up to 100 picomole
concentration before use in RAPD analysis. All the isolates of P. italicum were tested
against these primers.
Table 2.3: List of Primers Used for the RAPD Analysis.
Name Sequence ( 5'- 3' ) Length MW nmol GC (%)
SBSA01 CAG GCC CTT C 10 2964 111.3 70%
SBSA02 TGC CGA GCT G 10 3044 108.4 70%
SBSA03 AGT CAG CCA G 10 2997 110.1 60%
SBSA04 AAT CGG GCT G 10 3068 107.6 60%
SBSA05 AGG GGT CTT G 10 3099.1 106.5 60%
SBSA06 GGT CCC TGA C 10 3004 109.9 70%
SBSA07 GAA ACG GGT G 10 3117.1 105.9 60%
SBSA08 GTG ACG TAG G 10 3108.1 106.2 60%
SBSA09 GGG TAA CGC C 10 3053 108.1 70%
SBSA10 GTG ATC GCA G 10 3.68 107.6 60%
SBSA11 CAA TCG CCG T 10 2988 110.4 60%
SBSA12 TCG GCG ATA G 10 3068 107.6 60%
SBSA13 CAG CAC CCA C 10 2941.9 112.2 70%
SBSA14 TCT GTG CTG G 10 3050 108.2 60%
SBSA15 TTC CGA ACC C 10 2948 111.9 60%
SBSA16 AGC CAG CGA A 10 3046 108.3 60%
SBSA17 GAC CGC TTG T 10 3019 109.3 60%
SBSA18 ACG TGA CCG T 10 3068 107.6 60%
SBSA19 CAA ACG TCG G 10 3037 108.7 60%
SBSA20 GTT GCG ATC C 10 3019 109.3 60%
28
2.4.5.2. RAPD Reaction Mixture
RAPD reaction was carried out by using the standard reagents. All the process
for the preparation of reaction mixture was carried out on ice under sterile conditions.
The following RAPD reagents with optimized concentrations were tested.
PCR Buffer {10X} {10X} 5.0µL
MgCl2 (25mM) (1.5-3.0mM) 5.0µL
dNTPs (2.0 mM) (0.2mM) 5.0µL
RAPD primers (100pMole⁄µL) 5.0µL
Template DNA (0.5-1µg) 5.0µL
Taq Polymerase (2.5U⁄ µL) 1U 0.5µL
Double distilled deionized water 28µL
Total volume 50µL
The prepared reaction mixture was supplied by the company Enzynomics,
Korea continuing all above mention reagents excluding primers and DNA. The
advantage of using the supplied reaction mixture was to avoid the errors during the
preparation of PCR reaction mixture along with the less consumption of time.
Reaction mixture (Enzynomics, Korea) 10µL
DNA 1µL
RAPD Primers 1µL
Double distilled deionized water 8µL
2.4.5.3. RAPD Temperature Cycling Conditions
RAPD amplifications were carried out in PCR machine (Eppendorf) with
initial denaturation at 94ºC for 5 minutes, followed by 40 cycles of denaturation at
94ºC for 1 minute, annealing at 35ºC for 1 minute and extension was set for 1 minute,
final extension was done at 72ºC for 15 minutes. The reaction was hold at 4.0ºC. The
five annealing temperature conditions including 31, 32, 33, 34 and 35ºC were checked
to find the optimized temperature for the primers used in the study. The subsequent
amplifications were done at 35ºC optimum annealing temperature.
29
Fig. 2.2: Three PCR heat steps were innolved in temperature optimization.
2.4.5.4. Analysis of Amplified DNA Fragments
The analysis of the RAPD amplified bands were performed on 1% agarose
gel. Before loading the RAPD amplified DNA in the wells of gel, 5µL of 6 gel
loading dye was added to the 50M RAPD sample. DNA ladder of 1Kb was also
loaded on the both sides of the gel to compare the size of different amplified
fragments in RAPD analysis. The gel was run at 100 volts for 45 minutes at room
temperature. The bands were examined under UV transilluminator and photographed
on the gel documentation system.
2.4.5.5. Data Analysis
RAPD profiles were recorded by visually comparing RAPD amplification
profiles and scoring the presence or absence of each band for each primer
(Halmschlager et al., 1994). The bands obtained from 1% agarose gel electrophoresis
were combined in a binary matrix in two - discrete - character - matrix (0 and 1 for
absence and presence of RAPD–markers, respectively). The bands were calculated
starting from top of the lanes to their bottom. The amplification profiles of different
isolates of the P. italicum were compared with each other. In order to assess the
overall distribution of genetic diversity, data was analyzed by using MINITAB
software.
94ºC
5 min
94ºC
1 min
1 min
72ºC
5 min
Final extension
72ºC
10 min 35ºC
30
2.5. SCREENING OF MOST PATHOGENIC ISOLATE OF
P. ITALICUM
This trial was carried out to screen most pathogenic isolate of P. italicum
among eight genetically diverse isolates from different regions of Punjab. A very
simple, rapid and quantitative method for the evaluation of radial growth was
followed as described by Baiyewu et al. (2007) and Chukwuka et al. (2010) with
slight modifications. Individual isolate of P. italicum was tested on fresh mandarin
fruits and fungal deterioration of fruit was observed.
Fresh mandarin c.v. Kinnow fruits were taken and washed with running tap
water and rinsed with distilled water. After washing the fruits were surface sterilized
with 75% ethanol. A sterile stainless steel scalpel was used to make a 2mm deep
wound in each of the fruit. Spore suspension (15µL) of each isolate was inoculated
into each wound using a micropipette under aseptic conditions. The concentration of
spore suspension was adjusted to 106 spores per milliliter by using a haemocytometer.
The inoculated fruits were placed in sterile petri plates in incubator for a week at
25±1oC. This experiment was replicated three times. After incubation period
percentage of fruit decay for each isolate was calculated. The isolate causing highest
fruit decay was selected for the further trails. The stock cultures were prepared for
further experimentations and were stored in refrigerator at 4oC.
2.6. COLLECTION OF PLANT MATERIAL
The following plant species were used as raw material for the extraction of
essential oils (Table 2.4). These plants were selected keeping in view their
documented antimicrobial properties and easily availability. These plants can also be
easily grown in the prevailing climatic conditions of Pakistan.
Spices which comprised the seeds of carom, cumin and fennel, bud of clove
and bark of cinnamon were purchased from the market as they are easily available at
cheap prices in the South Asian region. These spices exhibit strong aromas due to the
high molecular weight volatile compounds and are also the main constituent of
pickles and sauces to enhance their shelf life against microbial attacks. Other plants
like the mature leaves of lemon grass, eucalyptus, neem, sweet basil and holy basil
31
were collected from the surroundings of the Institute of Agricultural Sciences,
University of the Punjab during early afternoon, because maximum contents of
volatile oil occur at this time (Clark and Menary, 1980). The collection was made at
different times of the year depending upon the availability of the plant species and
plant parts selected for extraction purpose. The collected plant materials were cleaned
thoroughly.
Table 2.4. Sources of Essential Oils
Sr.
No. Botanical name English name Family Plant part used
Collection
period
1 Eugenia caryophyllata T. Clove Myrtaceae Bud March 2009
2 Cinnnamomum zylanicum J. Cinnamon Lauraceae Bark //
3 Cuminum cyminum L. Cumin Umbelliferae Seeds //
4 Foeniculum vulgare M. Fennel Umbelliferae Seeds //
5 Trachyspermum captivum L. Ajwain Umbelliferae Seeds //
6 Cymbopogon citratus S. Lemon grass Poaceae Leaves April 2009
7 Azadirachta indica L. Neem Meliaceae Leaves June 2009
8 Eucalyptus globulus L. Eucalyptus Myrtaceae Leaves //
9 Ocimum basilicum L. Sweet basil Lamiaceae Leaves July 2009
10 Ocimum sanctum L. Holy basil Lamiaceae Leaves //
2.7. EXTRACTION OF ESSENTIAL OILS
Extraction of essential oils from the raw material was conducted by the
hydrodistillation in a Clevenger apparatus (Clevenger, 1928) for 4-5 hours as
prolonged extraction normally increase the yield of essential oil (Gildemeister and
Hoffman, 1961). Distillates of essential oils were then dried over anhydrous sodium
sulphate (Kumar et al., 2007) and stored in brown glass bottle at 4oC until analyzed.
2.8. ANALYSIS OF ESSENTIAL OILS
2.8.1. Chemical Analysis
The chemical identification and quantification of constituents of pure
extracted essential oils were undertaken by gas chromatography-mass spectroscopy
32
(GC-MS) and gas chromatography- flame ionization detector (GC-FID) techniques
respectively.
2.8.1.1. Gas Chromatography/Mass Spectrometry (GC-MS) Analysis
The essential oils were subjected to GC-MS analysis using a Hewlett-Packard
mass detector (model, 7890) coupled with mass spectrometer selective detector 5975.
Analysis was carried out using a column HP5 mass-selective detector (MSD) (30m ×
0.25mm; 0.25µm film thickness), the working conditions were as follows: Helium
was the carrier gas at a flow rate of 1mL/min. Diluted sample (1:100 v/v, in methanol)
of 1µL were inserted by hand at temperature 250ºC. Oven temperature conditions
were: 12.5 minutes isothermal at 62ºC subsequently programmed heating from 62 to
92ºC at a rate of 3ºC/min and from 92 to 165ºC at a rate of 5ºC/min and after that
10ºC/minutes steps up to 310ºC and finally held isothermally for 2.5 minutes.
2.8.1.2. Gas Chromatography/Flame Ionization Detector (GC-FID)
Analysis
For quantification of the components of the essential oils GC-FID (Agilent)
equipped with FID detector. Column HP-5 (5% Phenyl Methyl Siloxane; 30mm x
0.32mm film thickness 0.25µm) was used. Sample of 1µL was injected in split mode
(50:1). Nitrogen was used as a carrier gas with flow rate of 30ml/min. oven
temperature was maintained at 70°C for 1 minute then programmed heating from 70-
250 at rate of 30°C/minute and from 250-290°C, at a rate of 20°C/minute and then
10°C/minute steps up to 300°C and finally held for 2 minutes. The relative percentage
peak area of the individual component of the essential oils was obtained from the FID
chromatograms.
The different components of the essential oils were recognized by matching
their mass spectra. NIST (National Institute of Standards and Technologies) Mass
Spectra Library was used as a reference (Adam, 2001; Mass Spectral Library, 2002).
As well as based on the comparison of their retention index (RI), kovats index (KI)
(Finar, 1978) and by comparison with literature data (Mimica-Dukic et al., 2003;
Vagionas et al., 2007).
33
2.9. ANTIFUNGAL ACTIVITY
2.9.1. Concentration of Essential Oils
Stock solution (0.05%) of Tween 80 was prepared in distilled sterilized
water. Different concentrations of plant essential oils were prepared by adding 3, 6,
12, 24 and 48µL mL-1 of pure essential oil in 1mL of Tween 80 stock solution (Soylu,
2005).
2.9.2. Preparation of Spore Suspension
Culture of P. italicum (Lahore isolate) was grown on MEA medium at 25ᵒC
for seven days prior to each experiment. Spores from the surface of the culture were
removed and then suspended in 5 mL of sterile distilled water. Spore suspension was
prepared in 0.05% (v/v) Tween 80 and the inoculum concentration was adjusted to the
recommended dose for P. italicum i.e. 106 spores per milliliter by using
haemocytometer (Eckert and Ogawa, 1985; Abdolahi et al., 2010).
2.9.3. In Vitro Antifungal Assay
2.9.3.1. Agar Dilution Assay
For antifungal assay of essential oils against P. italicum (Lahore isolate) was
performed by mixing essential oils with MEA medium. The medium was autoclaved
at 121oC for 20 minutes at 15 Psi then cooled to about 45oC. The essential oil
concentrations were prepared as described above and subsequently mixed with sterile
molten MEA medium. Thirty milliliters of media was decanted into each petri plate
which was then inoculated with test fungi by using a fine sterilized needle. After
inoculation the Petri plates were placed in incubator for seven days at 25±1°C. Three
replicates of each treatment were experimented.
2.9.3.2. Volatile Assay
The antifungal activity of essential oils against P. italicum was also checked
through volatile assays. In this method the MEA plates were first inoculated at one
34
point with test fungi and then pure extracted essential oils in quantities of 3, 6, 12, 24,
and 48µL mL-1 were applied on the surface of the sterilized filter paper, which was
placed in the lid of the petri plate. After inoculation the plates were incubated in
inverted position for seven days at 25±1°C. The zone of inhibition was measured in
two directions at 90 degree to each other (Ndukwe et al., 2006).
The colony diameter of test fungi was measured by calculating the average
radial growth. The percentage of mycelial growth inhibition of each essential oil
concentration was calculated from the mean colony diameter of control plate and from
the mean colony diameter (cm) on each essential oil amended plate. Percentage
inhibition of mycelial growth was revealed using this particular formula (Nwachukwu
and Umechuruba, 2001).
%MGI = (�̅�-Xi /�̅�) × 100
Where,
% MGI denotes: % of mycelial growth inhibition
�̅�=Mean diameter (cm) of control colony on non-amended medium
Xi=Mean diameter (cm) of tested colony replicates on a single plant essential oil
concentration amended plate (zone of growth).
2.9.4. In Vivo Antifungal Assay
2.9.4.1. Surface Sterilization of Mandarin Fruit
The preliminary washing of mandarin c.v. Kinnow fruit was done under
running tap water for 2 minutes. After this the fruit was washed with 6% sodium
hypochlorite solution by dipping in a bucket (Kanan and Al-Najar, 2009).
Consequently, this was followed by dipping the fruit in sterile distilled water for two
minutes and surface sterilization in 70% ethanol for another two minutes. Finally the
fruits were placed inside a laminar flow cabinet under aseptic conditions for
subsequent inoculation.
2.9.4.2. Fruit Inoculation with Fungal Spores and Plant Essential Oils
A wound was made at the equatorial side of the fruit with a sterile stainless
steel scalpel. The size of each wound was approximately 4 mm long and 2 mm deep
(Zhu et al., 2006). Spore suspension (as prepared in section 2.9.2.) (15µL) was
35
inoculated into each wound using a micropipette under aseptic conditions. After two
hours of incubation, the pre-determined concentration from each plant essential oil
was inoculated into each wound (Kanan and Al-Najar, 2009). The sterile distilled
water was used instead of essential oil as a control along with the other same
treatments. Three replicates were prepared for each treatment. The treated fruits were
labeled, placed in sterilized petri plates and incubated at 25±2°C for fifteen days to
assess the rate of fungal deterioration on daily basis.
2.10. IN VITRO ANTIFUNGAL ACTIVITY OF MAJOR
COMPONENTS OF ESSENTIAL OILS AGAINST P.
ITALICUM
The commercial volatile compounds purchased from company ChromaDex, Inc.
Irvine, California, USA with at least 95% purity screened In Vitro for their ability to
control the mycelial growth of P. italicum. For this experiment concentrations of
50µL L-1, 100µL L-1 and 200µL L-1 were prepared for each compound (Neri et al.,
2006). The vapor phase method was conducted for the assessment of antifungal
activity of each volatile component against P. italicum. In this method, petri plates
containing MEA medium were inoculated with the test fungus (P. italicum), after that,
different concentrations of volatile compounds were added to the filter paper
(Whatmann no. 04) through micropipette and fitted on the inner side of the lid of petri
plate. Then petri plates were incubated in inverted position for 7 days at 25oC. For the
control, filter paper was impregnated with sterile distilled water instead of volatile
component. The three replicates of each treatment were experimented. The percentage
inhibition of mycelial growth was determined using the formulae (Abdolahi et al.,
2010).
IMG% =(dc − dt)
dc× 100
Where,
IMG= inhibition of mycelial growth
dc= mycelial growth measurement in control
dt= mycelial growth measurement in treatment
36
2.11. EFFECT OF SELECTED ESSENTIAL OILS ON POST-
HARVEST PHYSICOCHEMICAL CHANGES IN CITRUS
FRUIT DURING COLD STORAGE
For the evaluation of the fruit quality, fresh mandarin c.v. Kinnow fruits were
harvested from commercial garden located in Bhalwal (Punjab, Pakistan) and
immediately transferred to the laboratory. Healthy fruits of uniform physiological age
and size were selected. Fruits were washed with running tap water and then surface
sterilized by dipping in 6% sodium hyopocholorite solution for one minute (Kanan
and Al-Najar, 2009). Surface sterilization was followed by two washings with water.
In this experiment, the concentrations of 200 and 400µL L-1 (Solaimani et al., 2009)
of selected essential oils including T. captivum, F. vulgare and E. caryophyllata were
used. These essential oils proved to have characteristic significant antifungal
properties in previous bioassays. The essential oils were applied on the surface of the
fruit by immersing fruits for 10 and 20 minutes in essential oil solution (Solaimani et
al., 2009). After that the fruits were kept in wooden crates lined with double layer of
newspaper and stored at 4ºC for 8 weeks. For the control, same treatments were
accomplished on the fruit using sterile water instead of essential oil. Each crate
representing one replicate contained sixteen fruits. The quality of the fruits was
analyzed every week and following analyses were done on three replicates of each
treatment.
2.11.1. Weight Loss
All fruits were weighed (Digital Electrical Balance, JA5003N) on day one
and numbered respectively. The marked fruits from each treatment were weighed
again after every one week of storage period. The difference between the two was
used to calculate percentage of weight loss by using following formula:
W1 =w0 − 𝑤𝑡
𝑤0× 100
Where,
w1= Percentage weight loss
37
w0 = Initial weight of the fruit on day one.
wt = Weight of the fruit after a storage period.
Similarly following parameters were measured using described protocols after
regular intervals of 7 days up to 8 weeks.
2.11.2. Juice Content
The juice content in citrus fruit was determined by extracting the juice from
fruits of each treatment by using electric juice extractor and the volume of the juice
was determined by measuring glass cylinder. Extracted juice was then filtered through
two layers of cheese cloth for further analysis.
2.11.3. pH
The pH of extracted juice samples was determined by using pH meter (Bante
Instrument, PHS-38w microprocessor) already standardized to pH 7.
2.11.4. Total Soluble Solids (TSS)
Total soluble solids were examined directly from the citrus juice by using
hand refractrometer (model PGH). A few drops of juice were placed in the
refractrometer and total soluble solids were measured in ºBrix. Three readings were
taken from each sample and then mean value was used.
2.11.5. Ascorbic Acid
For the quantification of ascorbic acid, 1mL of citrus juice was diluted in 0.4%
oxalic acid solution and volume was made up to 10mL. Then this solution was titrated
against the standard dye solution until light pink color appeared. A blank titration was
also carried out. Ascorbic acid was calculated at eight days interval according to the
following formula (Anon, 1990).
Ascobic acid =F × T × 10
D × S× 100
38
F = factor for standardization =𝑤ℎ𝑒𝑟𝑒 (𝑚𝐿 𝑜𝑓 𝐴𝑠𝑐𝑜𝑏𝑖𝑐 𝑎𝑐𝑖𝑑)
𝑚𝐿 𝑜𝑓 𝑑𝑦𝑒
Where,
T = mL of dye used for sample – mL of dye used for blank
D = mL of sample taken for dilution
S = mL of dilute sample taken for titration
2.11.6. Titratable Acidity (TA)
Titratable acidity of extracted juice was determined as amount of citric acid
in g 100mL-1. Extracted juice was strained, using 4 folds muslin cloth. Ten milliliters
of juice and 50mL of deionized water was added into a 250mL Erlenmeyer flask with
few drops of phenolphthalein as an indicator and titrated against 0.1 N NaOH solution
at pH 8.2 to a definite pink end point. The results were converted to percent citric acid
and expressed in terms of fresh weight (AOAC, 2005).
TA = (mL NaOH × 0.1𝑁 ×0.064
6.00𝑔 𝑜𝑓 𝑗𝑢𝑖𝑐𝑒) × 100
2.12. STATISTICAL ANALYSIS
Data obtained from all experiments were subjected to different statistical analysis
using Analysis of Variance (ANOVA) and significant relationship at p<0.05 with
Duncan multiple range tests (DMRT) and p=0.05 with Fisher’s Least Significant
Difference (LSD) methods by using DSSTAT software. Results obtained from
physicochemical changes in citrus fruit during storage were also analyzed using linear
regression in Microsoft excel software. All the experimental results were performed in
triplicate of various tested parameters and the results were expressed as means ±
standard errors. The antifungal activity of the essential oils against P. italicum on
citrus fruit were documented in the text was calculated as percentage (%).
39
Chapter 3
RESULTS
A survey of different cold storage houses of major citrus growing districts of
Punjab including Sargodha, Lahore, Faisalabad, Multan, Sahiwal, Jhang and Bhakar
was conducted from January to March 2009.
3.1. ISOLATION AND IDENTIFICATION OF STORAGE
FUNGI
3.1.1. Morphological Identification
A total of sixteen different fungal species were isolated from all sampled
mandarin fruits and were identified on the basis of their cultural and morphological
characteristics. Binocular microscope was used in the identification of various fungal
isolates because defining characteristics were used to distinguish among them. The
fungi identified were Aspergillus niger Van Tiegh, Aspergillus flavus Link,
Aspergillus fumigatus Fresenius, Aspergillus terreus Thom, Penicillium verrucosum
Dierckx, Rhizopus arrhizus Fischer, Rhizopus stolonifer (Ehrenb) Vuill, Aspergillus
parasiticus Speare, Fusarium oxysporum Schlecht, Penicillium citrinum Thom,
Aspergillus awamorii Nakaz, Alternaria alternate (Fries) Keissler, Fusarium solani
(Mart.) Sacc., Mucor sp. and Dreshlera sp. (Table 3.1).
3.1.2 ANALYSIS OF GENETIC DIVERSITY AMONG
FUNGAL ISOLATES
The frequency of occurrence of each specie of fungi found associated with the
deterioration of sampled mandarin fruits is shown in Table 3.2. The principal
mycoflora obtained belongs to seven different genera including Aspergillus,
Penicillium, Rhizopus, Fusarium, Alternaria, Dreschlera, and Mucor. The genus
Aspergillus was found as the most dominant genera with a frequency of occurrence of
42.97% followed by the Penicillium (38%), Rhizopus (9.08%), Fusarium (4.95%),
Alternaria (2.47%), Mucor (1.65%) and Dreschlera (0.82%).
40
Table 3.1: Morphological Characteristics of Different Storage Fungi Isolated from Sampled Mandarin Fruits.
Name of
fungus
Colony
diameter
Colony
Texture
Obverse Reverse Characters
of hyphae
Conidiophore Conidia
Penicillium
italicum
5-6 cm in
14 days
Less
fasciculate
Bluish
green
Uncolored
to yellow
brown
Septate,
hyaline
Smooth walled,
hyaline, matulae and
phailides present
Ellipsoidal to cylindrical,
smooth walled, greenish
4.0-5.0 x 2.5-3.5 µm.
Penicillium
verrucosum
2.5-3.5
cm in 14
days
Velvety or
almost
floccose
Grey
green
Yellowish
Septate,
hyaline
Two-stage branched,
rough walled
Globose to subglobose,
smooth walled, greenish,
3.0-4.0 µm in diameter.
Penicillium
citrinum
2-3 cm in
14 days
Velutinous to
floccose
Greyish to
turquoise.
Bright
yellow
Septate,
hyaline
Smooth walled,
matulae and phailides
present
Spherical to subspherical,
smooth-walled or finely
roughened, 2.23.0 µm in
diameter.
Aspergillus
niger
5-6 cm in
7 days
Powdery Black Off-white Septate,
conidial head
radiate and
biseriate
Broad, long, hyaline,
thick walled, brownish,
matulae and phailides
covered the entire
vesicle
Globose, irregularly
roughened, brown to
black, 6-7 µm in diameter.
Aspergillus
flavus
6-7 cm in
7 days
Powdery Yellow
green
Pale
brown
Conidial
head radiate,
biseriate,
Hyaline, long,
roughened, matulae and
phailides covered the
entire vesicle
Subspherical, pale green,
smooth to finely
roughened, echinulate, 3.5
to 6 µm in diameter.
Aspergillus
fumigatus
7 cm in 7
days
Velvety Bluish
green
Greyish Vesicle
pyriform,
uniseriate
Clavate vesicle, thick
walled
Globose to subglobose,
smooth, echinulate, green,
2.5-3 µm in diameter.
Aspergillus
terreus
6-7 cm in
7 days
Velvety or
almost
floccose
Orange
brown
Yellow
brown
Conidial
heads
columnar,
biseriate
Long, smooth, thick
walled, hyaline, vesicle
hemispherical
Globose to slightly
ellipsoidal, smooth
walled, 1.6-2.5 µm.
Aspergillus
awamorii
4.5-
5.5cm in
7 days
Velvety Green Off-white Biseriate, Smooth walled, vesicle
subglobose
Cylindrical to ellipsoidal,
coarsely roughened, 3.5-
4.5 µm in diameter.
Conti…..
41
Aspergillus
parasiticus
5-6 cm in
7 days
Velvety or
floccose
Dark
green
Yellow
Orange
Uniseriate, Roughened, vesicle
spherical
Roughened, echinulate
and coarsely spiny,
globose, 4.2-5µm in
diameter
Rhizopus
arrhizus
Full plate
(9cm) in
3-4 days
Cottony White Brown Hyphae
branched and
aseptate,
rhizoids
present
Short, nonseptate,
smooth walled, simple
and branched,
columella globose
Unicellular, ovoid to
more or less globose,
hyaline to brown in color,
4-11µm in diameter
Rhizopus
stolonifer
Full plate
(9cm) in
3-4 days
Cottony white yellow
brown
Mycelium
aerial,
aseptate
hyphae,
rhizoids well
developed
Dark, subglobose rigid,
sporangia pale to
brown, straight,
columella conical
Angular-globose to
ellipsoidal, thick walled,
13µm in length.
Mucor
mucedo
Full plate
(9cm) in
3-4 days
Cottony Grey Yellowish
brown
Columella
obovoid,
ellipsoidal,
with truncate
base
Short, unbranched,
recurved and encrusted
wall Sporangia
brownish to grey
Thick walled, cylindrical
to ellipsoidal,
subspherical, 11-13 x 6-
7µm.
Fusarium
oxysporum
4.6-6.5
cm in 4-5
days
Sparce to
floccose
Snow
white
purple Macro and
microconidia
are present
Short, single in aerial
mycelium,
clamydospores are also
present
Macroconidia septate,
fusiform, moderately
curved, pointed at both
ends 23-54 x 3-4.5 µm,
microconidia non-septate,
ellipsoidal to cylindrical,
straight or often curved, 5-
12 x 2.3 - 3.5 µm.
Fusarium
solani
4.5-6.5 in
7 days
Floccose White to
cream
Brown Macro and
micro
conidia
present
Short and multi
branched form
sporodochia, hyaline,
globose, smooth to
roughened
Macroconidia fusiform,
curved, short, with blunt
apical and pedicellate
basal cells 28-42 x 4-6
µm, Microconidia
Conti…
..
42
clamydospores are
present.
cylindrical to oval, one- to
two-celled , 8-16 x 2-4.5
µm.
Alternaria
alternata
6-7 cm in
7 days
Cottony Greyish
black with
white
margin
Creamy Hyphae
branched and
septate,
brown
Simple, straight,
brown.
Ovoid, obclavate and dark
brown in color, 25-30 × 5-
9 µm.
Dreshlera
hawaiiensis
4-5.5 cm
in 7 days
Effuse Blackish
to brown
Black Hyphae
branched and
septate,
hyaline and
smooth
walled
Unbranched, brown
and septate.
Straight, fusiform to
ellipsoidal, septate,
rounded at both ends,
smooth walled, pale
brown, 12-22 × 8-15 µm.
43
Table 3.2: Frequency of Occurrence of Different Fungal Genera Isolated from
Sampled Fruits.
Sr. No. Fungi isolated % Frequency of occurrence
1 Aspergillus 42.9
2 Penicillium 38
3 Rhizopus 9.1
4 Mucor 1.6
5 Fusarium 4.9
6 Alternaria 2.5
7 Dreschlera 0.8
Where; n= 78
Table 3.3: Frequency of Occurrence of Storage Fungi isolated from Sampled
Fruits.
Sr. No. Fungi isolated % Frequency of occurrence
1 Penicillium italicum 29.7
2 Penicillium verrucosum 5.8
3 Penicillium citrinum 2.5
4 Aspergillus niger 14.9
5 Aspergillus flavus 9.1
6 Aspergillus fumigatus 7.4
7 Aspergillus terreus 5.8
8 Aspergillus awamorii 2.5
9 Aspergillus parasiticus 3.3
10 Rhizopus arrhizus 4.9
11 Rhizopus stolonifer 4.1
12 Mucor mucedo 1.6
13 Fusarium oxysporum 3.3
14 Fusarium solani 1.6
15 Alternaria alternata 2.5
16 Dreshlera hawaiiensis 0.8
Where; n= 78
44
When frequency of occurrence of each fungal species isolated from mandarin
fruits was calculated, Penicillium italicum was found the most frequently isolated fungus
with the highest percentage of occurrence of 29.75% among all isolates (Table 3.2). This
was followed by the Aspergillus species where A. niger showed a percentage of
occurrence of 14.87%, which was followed by A. flavus with 9.09% and A. fumigatus
with 7.43% frequency of occurrence. Whereas, least occurring fungi Mucor sp. and
Dreshlera sp. were found with the percentage of 1.65% and 0.82% respectively. The
results revealed that P. italicum is widespread among all examined sampled fruits that is
why it was selected for further experimentation.
3.1.3. Genetic Analysis of P. italicum Isolates
Penicillium italicum showed highest frequency of occurrence in all mandarin
fruits sampled from eight different districts of citrus producing belt in Punjab, Pakistan.
Genetic analysis of different isolates was carried out to determine the genetic variation
and genetic diversity among these eight geographically distinct isolates by using RAPD-
PCR technique (Table 3.4).
Table 3.4: Qualitative and Quantitative Spectrophotometric Analysis of Extracted
DNA.
Sr.
No.
P.
italicum
isolates
Spectrophotometric reading of
Extracted DNA
Ratio
260/280
Conc. of Extracted
DNA(µg mL-1
)
at 260 nm at 280 nm
1 Pi Lhr 1.504 1.332 1.13 60
2 Pi Mul 0.812 0.866 0.94 29
3 Pi Fsd 0.046 0.056 0.82 1.0
4 Pi Chn 1.479 1.303 1.13 59
5 Pi Jhg 0.084 0.080 1.04 3.0
6 Pi Bhk 0.163 0.175 0.93 6.0
7 Pi Sh 0.001 0.001 1.00 4.5
8 Pi Sgd 0.123 0.117 1.06 5.0
45
Table 3.5: Random twenty decamers used in initial screening, their accessions,
sequences, number of polymorphic bands, percentage of polymorphic products and
size of bands produced by each primer.
Name Sequence ( 5'- 3' ) Nano mole Total no.
of Bands
No. of poly
morphic
bands
%age of
polymorphic
bands
Size of
bands in
base pairs
SBSA01 CAG GCC CTT C 111.3 40 11 28 250-1000
SBSA02 TGC CGA GCT G 108.4 39 7 17% 200-1500
SBSA03 AGT CAG CCA G 110.1 39 15 38% 200-700
SBSA04 AAT CGG GCT G 107.6 45 10 7% 300-1000
SBSA05 AGG GGT CTT G 106.5 29 5 17% 300-900
SBSA06 GGT CCC TGA C 109.9 37 5 14% 200-1200
SBSA07 GAA ACG GGT G 105.9 34 13 38% 400-1800
SBSA09 GGG TAA CGC C 108.1 46 6 13% 200-1400
SBSA10 GTG ATC GCA G 107.6 39 15 38% 270-1500
SBSA11 CAA TCG CCG T 110.4 41 9 22% 200-1600
SBSA12 TCG GCG ATA G 107.6 42 18 43% 400-1900
SBSA13 CAG CAC CCA C 112.2 63 7 11% 340-2000
SBSA14 TCT GTG CTG G 108.2 14 6 43% 350-800
SBSA16 AGC CAG CGA A 108.3 10 2 20% 300-1500
SBSA17 GAC CGC TTG T 109.3 11 3 27% 900-1500
SBSA18 ACG TGA CCG T 107.6 50 2 4% 200-1400
SBSA19 CAA ACG TCG G 108.7 47 7 15% 250-1100
SBSA20 GTT GCG ATC C 109.3 45 5 11% 200-1100
A total of 20 RAPD decamers (Table 3.5) were used for testing the genetic
variability among eight isolates of P. italicum of which two primers (Primer SBSA08 and
SBSA15) did not show any amplification and hence dropped in the initial screening of
the random primers. Remaining 18 random primers produced easily scorable and
reproducible banding patterns, which were designated in genetic coefficient matrix in
Minitab 16 software for further analysis. Total amplified polymorphic bands ranged from
approximately 200 base pairs to 2000 base pairs in RAPD profile. There was a low
46
percentage of polymorphism in different isolates of P. italicum. The average number of
polymorphic bands perceived per primer was 8.22. The RAPD profiles produced with the
primers (SBSA06, SBSA07, SBSA11, SBSA12, SBSA13, and SBSA18) and banding
pattern are shown in Fig. 3.1. The ladder 100 base pairs was run as markers on both sides
along with the negative control in which only water was used instead of DNA that
indicates the credibility of the reaction mixture having no amplified band.
A dendogram based on UPGMA analysis indicated that the eight isolates formed three
major groups GI, G2 and G3 confirming some level of genetic variation among the
isolates of P. italicum (Fig. 3.2). The similarity coefficient ranged from 0 to 0.23
indicating that no two isolates are 100% similar and the differences are present among all
of the isolates. Group 1 (G1) was further divided in to three subgroups containing five
isolates naming Pi Lhr, Pi Mul, Pi Jhg, Pi Bhk and Pi Sdg. Group 2 (G2) consisted of two
isolates, Pi Fsd and Pi Chn while group 3 (G3) consisted of only one isolate, Pi Sh.
The first subgroup consisted of two isolates collected from Lahore and Multan, which
were 3% distant from each other while this subgroup is 9% distant from the second
subgroup containing two isolates collected from Jhang and Bhakar regions of Punjab.
There is much similarity seen in isolates collected from Jhang and Bhakar, which are 1%
distant from each other. This subgroup was 5% distant from the third subgroup which
contained only one isolate collected from Sargodha cold storage house. G2 is 2% distant
from G1 while G3 was 4% and 6% distant from G1 and G2, respectively.
47
-ve M 1 2 3 4 5 6 7 8 M -ve M 1 2 3 4 5 6 7 8 M
M 1 2 3 4 5 6 7 8 -ve M -ve M 1 2 3 4 5 6 7 8 M
-ve M 1 2 3 4 5 6 7 8 M -ve M 1 2 3 4 5 6 7 8 M
Fig. 3.1: RAPD profile of eight isolates (1-8 shown in Table 3) of P. italicum produced
by random primers (SBSA06, SBSA07, SBSA11, SBSA12, SBSA13, and
SBSA18. Molecular weight markers (M in base pairs) are indicated on the both
sides (100 base pair DNA ladder, cat # DM001), -ve sign shows the well with
negative control in PCR reaction.
48
Fig. 3.2: UPGMA cluster analysis based dendogram depicting the genetic relationship among
selected P. italicum isolates.
49
3.1.4. Screening of Most pathogenic Isolate of Penicillium
italicum
To select the most pathogenic strain of Penicillium italicum, all the eight
strains of the fungus were checked through their inoculations on mandarin fruits. The
results showed that all the eight isolates are pathogenic and have an ability to cause
postharvest infection in selected fruit. However, their pathogenic ability showed slight
variation (Fig. 3.3). The Lahore (Lhr) isolate was found most pathogenic among all as it
produces 93% decay in treated fruits. This was followed by Faisalabad (Fsd) isolate with
88% deterioration of inoculated fruits in seven days. Sargodha (Sdg) and Multan (Mul)
isolates were found equally pathogenic and they caused 85% decay in selected fruits.
Rest of the four isolates i.e., Sahiwal (Shw), Jhang (Jhg), Chiniot (Chn) and Bhakar
(Bhk) isolates found statistically equally significant (P=0.05) in causing deterioration of
treated fruits and the percentage of decay was between 60-70% (Fig. 3.3).
Fig 3.3: Screening of most pathogenic isolate of Penicillium italicum. Values are mean
of three replicates analyzed individually; Vertical bars show standard error of
means of three replicates. Values with different alphabetic letters indicate
significant differences (P=0.05) as determined by Duncan’s Multiple Range
(DMR) test.
0
20
40
60
80
100
120
Lhrisolate
Fsdisolate
Sdgisolate
Mulisolate
Shwisolate
Jhgisolate
Chnisolate
Bhkisolate
Per
cen
tage
of
fru
it d
eter
iora
tion
a ab
c c
c c
b b
50
PLATE: 3.1: Trial showing potential of eight isolates of P. italicum to cause postharvest
decay in mandarin fruits. Where: A= Lhr Isolate; B = Fsd Isolate; C = Sdg
Isolate; D = Mul Isolate; E = Chn Isolate; F = Shw Isolate; G = Jhg Isolate; H
= Bhk Isolate.
B C
E
A
D F
G H
51
3.2. ANTIFUNGAL ACTIVITY OF ESSENTIAL OILS
The study was designed to investigate a plant based shelf life enhancer against
fungal deterioration in citrus during storage. In early In Vitro antifungal assays, potential
of essential oils from ten different sources were checked against Penicillium italicum the
causal agent of blue mold in citrus. All the selected essential oils showed variable
capacities of restricting fungal growth. However, the dosage effect was found
pronounced in every case. Dilution and volatile methods used for In Vitro studies showed
insignificant variation in their toxicity effects in most of the selected essential oils.
Similar trend was observed when selected essential oils were checked for their In Vivo
antifungal activities.
3.2.1. AZADIRACHTA INDICA L. (Neem)
3.2.1.1. In Vitro Antifungal Efficacy
The In Vitro antifungal activity of essential oil extracted from leaves of
Azadirachta indica L. found to be varied in both dilution and volatile assays. In dilution
assay the selected essential oil failed to produce any significant reduction in biomass
production of tested fungi. However, volatile assay showed that essential oil of A. indica
have a capacity to inhibit growth of P. italicum. The essential oil in concentration of 3
and 6μL mL-1
produced insignificant reduction in fungal biomass. However, this
antifungal activity increased with increase in concentration and highest tested
concentration of 48μL mL-1
resulted in 37.6% growth inhibition (Fig. 3.4).
3.2.1.2. In Vivo Antifungal Efficacy
In Vivo studies showed significant antifungal potential of essential oil extracted
from A. indica against selected fungi. Dosage effect was also found obvious thus
supporting results of In Vitro volatile assay. Lowest tested concentration of 3μL mL-1
produced 44.6% inhibition in colony growth that increased to 89.8% in samples treated
with essential oil in concentration of 24μL mL-1
. Whereas, the highest tested
concentration of 48μL mL-1
resulted in 94.3% highly significant inhibition of fungal
52
growth. All tested concentrations delayed fungal growth to 3rd
day of inoculation (Fig.
3.5).
3.2.1.3. Chemical Composition
The GC-MS and GC-FID analysis of essential oil of A. indica showed the
presence of ten different compounds (Table 3.6), which represented 88.27% of the total
oil. This volatile oil contained oleic acid with relative percentage of 38.5% followed by
palmitic acid (21.45%), caryoplyllene (9.7%), limonene (7%), linalool (4.3%) and citral
(4%) as major components. Besides, this oil also had significant amount of minor
components (Fig 3.6).
53
Fig. 3.4: In Vitro antifungal activity of A. indica essential oil, used at various
concentrations on mycelial growth of P. italicum. (A) Dilution assay (B)
Volatile assay. Values are mean of three replicates analyzed individually.
Vertical bars show standard error of means of three replicates. Values with
different alphabetic letters indicate significant differences (P=0.05) as
determined by Duncan’s Multiple Range (DMR) test.
Fig. 3.5: In Vivo antifungal activity of A. indica essential oil, used in various
concentrations, on mycelial growth of P. italicum. Values are mean of three
replicates analyzed individually.
0
1
2
3
4
5
6
7
8
0 3 6 12 24 48
Co
lon
y d
iam
eter
(cm
)
Conc. of essential oils (µL mL-1)
A
a a a a a a
0
1
2
3
4
5
6
7
0 3 6 12 24 48
Co
lon
y d
iam
eter
(cm
)
Conc. of essential oils (µL mL-1)
B
a ab
abc bcd
cd d
-1
0
1
2
3
4
5
6
7
0 2 4 6 8 10 12 14 16
Colo
ny D
iam
eter
of
P.
itali
cum
(cm
)
Incubation Time (Day)
Control
Conc. 3µL/mL
Conc. 6µL/mL
Conc. 12µL/mL
Conc. 24µL/mL
Conc. 48µL/mL
54
Fig. 3.6: GC-MS chromatogram of essential oil extracted from leaves of A. indica.
S Oleic acid
Limonene
Palmitic acid
Citral
55
Table 3.6: Chemical Composition of Essential Oil Extracted from A. indica.
Components RI
%
Composition
β-pinene 943 0.70 ± 0.1f
Limonene 1018 6.9 ± 0.05d
Linalool 1082 4.3 ± 0.12e
Terpinene-4-ol 1137 1.02± 0.01f
Citral 1174 4 ± 0.49e
Caryophyllene 1494 9.7 ± 0.18c
Acetyl eugenol 1552 t
Palmitic acid 1968 21.45 ± 0.28b
Stearic acid 2167 1.5 ± 0.00f
Oleic acid 2175 38.5 ± 0.86a
TOTAL
88.07
Values are the mean of three replicates analyzed individually. Different alphabetic letters
in superscript indicate significant differences (P=0.05) as determined by Duncan’s
Multiple Range (DMR) test.
t = trace element, less than 0.05%.
Compounds listed in order of increasing RI value from a HP-5MS column.
Retention indices relative to C9-C24 n-alkanes on the HP-5MS column.
Mode of Identification is RT,RI and MS where;
RT = Identification based on retention time.
RI = Identification based on retention index.
MS = Identification based on comparison of mass spectra.
56
3.2.1.4. In Vitro Antifungal Efficacy of Major Components of
A. indica Essential Oil
Top five major components identified in tested essential oil of A. indica were
checked against P. italicum in concentrations 50, 100 and 200µL L-1
. The inhibitory
effect of all these compounds was found dosage dependent. Limonene found to be the
most active component of this essential oil as its highest tested concentration resulted in
96.55% growth reduction in terms of colony diameter in tested fungi. This was followed
by caryophyllene that restricted fungal growth by 87.36% at 200µL L-1
. After this,
linalool and citral were found equally significant with a percentage of inhibition around
74% at maximum tested concentration. However, at lower concentrations linalool
regulated fungal growth better than citral. Least antifungal activity was shown by
palmitic acid that resulted in 68.1% growth reduction at its highest tested concentration
that was found close to the lowest tested concentration of limonene (Fig. 3.7).
Fig. 3.7: Mycelial growth of P. italicum measured after 7 days of incubation on MEA
medium, treated with different concentrations of major components of A. indica
essential oil. Values are mean of three replicates analyzed individually. Vertical
bars show standard error of means of three replicates. Values with different
alphabetic letters indicate significant differences (P=0.05) as determined by
Duncan’s Multiple Range (DMR) test.
0
20
40
60
80
100
120
Per
cen
tage o
f in
hib
itio
n (
%)
50µL/L 100µL/L 200µL/L
gh
a
c d
c
g
h
b
d e
d
f
g
c
f
57
3.2.2.CINNAMOMUM ZYLANICUM J. (Cinnamon)
3.2.2.1. In Vitro Antifungal Efficacy
Cinnamomum zylanicum J. bark essential oil failed to inhibit tested fungi
significantly. The efficacy varied when tested through dilution and volatile methods.
Volatile method restricted fungal growth more effectively as compared to the dilution
method. Lowest tested concentration of 3μL mL-1
resulted in a reduction of 20.49% in
fungal growth when tested through volatile assay. However, the same concentration
proved inefficient when checked through dilution method. Insignificant reduction in
fungal growth was recorded in dilution method when concentration increased to 6, 12 and
24μL mL-1
. Highest tested concentration of 48μL mL-1
resulted in 32.43% fungal growth
reduction in dilution assay. In case of volatile assay the higher concentrations of 6 to
48μL mL-1
proved equally significant in controlling the tested fungi. The Highest tested
concentration of 48μL mL-1
caused 11.74% more reduction in fungal growth when
checked through volatile assay in comparison to the dilution method (Fig. 3.8).
3.2.2.2. In Vivo Antifungal Efficacy
The data obtained from In Vivo antifungal assay shows that C. zylanicum bark
essential oil delayed fungal growth till third day of inoculation in comparison to the
control in which fungal growth appeared at second day of inoculation. No significant
difference (P=0.05) was recorded among the efficacy of various tested concentrations of
selected essential oil. After 15th
day of inoculation selected essential oil concentrations
caused a reduction in fungal growth that was between 83-90% (Fig. 3.9).
3.2.2.3. Chemical Composition
Table 3.7 shows the individual quantities of essential oil components estimated
in the C. zylanicum essential oil. Seventeen components were identified in examined oil
that constituted 95.34% of the oil. It contained cinnamaldehyde (41.47%) as the main
component, followed by the eugenol (21.5%) isoeugenol (11.2%) caryophyllene (5.1%)
and β-pinene (2.1%).
58
Fig. 3.8: In Vitro antifungal activity of C. zylanicum essential oil, used at various
concentrations on mycelial growth of P. italicum. (A) Dilution assay (B)
Volatile assay. Values are mean of three replicates analyzed individually.
Vertical bars show standard error of means of three replicates. Values with
different alphabetic letters indicate significant differences (P=0.05) as
determined by Duncan’s Multiple Range (DMR) test.
Fig. 3.9: In Vivo antifungal activity of C. zylanicum essential oil, used in various
concentrations, on mycelial growth of P. italicum. Values are mean of three
replicates analyzed individually.
0
1
2
3
4
5
6
7
8
0 3 6 12 24 48
Co
lon
y d
iam
eter
(cm
)
Conc. of essential oil (µL mL-1)
A
ab
a a a a a
0
1
2
3
4
5
6
7
0 3 6 12 24 48
Co
lon
y d
iam
eter
(cm
)
Conc. of essentail oil (µL mL-1)
B
a
ab
b b b b
-1
0
1
2
3
4
5
6
7
0 2 4 6 8 10 12 14 16
Colo
ny D
iam
eter
of
P. It
ali
cum
(cm
)
Incubation Time (Day)
Control
Conc. 3µL/mL
Conc. 6µL/mL
Conc. 12µL/mL
Conc. 24µL/mL
Conc. 48µL/mL
59
Fig. 3.10: GC-MS chromatogram of essential oil extracted from bark of C. zylanicum.
Cinnamaldehyde
Eugenol
Iso eugenol
Caryophyllene
60
Table 3.7: Chemical Composition of Essential Oil Extracted from C. zylanicum.
Components RI
%
Composition
β-Pinene 943 2.1 ± 0.2f
ɣ-Terpinene 998 0.93 ± 0.03h
Limonene 1018 1.2 ± 0.17gh
p-Cymene 1042 1.5 ± 0.1f-h
Cinnamaldehyde 1136 41.7 ± 0.31a
Terpinen-4-ol 1137 1.4 ± 0.03gh
1,3-Cyclohexadien-1-menthanol,4-
(1-Methyletthyl 1240 t
Carvacrol 1267 1.14 ± 0.02gh
Eugenol 1392 21.5 ± 0.0b
1,8-Cineole 1398 3.1 ± 0.0e
Isoeugenol 1410 11.2 ± 0.05c
2-Aminotridecane 1492 t
Caryophyllene 1494 5.1 ± 0.05d
Aceteugenol 1552 1.3 ± 0.0gh
α-Humulene 1579 1.5 ± 0.16f-h
Palmitic acid 1968 1.7 ± 0.11fg
Stearic acid 2167 t
95.34
Values are the mean of three replicates analyzed individually. Different alphabetic letters
in superscript indicate significant differences (P=0.05) as determined by Duncan’s
Multiple Range (DMR) test.
t= trace, less than 0.05%.
Compounds listed in order of increasing RI value from a HP-5MS column.
Retention indices relative to C9-C24 n-alkanes on the HP-5MS column.
Mode of Identification is RT,RI and MS where;
RT = Identification based on retention time.
RI = Identification based on retention index.
MS = Identification based on comparison of mass spectra.
61
3.2.2.4. In Vitro Antifungal Efficacy of Major Components of
C. zylanicum Essential Oil
First five prime components identified in essential oil of Cinnamomum
zylanicum J. showed strong antifungal activity against selected fungi when tested
individually. Eugenol was found most significant in reducing the colony diameter of P.
italicum as its highest tested concentration completely restricted its growth. This was
followed by caryophyllene that resulted in a reduction of 87.36% at 200µL L-1
.
Statistically this activity was found in accordance with that of 100µL L-1
of eugenol. Rest
of the three compounds i.e., cinnamaldehyde, isoeugenol and β-pinene showed
insignificant difference (P=0.05) among their antifungal activity at 200µL L-1
. Lower
concentrations however showed slight differences among their antifungal potential (Fig.
3.11).
Fig. 3.11: Mycelial growth of P. italicum measured after 7 days of incubation on MEA
medium, treated with different concentrations of major components of C.
zylanicum essential oil. Values are mean of three replicates analyzed
individually. Vertical bars show standard error of means of three replicates.
Values with different alphabetic letters indicate significant differences
(P=0.05) as determined by Duncan’s Multiple Range (DMR) test.
0
20
40
60
80
100
120
Per
cen
tage
of
inh
ibit
ion
(%
)
50µL/L 100µL/L 200µL/L
c
f
h
ef g
a
b
c c
e
g
b
d c C
62
3.2.3. CUMINUM CYMINUM L. (Cumin)
3.2.3.1. In Vitro Antifungal Efficacy
Essential oils extracted from Cuminum cyminum L. seeds depicted highly
significant In Vitro antifungal activity against P. italicum. However, the results obtained
in dilution and volatile assays varied in lower concentrations of 3 and 6μL mL-1
. On these
concentrations dilution assay showed highly significant reduction of 96 and 98.5% in
fungal growth. Whereas, above mentioned same concentrations could only produce 32
and 68.9% growth inhibition. Further increase in essential oil concentration highly
significantly controlled fungal growth in both assays. No growth was recorded in dilution
assay while traces of fungal mycelium were recorded in volatile assay (Fig. 3.12).
3.2.3.2. In Vivo Antifungal Efficacy
In Vivo assays illustrated a highly significant antifungal potential of C. cyminum
essential oil. All tested concentrations restricted growth till 5th day of inoculation. A
highly significant reduction of 88 – 91% was recorded in samples treated with
concentrations between 3 - 24μL mL-1
. The highest tested concentration of 48μL mL-1
restricted growth of selected fungi completely (Fig. 3.13).
3.2.3.3. Chemical Composition
The chemical composition of C. cyminum essential oil was obtained from GC-FID
and GC-MS analysis and is computed in Table 3.8. Thirty three compounds were
originated in essential oil of C. cyminum accounting for 98.61% of the total amount. As
the table 3.8 revealed that C. cyminum oil contained cuminaldehyde (36.4%), carvacrol
(24.46%), terpinen-4-ol (11.5%), citronellal (5.43%), gamma-terpinene (4.1%), cumic
acid (2.9), 4-carvomenthenol (2.12%) and thymol (0.13%) as the major components. In
addition, the tested cumin essential oil showed a substantial amount of numerous minor
constituents (Fig. 3.14).
63
Fig. 3.12: In Vitro antifungal activity of C. cyminum essential oil, used at various
concentrations on mycelial growth of P. italicum. (A) Dilution assay (B)
Volatile assay. Values are mean of three replicates analyzed individually.
Vertical bars show standard error of means of three replicates. Values with
different alphabetic letters indicate significant differences (P=0.05) as
determined by Duncan’s Multiple Range (DMR) test.
Fig. 3.13: In Vivo antifungal activity of C. cyminum essential oil, used in various
concentrations, on mycelial growth of P. italicum. Values are mean of three
replicates analyzed individually.
0
1
2
3
4
5
6
7
8
0 3 6 12 24 48
Co
lon
y d
iam
eter
(cm
)
Conc. of essential oil (µL mL-1)
A a
b b b b b 0
1
2
3
4
5
6
7
0 3 6 12 24 48
Co
lon
y d
iam
eter
(cm
)
Conc. of essentia oil (µL mL-1)
B
c c c
bc
ab
a
-1
0
1
2
3
4
5
6
7
0 2 4 6 8 10 12 14 16
Colo
ny D
iam
eter
of
P. It
ali
cum
(cm
)
Incubation Time (Day)
Control
Conc. 3µL/mL
Conc. 6µL/mL
Conc. 12µL/mL
Conc. 24µL/mL
Conc. 48µL/mL
64
Fig. 3.14: GC-MS chromatogram of essential oil extracted from seeds of C. cyminium.
Cumin aldehyde ɣ-terpinene Carvacrol
Citronellal Terpinene-4-ol
65
Table 3.8: Chemical Composition of Essential Oil Extracted from C. cyminum.
Components RI
%
Composition
β-Pinene 943 1.2 ± 0.005g-j
ɣ-Terpinene 998 4.13 ± 0.09e
Limonene 1018 0.1 ± 0.00j
p-Cymene 1042 0.09 ± 0.002j
Butyl-1-cyclohexene 1089 0.4 ± 0.006ij
2,6-Dimethyl-3,5,7-octatriene-2-ol,E,E- 1090 t
Ethanone, 1-(6-methyl-7-
oxabicyclo[4.1.0]hept-1-yl)- 1113 t
Silane, (4-ethylphenyl) trimethyl 1115 t
Citronellal 1125 5.43 ± 0.3d
Terpinen-4-ol 1137 11.5 ± 0.17c
Australol 1149 1.1 ± 0.00g-j
Cyclopentanepropanol, 2-methylene- 1159 t
Cuminaldehyde 1169 36.4 ± 0.52a
Estragol 1172 1.41 ± 0.00g-i
Phellandral 1175 0.05 ± 0.06j
4- Isopropyl-5-methyl-hexa-2,4-dienoic
acid, methyl ester 1188 t
4-Carvomenthenol 1189 2.12 ± 0.15fg
2-Caren-10-al 1230 1.43 ± 0.008g-i
1,3-Cyclohexadien-1-menthanol,4-(1-
methyletthyl 1240 0.7 ± 0.00h-j
Thymol 1262 0.13 ± 0.003j
Carvacrol 1267 24.46 ± 0.33b
7-Hydroxy-2-methyl-octa-3,5-dienoic
acid, methyl ester 1297 t
Bicyc[3.1.0]hexane-6-menthanol, 2- 1322 t
66
Values are the mean of three replicates analyzed individually. Different alphabetic letters
in superscript indicate significant differences (P=0.05) as determined by Duncan’s
Multiple Range (DMR) test.
Compounds listed in order of increasing RI value from a HP-5MS column.
Retention indices relative to C9-C24 n-alkanes on the HP-5MS column.
t = trace element, less than 0.05%.
Mode of Identification is RT,RI and MS where;
RT = Identification based on retention time.
RI = Identification based on retention index.
MS = Identification based on comparison of mass spectra.
hydroxy-1,4,4-trimethyl-
β-Terpinyl acetate 1348 0.5 ± 0.005ij
Propane,1,2,3-trimethoxy-1-phenyl 1390 t
Isoeugenol 1410 0.3 ± 0.00ij
α-Amorphene 1440 1.76 ± 0.04gh
Acordiene 1474 0.7 ± 0.05h-j
9-Undecenol, 2,10- dimethyl- 1477 0.13 ± 0.03j
Caryophyllene 1494 0.1 ± 0.00j
4-Isopropylphenylacetic acid 1497 1.03 ± 0.08g-j
4-(1,5-Dihydroxy-2,6,6-
Trimethylcyclohex-2-enyl)but-3-en-2-one 1767 0.14 ± 0.01j
Cumic acid 2011 2.9 ± 0.38f
98.61
67
3.2.3.4. In Vitro Antifungal Efficacy of Major Components of
C. cyminium Essential Oil
All the seven major components of Cuminum cyminum L. significantly
inhibited tested fungi when checked individually. Data analyses proved thymol was the
most effective antifungal component of this essential oil as its lowest tested concentration
resulted in the highest inhibition of 93.10% in fungal growth. Further increase in
concentration completely inhibited fungal growth (Fig. 3.15). After this the highest tested
concentration of citronellal, cuminaldehyde and terpinen-4-ol also totally restricted
fungal growth. However, the lower concentrations of these components showed slight
variation among their antifungal activity. Following this, γ-terpinene resulted in 94.25%
reduction in colony diameter when compared to the control. Carvacrol and β-pinene were
the last two components with a percentage of reduction of 83.33 and 69.55% in tested
fungi when exposed to their maximum concentration (Fig. 3.15).
Fig. 3.15: Mycelial growth of P. italicum measured after 7 days of incubation on
MEA medium, treated with different concentrations of major components of C.
cyminium essential oil. Values are mean of three replicates analyzed individually.
Vertical bars show standard error of means of three replicates. Values with
different alphabetic letters indicate significant differences (P=0.05) as determined
by Duncan’s Multiple Range (DMR) test.
0
20
40
60
80
100
120
Per
cen
tage
of
inh
ibit
ion
(%
)
50µL/L 100µL/L 200µL/L
a a b
g bc
de
b
cde
f
a b
de
a
e
bcd
e
f
b
de
f f
68
3.2.4. CYMBOPOGON CITRATUS S. (Lemon Grass)
3.2.4.1. In Vitro Antifungal Efficacy
Cymbopogon citratus S. essential oil was also found effective in controlling
growth of selected fungi in artificial media. Both dilution and volatile assays showed
equally effective antifungal activity. Concentration effect was also found slightly
significant. Lowest tested concentration of 3μL mL-1
caused a reduction of 70-71% in
both assays. This reduction in biomass increased to 94.5% in dilution assay and 97.1% in
volatile assay at 24μL mL-1
. The highest tested concentration of 48μL mL-1
reduced
growth of P. italicum up to 97% in dilution assay whereas negligible growth was
recorded in volatile assay on this concentration (Fig. 3.16).
3.2.4.2. In Vivo Antifungal Efficacy
Essential oils extracted from C. citratus significantly controlled In Vivo growth
of P. italicum. Increase in antifungal activity with increase in essential oil concentration
was not found very significant. Concentrations of 3, 6 and 12μL mL-1
showed almost
equally significant reduction in colony growth of P. italicum that was around 90%, and
the growth started after 4th
to 5th
day of inoculation. Essential oil in 24μL mL-1
restricted
fungal growth initiation till 8th
day of inoculation and the percentage of colony growth
suppression was recorded 93%. Highest tested concentration of 48μL mL-1
completely
inhibited fungal growth as can be seen in Fig. 3.17.
3.2.4.3. Chemical Composition
Chemical composition of C. citratus essential oil was analyzed by GC-MS
and GC-FID and is given in Table 3.9 with their percentages (Fig. 3.18). A total of twelve
compounds were identified in the oil, making up to 97.91% of the extracted oil. As seen
in Table 3.9, the major compound in the C. citratus oil was citral (46.64%). This was
followed by neral (29.73%), geraniol (7.64%), limonene (5.54%), caryophyllene (4.2%)
and geranil acetate (3.4%). Few minor compounds also existed in small quantities.
69
Fig. 3.16: In Vitro antifungal activity of C. citratus essential oil, used at various
concentrations on mycelial growth of P. italicum. (A) Dilution assay (B)
Volatile assay. Values are mean of three replicates analyzed individually.
Vertical bars show standard error of means of three replicates. Values with
different alphabetic letters indicate significant differences (P=0.05) as
determined by Duncan’s Multiple Range (DMR) test.
Fig. 3.17: In Vivo antifungal activity of C. citratus essential oil, used in various
concentrations, on mycelial growth of P. italicum. Values are mean of three
replicates analyzed individually.
0
1
2
3
4
5
6
7
8
0 3 6 12 24 48
Co
lon
y d
iam
eter
(cm
)
Conc. of essential oil (µL mL-1)
A
a
b bc
bc c c
0
1
2
3
4
5
6
7
0 3 6 12 24 48
Co
lon
y d
iam
eter
(cm
)
Conc. of essential oil (µL mL-1)
B
a
b bc
cd d d
-1
0
1
2
3
4
5
6
7
0 2 4 6 8 10 12 14 16
Colo
ny D
iam
eter
of
P. It
ali
cum
(cm
)
Incubation Time (Day)
Control
Conc. 3µL/mL
Conc. 6µL/mL
Conc. 12µL/mL
Conc. 24µL/mL
Conc. 48µL/mL
70
Fig. 3.18: GC-MS chromatogram of essential oil extracted from leaves of C. citratus.
Neral
Geranil acetate
Citral
Limonene
71
Table 3.9: Chemical Composition of Essential oil Extracted from C. citratus.
Components RI
%
Composition
β-Myrcene 958 1.75 ± 0.14g
ɣ.-terpinene 998 t
Limonene 1018 5.54 ± 0.26d
Linalool 1082 1.5 ± 0.05gh
citronellal 1125 0.45 ± 0.02i
Neral 1174 29.73 ± 0.01b
Citral 1174 46.6 ± 0.00a
Geraniol 1228 7.64± 0.2c
Geraniol formate 1349 1.1 ± 0.05h
Geranil acetate 1352 3.4 ± 0.03f
Caryophyllene 1494 4.2 ± 0.1e
α-Cadinol 1580 t
TOTAL
97.91
Values are the mean of three replicates analyzed individually. Different alphabetic letters
in superscript indicate significant differences (P=0.05) as determined by Duncan’s
Multiple Range (DMR) test.
t = trace element, less than 0.05%.
Compounds listed in order of increasing RI value from a HP-5MS column.
Retention indices relative to C9-C24 n-alkanes on the HP-5MS column.
Mode of Identification is RT,RI and MS where;
RT = Identification based on retention time.
RI = Identification based on retention index.
MS = Identification based on comparison of mass spectra.
72
3.2.4.4. In Vitro Antifungal Efficacy of Major Components of
C. citratus Essential Oil
Four major components identified in Cymbopogon citratus S.were checked
individually against P. italicum. Highest antifungal activity was recorded in neral and
limonene. Their highest tested concentration restricted the mycelial growth of P. italicum
up to 97%. All the three tested concentrations of these two components showed
insignificant differences among their antifungal potential. Caryophyllene followed this
with a reduction of 87.36% when checked in a concentration of 200µL L-1
. Least activity
was recorded in citral that in its lowest tested concentration could only cause a reduction
of 31.03% in tested fungi. This inhibition percentage increased with increase in
concentration and highest tested concentration showed a reduction of 73.57% in colony
growth (Fig. 3.19).
Fig. 3.19: Mycelial growth of P. italicum measured after 7 days of incubation on MEA
medium, treated with different concentrations of major components of C.
citratus essential oil. Values are mean of three replicates analyzed
individually. Vertical bars show standard error of means of three replicates.
Values with different alphabetic letters indicate significant differences
(P=0.05) as determined by Duncan’s Multiple Range (DMR) test.
0
20
40
60
80
100
120
Per
cen
tage
of
inh
ibit
ion
(%
) 50µL/L 100µL/L 200µL/L
e d
b
g f
c
d
c
a
d
c
a
73
3.2.5. EUCALYPTUS GLOBULUS L. (Eucalyptus)
3.2.5.1. In Vitro Antifungal Efficacy
Essential oils extracted from Eucalyptus globulus L. leaves also significantly
inhibited selected fungi in In Vitro assays. Volatile assay showed a little higher inhibition
of fungal growth when compared to the dilution assay. However, in both assays the
increase in fungal inhibition with increase in essential oil concentration was not highly
significant (Fig. 3.20). In dilution assay lowest tested concentration of 3μL mL-1
reduced
fungal growth up to 56% that increased to 77% when essential oil was checked in a
concentration of 48μL mL-1
. In contrast, Volatile assay has reduced the Penicillium
italicum growth up to 58 and 87% at concentrations of 3 and 48μL mL-1
respectively.
3.2.5.2. In Vivo Antifungal Efficacy
Results obtained from In Vivo antifungal assays also followed similar trend as
was recorded in In Vitro experiments. In comparison to the control, fungal growth started
two days later on fruits treated with E. globulus essential oil in its lowest tested
concentration of 3μL mL-1
. The fungal growth inhibition was 80.79% that increased to
88.71% when concentration was made double. Further increase in tested oil concentration
restricted the fungal growth till 6th day after inoculation however it failed to increase the
percentage of inhibition significantly (Fig. 3.21).
3.2.5.3. Chemical Composition
The results of GC-MS and GC-FID analysis are reported in Table 3.10
revealing qualitative and quantitative analysis of E. globulus essential oil. As seen in
table, thirty nine various components were obtained amounting 97.07% of the total of the
extracted oil. E. globulus essential oil was found to be rich in eucalyptol (15.12%), E-
citral (12.16%), terpinene-4-ol, (11.5%), p-cymene (8.04%), isopulegol (5.3%),
phellandral (4.8%), globulol (4.6%), (-)-spathulenol (4.01%), linalool (3.94%), carvacrol
74
Fig. 3.20: In Vitro antifungal activity of E. globulus essential oil, used at various
concentrations on mycelial growth of P. italicum. (A) Dilution assay (B)
Volatile assay. Values are mean of three replicates analyzed individually.
Vertical bars show standard error of means of three replicates. Values with
different alphabetic letters indicate significant differences (P=0.05) as
determined by Duncan’s Multiple Range (DMR) test.
Fig. 3.21: In Vivo antifungal activity of E. globulus essential oil, used in various
concentrations, on mycelial growth of P. italicum. Values are mean of three
replicates analyzed individually.
0
1
2
3
4
5
6
7
8
0 3 6 12 24 48
Co
lon
y d
iam
eter
(cm
)
Conc. of essential oil (µL mL-1)
A a
b bc
bc bc c
0
1
2
3
4
5
6
7
0 3 6 12 24 48
Co
lon
y d
iam
eter
(cm
)
Conc. of essential oil (µL mL-1)
B
a
b bc
bcd cd
d
-1
0
1
2
3
4
5
6
7
0 2 4 6 8 10 12 14 16Colo
ny D
iam
eter
of
P. It
ali
cum
(cm
)
Incubation Time (Day)
Control
Conc. 3µL/mL
Conc. 6µL/mL
Conc. 12µL/mL
Conc. 24µL/mL
Conc. 48µL/mL
75
Fig. 3.22: GC-MS chromatogram of essential oil extracted from leaves of E. golobulus.
ɣ-terpinene
Linalool
Isopulegol
α-Gurjunene
Eucalyptol
Epiglobulol
Globulol
E-citral
76
Table 3.10: Chemical Composition of Essential Oil Extracted from E. globulus.
Components RI
%
Composition
α-Thujene 927 1.17 ± 0.19i-k
2,6-Octadiene,2,6-dimethyl- 985 t
ɣ- Terpinene 998 1.6 ± 0.05i
Limonene 1018 2.41 ± 0.05h
Eucalyptol 10.33 15.12 ± 0.03a
p-Cymene 1042 8.04 ± 0.01c
Terpinolen 1052 1.26 ± 0.00i-k
Linalool 1082 3.94 ± 0.05ef
4(10)-Thujen-3-ol 1085 1.08 ± 0.1i-l
Citronellal 1125 0.1 ± 0.00m
cis-p-Menth-2-en-1-ol 1126 t
Terpinene-4-ol 1137 11.5 ± 0.28b
р-Menth-1-en-8-ol 1143 t
Piperitone 1158 1.09 ± 0.17i-l
Estragol 1172 1.29 ± 0.11i-k
Phellandral 1175 4.8 ± 0.17d
Cephrol 1179 0.17 ± 0.01m
Isopulegol 1196 5.3 ± 0.17d
trans -Geraniol 1247 3.04 ± 0.01gh
Carvacrol 1262 3.4 ± 0.05fg
E-Citral 1267 12.16 ± 0.07b
2,3-Pinanediol 1276 1.27 ± 0.01i-k
Isoaromadendrene epoxide 1281 0.7 ± 0.05k-m
p-Cymene-8-ol 1284 2.9 ± 0.15gh
Lendene oxide-(III) 1293 0.1 ± 0.00m
Aromadendrene 1386 1.6 ± 0.08i
α-Gurjunene 1419 0.2 ± 0.03m
77
ɣ-Elemene 1431 t
&-Cadinene 1469 0.3 ± 0.14lm
Eremophilene 1474 0.1 ± 0.05m
B-Vatirenene 1489 0.3 ± 0.14lm
Caryophyllene 1494 0.76 ± 0.04j-m
Caryophyllene oxide 1507 t
Viridiflorol 1530 1.6 ± 0.03ij
Epiglobulol 1530 1.04 ± 0.02i-l
Globulol 1530 4.6 ± 0.12de
(-)-Spathulenol 1536 4.01 ± 0.01ef
Longipinocarvone 1569 t
α-Cadinol 1580 0.12± 0.01m
97.07
Values are the mean of three replicates analyzed individually. Different alphabetic letters
in superscript indicate significant differences (P=0.05) as determined by Duncan’s
Multiple Range (DMR) test.
Compounds listed in order of increasing RI value from a HP-5MS column.
Retention indices relative to C9-C24 n-alkanes on the HP-5MS column.
t = trace element, less than 0.05%.
Mode of Identification is RT,RI and MS where;
RT = Identification based on retention time.
RI = Identification based on retention index.
MS = Identification based on comparison of mass spectra
78
(3.4%), trans-geraniol (3.04%), P-cymene-8-ol (2.9%) and limonene (2.4%).
Furthermore, numerous minor components of this oil have also been characterized (Fig.
3.22).
3.2.5.4. In Vitro Antifungal Efficacy of Major Components of
E. globulus Essential Oil
Six major identified components in essential oil of Eucalyptus globulus L.
were tested independently against selected fungi. Terpinene-4-ol stood as the most
effective antifungal component of this essential oil as its highest tested concentration did
not allowed any growth in the media. Following this p-cymene resulted in 90.23%
growth reduction. Lowest tested concentration of the rest of the four components viz.,
carvacrol, citral, eucalyptol and linalool showed insignificant variation among their
antifungal activities. However, at highest tested concentration carvacrol and eucalyptol
was found equally efficient in controlling the fungi followed by citral and linalool with
significantly similar antifungal potentials (Fig. 3.23).
Fig. 3.23: Mycelial growth of P. italicum measured after 7 days of incubation on MEA
medium, treated with different concentrations of major components of E. globulus
essential oil. Values are mean of three replicates analyzed individually. Vertical bars
show standard error of means of three replicates. Values with different alphabetic letters
indicate significant differences (P=0.05) as determined by Duncan’s Multiple Range
(DMR) test.
0
20
40
60
80
100
120
Per
cen
tage
of
inh
ibit
ion
(%
)
50µL/L 100µL/L 200µL/L
a b
e
b
f
h
de
g
i
c
g
hi
cd
hi j
c
f
hi
79
3.2.6. EUGENIA CARYOPHYLLATA T. (Clove)
3.2.6.1. In Vitro Antifungal Efficacy
Essential oil of E. caryophyllata T. buds inhibited selected fungi highly
significantly. Insignificant variation was recorded in results of dilution and volatile
method. In dilution method the lowest tested concentration of 3μL mL-1
caused 84%
reduction in fungal growth when compared to the control. Increase in concentration
resulted in insignificant increment of antifungal proficiency and 24μL mL-1
restricted
fungal growth up to 99% (Fig. 3.24).
In case of volatile assay, lowest tested concentration reduced fungal growth up to 97%
that was 13% higher than recorded in dilution assay with same essential oil concentration.
Higher concentrations of 6-24μL mL-1
were also found equally effective as that of lowest
tested concentration.
The highest tested concentration of 48μL mL-1
completely inhibited P. italicum in both
volatile and dilution assays (Fig. 3.24).
3.2.6.2. In Vivo Antifungal Efficacy
In Vivo studies also supported significant antifungal proficiency of E.
caryophyllata bud essential oil. Selected essential oil in its lowest concentration caused
62.7% growth restriction in selected fungi. This percentage increased with increase in
concentration and 6 and 12μL mL-1
showed 79.6 and 93.2% fungal inhibition
respectively. In control the fungal growth started at 2nd
day after inoculation, whereas
essential oil treatment significantly delayed fungal growth. Fungal growth initiated after
4th
, 7th
and 10th
day of inoculation when fruits were treated with E. caryophyllata
essential oil in 3, 6 and 12μL mL-1
. Highest tested concentrations of 24 and 48μL mL-1
restricted initiation of fungal growth till 15th
day of inoculation (Fig. 3.25).
80
3.2.6.3. Chemical Composition
The chemical composition data of the E. caryophyllata essential oil is listed in
Table 3.11. Twenty one components of E. caryophyllata essential oil were identified by
GC-MS analysis accounting 97.33% of the oil. The results showed the presence of
eugenol (62.47%), acetyleugenol (12.9%), caryophyllene (10.02%) and Iso-eugenol
(1.92%) as its major components. Besides, the E. caryophyllata essential oil also
contained considerable amount of various minor components (Fig. 3.26).
81
Fig. 3.24: In Vitro antifungal activity of E. caryophyllata essential oil, used at various
concentrations on mycelial growth of P. italicum. (A) Dilution assay (B)
Volatile assay. Values are mean of three replicates analyzed individually.
Vertical bars show standard error of means of three replicates. Values with
different alphabetic letters indicate significant differences (P=0.05) as
determined by Duncan’s Multiple Range (DMR) test.
Fig. 3.25: In Vivo antifungal activity of E. caryophyllata essential oil, used in various
concentrations, on mycelial growth of P. italicum. Values are mean of three
replicates analyzed individually.
-1
0
1
2
3
4
5
6
7
8
0 3 6 12 24 48
Co
lon
y d
iam
eter
(cm
)
Conc. of essential oil (µL mL-1)
A a
b b b b b
0
1
2
3
4
5
6
7
0 3 6 12 24 48
Co
lon
y d
iam
eter
(cm
)
Conc. of essential oil (µL mL-1)
B a
b b b b b
-1
0
1
2
3
4
5
6
7
0 2 4 6 8 10 12 14 16
Colo
ny D
iam
eter
of
P.
Itali
cum
(cm
)
Incubation Time (Day)
Control
Conc. 3µL/mL
Conc. 6µL/mL
Conc. 12µL/mL
Conc. 24µL/mL
Conc. 48µL/mL
82
Fig. 3.26: GC-MS chromatogram of essential oil extracted from buds of E. caryophyllata.
Iso-eugenol
Caryophyllene
Acetyl eugenol Eugenol
Eucalyptol
Cinnamaldehyde
83
Table 3.11: Chemical Composition of Essential Oil Extracted from E. caryophyllata.
Components RI % Composition
β- Terpinen 993 0.5 ± 0.01i
2- Nonanone 1053 t
Eucalyptol 1059 1.5 ± 0.0ef
4- Terpineol 1137 0.4 ± 0.005i-k
α-Terpinol 1143 0.3 ± 0.0i-l
Plastolin 1160 t
Cinnamaldehyde 1189 0.912 ± 0.05h
Anisole 1190 0.08 ± 0.0l
Chavicol 1203 0.09 ± 0.005l
Cuminaldehyde 1230 1.31± 0.02fg
Exagien 1281 0.15 ± 0.01kl
Shikimole 1327 0.17 ± 0.1j-l
Methyl Eugenol 1361 0.45 ± 0.05ij
Eugenol 1392 62.47 ± 0.3a
Isoeugenol 1410 1.92 ± 0.3d
α- Amorphene 1440 1.76 ± 0.01de
Caryophyllene 1494 10.02 ± 0.0c
Epoxycaryophyllene 1507 t
Acetlyeugenol 1552 12.909 ± 0.10b
Humulene 1579 1.3 ± 0.13fg
Caryophyllenyl alcohol 1677 1.07 ± 0.0gh
Total 97.331
Values are the mean of three replicates analyzed individually. Different alphabetic letters
in superscript indicate significant differences (P=0.05) as determined by Duncan’s
Multiple Range (DMR) test.
t= trace, less than 0.05%.
Compounds listed in order of increasing RI value from a HP-5MS column.
Retention indices relative to C9-C24 n-alkanes on the HP-5MS column.
Mode of Identification is RT,RI and MS where;
RT = Identification based on retention time.
RI = Identification based on retention index.
MS = Identification based on comparison of mass spectra.
84
3.2.6.4. In Vitro Antifungal Efficacy of Major Components of
E. caryophyllata Essential Oil
In case of Eugenia caryophyllata five top most components were checked individually
against selected fungi. Highest tested concentration of eugenol and cuminaldehyde
restricted any growth of tested fungi in selected media thus making them as the most
potent antifungal components. However, lower concentrations showed a little
discrepancy. Lowest tested concentration of 50µL L-1
caused a reduction of 78.74% in
fungal growth treated with cuminaldehyde and 68.96% in fungi exposed to eugenol (Fig.
3.27). Similarly when concentration of these essential oils was increased to 100µL L-1
cuminaldehyde showed slightly higher percentage of growth inhibition (94.26%) than
eugenol (82.19%). Caryophyllene and acetyl eugenol followed this and showed
significantly very close antifungal potential when checked in concentration of 100 and
200µL L-1
. Whereas, at lowest tested concentration of 50µL L-1
caryophyllene showed
significantly higher antifungal activity than was recorded against acetyl eugenol. Least
affectivity was depicted by isoeugenol (Fig. 3.27).
Fig. 3.27: Mycelial growth of P. italicum measured after 7 days of incubation on MEA
medium, treated with different concentrations of major components of E.
caryophyllata essential oil. Values are mean of three replicates analyzed
individually. Vertical bars show standard error of means of three replicates.
Values with different alphabetic letters indicate significant differences
(P=0.05) as determined by Duncan’s Multiple Range (DMR) test.
0
20
40
60
80
100
120
Per
cen
tage
of
inh
ibit
ion
(%
) 50µL/L 100µL/L 200µL/L
e
h i
a
d ef
a ab
e
cd
ef g
bc
fg
i
85
3.2.7. FOENICULUM VULGARE M. (Fennel)
3.2.7.1. In Vitro Antifungal Efficacy
Essential oil extracted from F. vulgare M. seeds restricted growth of tested
fungi on malt extract media highly significantly. Statistically both dilution and volatile
assays were found equally significant. Essential oil in its lowest tested concentration of
3μL mL-1
reduced fungal biomass to 98-99% in both assays. Further increase in oil
concentration completely inhibited growth of selected fungi, except that of 6μL mL-1
in
dilution assay that inhibited fungi to 99% (Fig. 3.28).
3.2.7.2. In Vivo Antifungal Efficacy
In Vivo analysis followed similar trend as was recorded in In Vitro
experiments. Lowest tested concentration of 3μL mL-1
and that of 6μL mL-1
restricted
fungal growth till 9th
and 11th
day of inoculation. At 15th
day of inoculation above
mentioned concentrations showed a reduction of 93.2 - 96.6% respectively in growth of
tested fungi. Further increase in essential oil concentration did not allowed any growth of
fungi till 15th
day of inoculation (Fig. 3.29).
3.2.7.3. Chemical Composition
A detailed chemical composition of tested F. vulgare essential oil characterized
by GC-MS and GC-FID is listed in Table 3.12. A total of 21 components were identified
which accounts for 98.33% of the extracted oil. Major components were anethole
(61.41%), fenchol (13.7%), methyl chavicol (6.79%), eugenol (3.6%), aceteugenol
(2.5%), terpinene-4-ol (1.96%), limonene (1.9%), Apiole (1.7%), linalool (1.3%),
isoeugenol (1.2%) and caryophyllene (1.02%). Many other components were also present
in quantities less than 1% (Fig. 3.30).
86
Fig. 3.28: In Vitro antifungal activity of F. vulgare essential oil, used at various
concentrations on mycelial growth of P. italicum. (A) Dilution assay (B)
Volatile assay. Values are mean of three replicates analyzed individually.
Vertical bars show standard error of means of three replicates. Values with
different alphabetic letters indicate significant differences (P=0.05) as
determined by Duncan’s Multiple Range (DMR) test.
Fig. 3.29: In Vivo antifungal activity of F. vulgare essential oil, used in various
concentrations, on mycelial growth of P. italicum. Values are mean of three
replicates analyzed individually.
0
1
2
3
4
5
6
7
8
0 3 6 12 24 48
Co
lon
y d
iam
eter
(cm
)
Conc. of essential oil (µL mL-1)
A
a
b b b b b 0
1
2
3
4
5
6
7
0 3 6 12 24 48
Co
lon
y d
iam
eter
(cm
)
Conc. of essential oil (µL mL-1)
B
a
b b b b b
-1
0
1
2
3
4
5
6
7
0 2 4 6 8 10 12 14 16
Colo
ny D
iam
eter
of
P. It
ali
cum
(cm
)
Incubation Time (Day)
Control
Conc. 3µL/mL
Conc. 6µL/mL
Conc. 12µL/mL
Conc. 24µL/mL
Conc. 48µL/mL
87
Fig. 3.30: GC-MS chromatogram of essential oil extracted from leaves of F. vulgare.
ɣ-terpinene
Methyl chavicol
Anethole
Fenchon
88
Table 3.12: Chemical Composition of Essential Oil Extracted from F. vulgare.
Components RI % Composition
ɣ-Terpinene 998 0.25 ± 0.04gh
Limonene 1018 1.9 ± 0.02ef
P-Cymene 1042 0.1 ± 0.00gh
Linalool 1082 1.3 ± 0.08fg
Fenchon 1121 13.7 ± 0.66b
Terpinene-4-ol 1137 1.95 ± 0.2ef
Mmethyl chavicol 1172 6.79 ± 0.12c
Anethole 1190 61.41 ± 0.26a
Thymol 1262 t
Carvacrol 1267 0.3 ± 0.00gh
Anisketone / Anisic acid 1318 0.5 ± 0.05gh
4-Methpxypropiophenone 1318 t
Benzenmethanol, a-ethyl-4-methoxy 1344 t
Eugenol 1392 3.6 ± 0.05d
Isoeugenol 1410 1.2 ± 0.11fgh
Caryophyllene 1494 1.02 ± 0.00fgh
Aceteugenol 1552 2.5 ± 0.00e
p-Methoxymandelic acid 1601 t
Apiole 1705 1.7 ± 0.15ef
Palmitic acid 1968 0.1 ± 0.00h
Oleic acid 2175 t
TOTAL 98.33
Values are the mean of three replicates analyzed individually. Different alphabetic letters
in superscript indicate significant differences (P=0.05) as determined by Duncan’s
Multiple Range (DMR) test. t = trace element, less than 0.05%.
Compounds listed in order of increasing RI value from a HP-5MS column.
Retention indices relative to C9-C24 n-alkanes on the HP-5MS column.
Mode of Identification is RT,RI and MS where;
RT = Identification based on retention time.
RI = Identification based on retention index.
MS = Identification based on comparison of mass spectra
89
3.2.7.4. In Vitro Antifungal Efficacy of Major Components of
F. vulgare Essential Oil
Six major components identified in Foeniculum vulgare M. were checked
independently against selected fungi. Among these six compounds anethole stood as the
most potent inhibitory component of this essential oil. Its lowest tested concentration of
50µL L-1
resulted in an inhibition of 83.91%. Further increase in concentration totally
stopped fungal growth. This was followed by terpinen-4-ol and eugenol that in their
maximum concentration restricted any fungal growth but lower concentrations failed to
inhibit the selected fungi completely. After this, limonene resulted in 96.55% fungal
inhibition when checked in a concentration of 200µL L-1
. Fechon followed limonene with
90.23% of reduction in fungal colony growth. Whereas, least effective component of this
essential oil was methyl chavicol (Fig. 3.31).
Fig. 3.31: Mycelial growth of P. italicum measured after 7 days of incubation on MEA
medium, treated with different concentrations of major components of F.
vulgare essential oil. Values are mean of three replicates analyzed individually.
Vertical bars show standard error of means of three replicates. Values with
different alphabetic letters indicate significant differences (P=0.05) as
determined by Duncan’s Multiple Range (DMR) test.
0
20
40
60
80
100
120
Per
cen
tag
e o
f in
hib
itio
n (
%)
50µL/L 100µL/L 200µL/L
a b
d
c
f
h
a
c
de
b
e
g
a
c
d
a a
c
90
3.2.8. OCIMUM BASILICUM L. (Sweet Basil)
3.2.8.1. In Vitro Antifungal Efficacy
In Vitro studies of antifungal potential of essential oil extracted from Ocimum
basilicum L. leaves also showed variation among dilution and volatile assay. Lower
concentrations of 3 and 6μL mL-1
failed to produce any reduction in fungal biomass when
tested through dilution assay. However, the volatile assay showed a reduction of 9 and
23.4% in fungal biomass tested against same concentrations (Fig. 3.32). Further increase
in concentration of essential oil to 12 and 24μL mL-1
generated insignificant reduction in
fungal growth in dilution assay, but volatile assay caused a significant decrease in fungal
biomass of 33.5 and 40.6% against these concentrations. Highest tested concentration of
48μL mL-1
significantly reduced fungal growth and a percentage reduction of 24 and 43%
was recorded in dilution and volatile assays (Fig. 3.32).
3.2.8.2. In Vivo Antifungal Efficacy
Supporting the results of In Vitro volatile assay, In Vivo studies also showed
significant antifungal activities. Lowest tested concentration of 3μL mL-1
generated
54.2% reduction in colony growth of tested fungi. This antifungal activity increased with
increase in concentration of essential oil. A highly significant reduction of 91.5 and
94.9% was recorded in samples treated with essential oil in concentration of 24 and 48μL
mL-1
. Increase in concentration also delayed initiation of fungal growth. Growth recorded
after 4th
day of inoculation in samples treated with 3μL mL-1
concentration. With further
increase in essential oil concentration the growth instigated late and in samples treated
with highest tested concentration of 48μL mL-1
growth started after 8th
day of inoculation
(Fig. 3.33).
3.2.8.3. Chemical Composition
The chemical composition determined in the essential oil of O. basilicum is
given in Table 3.13. A total of 29 compounds in this essential oil representing 97.52% of
the total amount, were identified by GC-MS and GC-FID (Fig. 3.34). The dominant
91
Fig. 3.32: In Vitro antifungal activity of O. basilicum essential oil, used at various
concentrations on mycelial growth of P. italicum. (A) Dilution assay (B)
Volatile assay. Values are mean of three replicates analyzed individually.
Vertical bars show standard error of means of three replicates. Values with
different alphabetic letters indicate significant differences (P=0.05) as
determined by Duncan’s Multiple Range (DMR) test.
Fig. 3.33: In Vivo antifungal activity of O. basilicum essential oil, used in various
concentrations, on mycelial growth of P. italicum. Values are mean of three
replicates analyzed individually.
0
1
2
3
4
5
6
7
8
0 3 6 12 24 48
Co
lon
y d
iam
eter
(cm
)
Conc. of essential oil (µL mL-1)
A
a a a ab
ab b
0
1
2
3
4
5
6
7
0 3 6 12 24 48
Co
lon
y d
iam
eter
(cm
)
Conc. of essential oil (µL mL-1)
B
a ab
bc c
c c
-1
0
1
2
3
4
5
6
7
0 2 4 6 8 10 12 14 16
Colo
ny
Dia
met
er o
f P. It
ali
cum
(cm
)
Incubation Time (Day)
Control
Conc. 3µL/mL
Conc. 6µL/mL
Conc. 12µL/mL
Conc. 24µL/mL
Conc. 48µL/mL
92
Fig. 3.34: GC-MS chromatogram of essential oil extracted from leaves of O. basilicum.
Eucalyptol Linalool
ɣ-terpinene
Β-cubebene
Carvacrol
Eugenol
93
Table 3.13: Chemical Composition of Essential Oil Extracted from O. basilicum.
Components RI
%
Composition
β-cis-Ocimene 976 2.37 ± 0.09fg
P- Cymene 1042 0.09± 0.00k
Eucalyptol 1059 1.9± 0.23g-i
Linalool 1082 31.5± 0.31a
Camphor, (+)- 1121 0.43± 0.01jk
Terpinene-4-ol 1137 2.12± 0.08f-h
Isoborneol 1138 t
Fenchol, exo 1138 0.3± 0.00jk
4-Allyanisole 1172 3.1± 0.08e
Citral 1174 15.1± 0.46b
Carvacrol 1262 9.1± 0.27d
Fenchyl acetate 1277 1.26± 0.01h-j
β-Cubebene 1339 3.97± 0.15e
Methyl Eugenol 1361 11.4± 0.28c
Eugenol 1392 4.05± 0.01e
β-Elemen 1398 t
Isoeugenol 1410 1.23± 0.08h-j
α-Bergamotene 1430 0.2± 0.05jk
ɣ-Elemene 1431 0.4± 0.03jk
ɣ-Cadinene 1435 2.01± 0.00g-i
ɣ-Muurolene 1435 0.17± 0.01jk
β-Sesquiphellandrene 1446 t
α-Bulnesene 1490 t
Caryophyllene 1494 1.98± 0.01g-i
Cis-α-Bisabolene 1518 0.1± 0.00k
Acetyl eugenol 1552 2.16± 0.08f-h
94
Cubenol 1580 0.46± 0.01jk
tau.-Cadinol 1580 1.02± 0.01i-k
Phytol 2045 1.1± 0.08h-k
TOTAL 97.52
Values are the mean of three replicates analyzed individually. Different alphabetic letters
in superscript indicate significant differences (P=0.05) as determined by Duncan’s
Multiple Range (DMR) test.
Compounds listed in order of increasing RI value from a HP-5MS column.
Retention indices relative to C9-C24 n-alkanes on the HP-5MS column.
t = trace element, less than 0.05%.
Mode of Identification is RT,RI and MS where;
RT = Identification based on retention time.
RI = Identification based on retention index.
MS = Identification based on comparison of mass spectra.
95
compounds were Linalool (31.5%), citral (15.1%), methyl eugenol (11.4%), carvacrol
(9.1%), eugenol (4.05%), β-cubebene (3.97%), and 4-allyanisole (3.1%). Moreover, the
tested oil also contained a considerable amount of numerous minor compounds (Table
3.13).
3.2.8.4. In Vitro Antifungal Efficacy of Major Components of
O. basilicum Essential Oil
Among the five individually tested components of Ocimum basilicum, eugenol stood as
the most effective antifungal component. Its highest tested concentration did not allowed
any growth in the media. This was followed by methyl eugenol that gave a maximum of
91.96% control and carvacrol that restricted the selected fungi to 83.33% when checked
in a concentration of 200µL L-1
(Fig. 3.35). Citral and linalool showed significantly equal
antifungal potential at maximum tested concentration. However, slight variation was
recorded in lower concentrations (Fig. 3.35).
Fig. 3.35: Mycelial growth of P. italicum was measured after 7 days of incubation on
MEA medium, treated with different concentrations of major components of O.
basilicum essential oil. Values are mean of three replicates analyzed
individually. Vertical bars show standard error of means of three replicates.
Values with different alphabetic letters indicate significant differences
(P=0.05) as determined by Duncan’s Multiple Range (DMR) test.
0
20
40
60
80
100
120
Carvacrol Citral Eugenol Linalool Methyleugenol
Per
cen
tage
of
inh
ibit
ion
(%
)
50µL/L 100µL/L 200µL/L
i
de
i
jk
a
c
ef cd
j
k
c
fh
j
b
efg
96
3.2.9. OCIMUM SANCTUM L. (Holy Basil)
3.2.9.1. In Vitro Antifungal Efficacy
Ocimum sanctum L. leaf essential oil also controlled In Vitro growth of tested
fungi highly significantly in all tested concentrations. Lowest tested concentration of 3μL
mL-1
resulted in 80% growth inhibition in dilution assay. With increase in essential oil
concentration this assay showed a gentle rise in fungal growth reduction. A 98% decline
in fungal biomass was recorded at 24μL mL-1
(Fig. 3.36). In case of volatile assay the
upturn in antifungal activity was insignificant when concentration of the essential oil
increased from 3μL mL-1
to 24μL mL-1
and the percentage of inhibition was recorded
between 90 to 98.8%. Highest tested concentration of 48μL mL-1
completely restricted
fungal growth on selected media in both dilution and volatile assays (Fig. 3.36).
3.2.9.2. In Vivo Antifungal Efficacy
The In Vivo antifungal activity of O. sanctum essential oil was also found
equally effective as was shown by In Vitro assays. Lowest tested concentration of 3μL
mL-1
restricted fungal growth up to 4th
day of inoculation, whereas the reduction in
colony growth was 57.6% at 15th
day of inoculation (Fig. 3.37). Increase in essential oil
concentration increased this antifungal activity. No fungal growth was recorded till 8th
and 10th
day of inoculation in samples treated with basil essential oil in concentrations of
6 and 12μL mL-1
. In addition, these concentrations caused a significant reduction of 77.9
and 92.4% in colony growth at 15th
day of inoculation. Further increase in essential oil
concentration completely inhibited growth in tested fungi (Fig. 3.37).
3.2.9.3. Chemical Composition
The chemical composition of O. sanctum essential oil was analyzed by the
GC-MS and GC-FID (Fig. 3.38). A list of twenty identified compounds has been
recorded in Table 3.14 making 97.4% of the total oil. This oil was mainly composed of
linalool, caryophyllene, 1,8-cineole, ɣ-gurjuene, β-caryophyllene, citral, thymol,
carvacrol, B- ocimene and eugenol components with relative percentages of 49.36, 12.01,
6.01, 5.1, 4.37, 3.8, 3.19, 2.1, 2.07, 2.03% respectively. Rest of the components listed in
Table 3.14 were found in minor quantities (Fig. 3.38).
97
Fig. 3.36: In Vitro antifungal activity of O. sanctum essential oil, used at various
concentrations on mycelial growth of P. italicum. (A) Dilution assay (B)
Volatile assay. Values are mean of three replicates analyzed individually.
Vertical bars show standard error of means of three replicates. Values with
different alphabetic letters indicate significant differences (P=0.05) as
determined by Duncan’s Multiple Range (DMR) test.
Fig. 3.37: In Vivo antifungal activity of O. sanctum essential oil, used in various
concentrations, on mycelial growth of P. italicum. Values are mean of three
replicates analyzed individually.
0
1
2
3
4
5
6
7
8
0 3 6 12 24 48
Co
lon
y d
iam
eter
(cm
)
Conc. of essential oil (µL mL-1)
A
a
b bc bc bc c
-1
0
1
2
3
4
5
6
7
0 3 6 12 24 48
Co
lon
y d
iam
eter
(cm
)
Conc. of essential oil (µL mL-1)
B
a
b b b b
b
-1
0
1
2
3
4
5
6
7
0 2 4 6 8 10 12 14 16
Colo
ny D
iam
eter
of
P. It
ali
cum
(cm
)
Incubation Time (Day)
Control
Conc. 3µL/mL
Conc. 6µL/mL
Conc. 12µL/mL
Conc. 24µL/mL
Conc. 48µL/mL
98
Fig. 3.38: GC-MS chromatogram of essential oil extracted from leaves of O. sanctum.
Linalool
Thymol
Caryophyllene
Carvacrol
99
Table 3.14: Chemical Composition of Essential oil Extracted from O. sanctum.
Components RI
%
Composition
(-)-. Beta.-Pinene 943 1.01 ± 0.00h
B-Myrecene 958 t
Limonene 1018 1.02 ± 0.01h
β ocimene 1048 2.07 ± 0.01g
1,8-Cineole 1059 6.01 ± 0.00c
Linalool 1082 49.36 ± 0.37a
Terpinene-4-ol 1137 1.07 ± 0.00h
Citral 1174 3.8± 0.15f
Thymol 1262 3.19 ± 0.11f
Carvacrol 1263 2.1 ± 0.07g
Eugenol 1392 2.03 ± 0.02g
β-Caryophyllene 1438 4.37 ± 0.31e
ɣ-Gurjuene 1461 5.1 ± 0.09d
Caryophyllene 1494 12.01 ± 0.00b
Caryophyllene oxide 1507 0.7 ± 0.00hi
Germacrene D 1515 1.32 ± 0.17h
Viridiflorol 1530 t
α-Caryophyllene 1579 1.14 ± 0.02h
α-Cadinol 1580 0.05 ± 0.02h
B-Eudesmol 1593 t
96.35
Values are the mean of three replicates analyzed individually. Different alphabetic letters
in superscript indicate significant differences (P=0.05) as determined by Duncan’s
Multiple Range (DMR) test.
Compounds listed in order of increasing RI value from a HP-5MS column.
Retention indices relative to C9-C24 n-alkanes on the HP-5MS column.
t = trace element, less than 0.05%.
Mode of Identification is RT,RI and MS where;
RT = Identification based on retention time.
RI = Identification based on retention index.
MS = Identification based on comparison of mass spectra.
100
3.2.9.4. In Vitro Antifungal Efficacy of Major Components of
O. sanctum Essential Oil
Seven major components of Ocimum sanctum identified in this study were checked
independently against P. italicum. Among these seven components thymol controlled
selected fungi highly significantly. Its lowest tested concentration restricted fungal
growth up to 93.1%. Further increase in concentration did not allowed any growth in the
media. Eugenol and 1,8-cineole were next in their antifungal potential. Their highest
tested concentration resulted in 100% fungal inhibition. At lower concentrations slight
variation was recorded among their significance to control the selected fungi. After this,
caryophyllene caused 87.36% growth inhibition at its maximum tested concentration. The
effect of carvacrol was found pretty close to that of caryophyllene at 200µL L-1
.
However, its lower concentrations produced less percentage of inhibition than
caryophyllene. Least affectivity was recorded by linalool and citral (Fig. 3.39.).
Fig. 3.39: Mycelial growth of P. italicum measured after 7 days of incubation on MEA
medium, treated with different concentrations of major components of O.
sanctum essential oil. Values are mean of three replicates analyzed
individually. Vertical bars show standard error of means of three replicates.
Values with different alphabetic letters indicate significant differences
(P=0.05) as determined by Duncan’s Multiple Range (DMR) test.
0
20
40
60
80
100
120
Per
cen
tage
of
inh
ibit
ion
(%
)
50µL/L 100µL/L 200µL/L
b
e
i
jk
a
cd f
de
j k
c
f gh
cd
g
j
d
h
a a a
101
3.2.10. TRACHYSPERMUM CAPTIVUM L. (Carom)
3.2.10.1. In Vitro Antifungal Efficacy
Trachyspermum captivum L. essential oil extracted from its seeds proved as
a very potent source for restricting growth of Penicillium italicum as its lowest tested
concentration of 3μL mL-1
did not allow any fungal growth (Fig. 3.40). The antifungal
activity was found equally efficient when checked through dilution and volatile assays.
3.2.10.2. In Vivo Antifungal Efficacy
In In Vivo studies the T. captivum seed essential oil followed similar trend as
was shown in In Vitro assays. No fungal growth was recorded on fruits treated with
essential oil concentration of 12μL mL-1
and higher till 15th
day of inoculation. Lower
concentrations of 3 and 6μL mL-1
reduced fungal growth up to 95.74 and 94.96%
respectively (Fig. 3.41).
3.2.10.3. Chemical Composition
The GC-MS and GC-FID analysis of T. captivum seed essential oil showed
the presence of thirty four identified compounds (Table 3.15) which represented 97.9% of
the total oil. The dominant compounds of the tested essential oil were thymol (42.9%)
followed by P-cymene (21.4%), ɣ-terpinene (13.5%), isothymol (2.5%), IR-alpha-pinene
(2.1%), eugenol (1.9%), (-)-Beta-pinene (1.7%), myrcene (1.63%), cuminal (1.5%) and
1,8-cineole (1.3%). Other compounds were present in small percentages (Fig. 3.42).
102
Fig. 3.40: In Vitro antifungal activity of T. captivum essential oil, used at various
concentrations on mycelial growth of P. italicum. (A) Dilution assay (B)
Volatile assay. Values are mean of three replicates analyzed individually.
Vertical bars show standard error of means of three replicates. Values with
different alphabetic letters indicate significant differences (P=0.05) as
determined by Duncan’s Multiple Range (DMR) test.
Fig. 3.41: In Vivo antifungal activity of T. captivum essential oil, used in various
concentrations, on mycelial growth of P. italicum. Values are mean of three
replicates analyzed individually.
0
1
2
3
4
5
6
7
8
0 3 6 12 24 48
Co
lon
y d
iam
eter
(cm
)
Conc. of essential oil (µL mL-1)
A a
b b b b b 0
1
2
3
4
5
6
7
0 3 6 12 24 48
Co
lon
y d
iam
eter
(cm
)
Conc. of essential oil (µL mL-1)
B
a
b b b b b
-1
0
1
2
3
4
5
6
7
0 2 4 6 8 10 12 14 16
Co
lon
y D
iam
eter
of
P.
Itali
cum
(cm
)
Incubation Time (Day)
Control
Conc. 3µL/mL
Conc. 6µL/mL
Conc. 12µL/mL
Conc. 24µL/mL
Conc. 48µL/mL
103
Fig. 3.42: GC-MS chromatogram of essential oil extracted from seeds of T. captivum
Thymol
Iso thymol
P- cymene
104
Table 3.15: Chemical Composition of Essential Oil Extracted from T. captivum.
Components RI
%
Composition
6-Methyl-cyclodec-5-enol 809 t
Bicyclo[3.1.0]hexane, 4-methyl-1-(1-
methylethyl)-, didehydroderiv 873 t
α-Thujene 927 0.13 ± 0.005jk
(-)-. Beta.-Pinene 943 1.7 ± 0.08d-g
1R-alpha-pinene 948 2.1 ± 0.03de
B-Myrecene / Myrcene 958 1.63 ± 0.08d-g
Sabinene 967 0.31 ± 0.005i-k
ɣ-Terpinen 998 13.5 ± 0.28c
α-Tepinene 1015 1.15 ± 0.07e-j
Limonene 1018 0.51 ± 0.003h-k
B- phallederene 1030 0.77 ± 0.00g-k
P-Cymene 1042 21.4 ± 0.84b
1,8-Cineole 1059 1.3 ± 0.00e-i
Linalool 1082 0.2 ± 0.05jk
Terpinolene 1089 0.05 ± 0.01k
Cyclohexene, 2-ethenyl-1,3,3-
trimethyl 1105 t
Berbenone 1119 t
Camphor, (+)- 1121 0.64 ± 0.08g-k
Terpinene-4-ol 1137 0.45 ± 0.02h-k
Estragol 1172 0.98 ± 0.02f-k
Naphthalene, 1,2,3,4,4a, 5,6,7-
octahydro-4a-methyl- 1185 t
α-Terpineol 1189 t
Anisole 1190 0.56 ± 0.03h-k
Cuminal 1242 1.5 ± 0.03e-h
Thymol 1262 42.9 ± 0.00a
105
Isothymol 1267 2.5 ± 0.17d
Eugenol 1392 1.9 ± 0.03d-f
ɣ-Elemene 1431 0.34 ± 0.00i-k
Caryophyllene oxide 1507 0.09 ± 0.00k
Aceteugenol
α-Humulene
Palmitic acid
1552
1579
1968
1.01 ± 0.00f-k
0.23 ± 0.00jk
0.05 ± 0.0k
Oleic acid 2125 t
Gibberellic acid 2653 t
TOTAL 97.9
Values are the mean of three replicates analyzed individually. Different alphabetic letters
in superscript indicate significant differences (P=0.05) as determined by Duncan’s
Multiple Range (DMR) test.
t= trace, less than 0.05%.
Compounds listed in order of increasing RI value from a HP-5MS column.
Retention indices relative to C9-C24 n-alkanes on the HP-5MS column.
Mode of Identification is RT,RI and MS where;
RT = Identification based on retention time.
RI = Identification based on retention index.
MS = Identification based on comparison of mass spectra.
106
3.2.10.4. In Vitro Antifungal Efficacy of Major Components of
T. captivum Essential Oil
Among the six selected major components of Trachyspermum captivum
essential oil thymol proved as highly significant component to reduce fungal growth.
Only 7% growth was recorded against its minimum tested concentration. Doubling the
concentration to 100µL L-1
did not allow any growth (Fig. 3.43). Eugenol and 1,8-cineole
also completely restricted fungal growth at maximum tested concentration. This was
followed by γ-terpinene and p-cymene. Least potent antifungal component was β-pinene
whose highest tested concentration could only cause 69.54% reduction in growth of P.
italicum.
Fig. 3.43: Mycelial growth of P. italicum measured after 7 days of incubation on MEA
medium, treated with different concentrations of major components of T.
captivum essential oil. Values are mean of three replicates analyzed
individually. Vertical bars show standard error of means of three replicates.
Values with different alphabetic letters indicate significant differences
(P=0.05) as determined by Duncan’s Multiple Range (DMR) test.
0
20
40
60
80
100
120
Per
cen
tage
of
inh
ibit
ion
(%
)
50µL/L 100µL/L 200µL/L
f
j k
c
gh
j
ac
e
hi
d fg
b
de
i
a a a a
107
3.2.11. SELECTION OF MOST EFFECTIVE ESSENTIAL
OIL
3.2.11.1. In Vitro Antifungal Assay
In Vitro antifungal activity of ten essential oils was checked against P.
italicum using dilution and volatile assays. All the essential oils with an exception of
Cumin cyminium showed similar antifungal activity in both assays. The Trachyspermum
captivum essential oil found to be the most effective in inhibiting the growth of selected
fungi as it did not allow any growth even at its lowest tested concentration in both
dilution and volatile assays. This was followed by Foeniculum vulgare essential oil that
showed equally significant antifungal activity to T. captivum essential oil when checked
through volatile assay. However, in dilution assay the complete inhibition of tested fungi
was achieved at a bit higher concentration of 12μL mL-1
(Fig. 3.44).
This was followed by Eugenia caryophyllata and Ocimum sanctum essential oils as all
the tested concentrations of these oils showed highly significant antifungal activity
ranging between 90 – 100% against selected fungus in both assays. In case of C.
cyminium essential oil a little variation was recorded in results of both dilution and
volatile assays. Results from dilution assays proved C. cyminium essential oils equally
effective to E. caryophyllata and O. sanctum. However, lower concentrations of 3 and
6μL mL-1
could not prove as affective in volatile assay and the inhibition percentages
were 32 and 69% respectively. However, higher concentrations of 12 - 48μL mL-1
hardly
allowed any growth in the cultures of volatile assay (Fig 3.44B).
Essential oils of Cymbopogon citratus stood next in their potential to control In Vitro
growth of selected fungus. Both assays produced similar results. Lowest concentration of
3μL mL-1
produced 70-71% growth inhibition that increased with increase in
concentration and highest tested concentration restricted fungal growth up to 97% in
dilution and 99.4% in volatile assays.
108
This was followed by Eucalyptus globulus essential oil that produced 56-58% growth
reduction in P. italicum at lowest concentration of 3μL mL-1
. With increase in
concentration the percentage of growth inhibition reached to 77 and 87% in dilution and
volatile assays respectively.
Least significant activity was recorded in Cinnnamomum zylanicum, Ocimum basilicum
and Azadirachta indica essential oils. All tested concentrations of these three sources
produced insignificant antifungal activity in dilution assay. However, volatile assay
showed slightly significant increase in percentage of growth inhibition with increase in
concentration. Highest tested concentration of 48μL mL-1
could only produce 37.6, 43
and 11.7% growth inhibition in cultures treated with A. indica, O. basilicum and C.
zylanicum essential oils respectively (Fig. 3.44)
3.2.11.2. In Vivo Antifungal Assay
The results from In Vivo antifungal assay found comparable to In Vitro
studies with few variations. Similar to In Vitro studies, T. captivum and F. vulgare
essential oils found as most significant sources of antifungal activity as no fungal growth
was recorded in samples treated with these oils in concentration of 12μL mL-1
. Eugenia
caryophyllata and O. sanctum essential oils followed these results and they completely
inhibited fungal growth at a concentration of 24μL mL-1
(Fig. 3.45). Antifungal activity
of C. cyminium and C. citratus was found next to this as complete fungal inhibition was
recorded only at their highest tested concentration of 48μL mL-1
. Other essential oils
including A. indica, O. basilicum, E. globulus and C. zylanicum although failed to restrict
fungal growth completely even at their highest tested concentration but they also
produced a significant control on tested fungi with a reduction of fungal growth ranging
between 90 – 95% at their highest tested concentration (Fig. 3.45).
Keeping in view these results T. captivum, F. vulgare and E. caryophyllata were selected
as top three sources of antifungal activity among the ten tested essential oils. Further
studies were done with these essential oils.
109
Fig.3.44: In Vitro antifungal efficacy of various essential oils against P. italicum at
various concentrations. (A) Agar dilution method (B) Volatile method. Values
are mean of three replicates analyzed individually.
0
20
40
60
80
100
120
0 10 20 30 40
Per
cen
tage
of
inh
ibit
ion
(%
)
Concentrations (µL mL -1)
T. captivum E. caryophyllata C. zylanicum C. cyminiumF. vulgare C. citratus A. indica O. basilicumE. globulus O. sanctum
A
0
20
40
60
80
100
120
0 10 20 30 40
Per
cen
tage
of
inh
ibit
ion
(%
)
Concentrations (µL mL-1)
T. captivum E. caryophyllata C. zylanicum C. cyminium
F. vulgare C. citratus A. indica O. basilicum
E. globulus O. sanctum
B
110
Fig. 3.45: In Vivo antifungal efficacy of various essential oils against P. italicum at
various concentrations. Values are mean of three replicates analyzed
individually.
0
20
40
60
80
100
120
0 10 20 30 40
Per
cen
tage
of
inh
ibit
ion
(%
)
Concentrations (µL mL-1)
T. captivum E. caryophyllata C. zylanicum C. cyminium
F. vulgare C. citratus A. indica O. basilicum
E. globulus O. sanctum
111
At zero day
After 15 days
Control 3µL mL-1
6µL mL-1
12µL mL-1
24µL mL-1
48µL mL-1
PLATE 3.2: In Vivo antifungal effect of different concentrations of essential oil extracted from buds of E. caryophyllta.
Pictures were taken after 15 days of incubation at 25ºC.
112
At zero day
After 15 days
Control 3µL mL-1
6µL mL-1
12µL mL-1
24µL mL-1
48µL mL-1
PLATE 3.3: In Vivo antifungal effect of different concentrations of essential oil extracted from seeds of F. vulgare. Pictures
were taken after 15 days of incubation at 25ºC.
113
At zero day
At fifteenth day
Control 3µL mL-1
6µL mL-1
12µL mL-1
24µL mL-1
48µL mL-1
PLATE 3.4: In Vivo antifungal effect of different concentration of essential oil extracted from seeds of T. captivum. Pictures
were taken after 15 days of incubation at 25ºC.
114
3.2.12. EFFECT OF ESSENTIAL OILS ON POST-
HARVEST PHYSICOCHEMICAL CHANGES IN
CITRUS FRUIT DURING COLD STORAGE
Among the ten tested essential oils, three essential oils i.e.,
Trachyspermum captivum, Eugenia caryophyllata and Foeniculum vulgare were
selected on the basis of their significant potential to control post-harvest decay in
citrus fruit (mandarin) during In Vitro and In Vivo studies. The effect of these oils
were checked on physiological properties of the treated fruits including weight loss,
juice content, pH, ascorbic acid content, total soluble solids and titratable acidity.
3.2.12.1. Weight loss of fruit
A constant trend of weight loss was recorded in tested fruits during the
storage period of eight weeks as is clear by the regression line. The percentage of
weight loss was found significantly higher in control when compared to the treated
fruits. The weight loss significantly decreased with increase in essential oil
concentration and time of dipping.
Among the three selected essential oils T. captivum essential oil proved as the most
potent source for controlling the post-harvest decay in storage as the fruits treated
with this essential oil showed least decrease in their weights at the end of the
experimental period. A weight loss of 12.47% was recorded in fruits treated with
400μL L-1
for 20 minutes in this essential oil (Fig. 3.46). This was 46% lesser than the
losses recorded in control fruits. The reduction in weight loss percentages in fruits
treated with 200μL L-1
for 20 minutes and 400μL L-1
for 10 minutes was insignificant
(P=0.05).
Essential oil of F. vulgare followed these results as 16.56% weight loss was recorded
in fruits treated with this essential oil in a concentration of 400μL L-1
for 20 minutes.
As recorded previously, the effect of 400μL L-1
for 10 minutes and 200μL L-1
for 20
minutes was found insignificantly different with a percentage loss of 25.21 and 26.5%
respectively. Fruits dipped in 200μL L-1
for 10 minutes showed a weight loss of
35.3%
115
Fig. 3.46: Linear regression fitted for the effect of different concentrations of essential
oils on weight loss (%) of mandarin fruit during cold storage at 4ºC for 8
weeks. (A) 200µL L-1
for 10 minutes (B) 200µL L-1
for 20 minutes.
y = 7.3096x - 2.0347 R² = 0.9871
y = 3.7068x - 2.8777 R² = 0.966
y = 4.9372x - 2.293 R² = 0.9908
y = 4.3851x - 2.3368 R² = 0.968
-10
0
10
20
30
40
50
60
70
0 1 2 3 4 5 6 7 8 9
Wei
gh
t lo
ss (
%)
Storage period (weeks)
ControlT. captivumE. caryophyllataF. vulgare
A
y = 7.3096x - 2.0347 R² = 0.9871
y = 2.9327x - 2.4818 R² = 0.9536
y = 3.9716x - 1.8005 R² = 0.9894
y = 3.4228x - 1.0557 R² = 0.992
-10
0
10
20
30
40
50
60
70
0 1 2 3 4 5 6 7 8 9
Wei
gh
t L
oss
(%
)
Storage Period (weeks)
ControlT. captivumE. caryophyllataF. vulgare
B
116
Fig. 3.47: Linear regression fitted for the effect of different concentrations of essential
oils on weight loss (%) of mandarin fruit during cold storage at 4ºC for 8
weeks. (A) 400µL L-1 for 10 minutes (B) 400µL L-1 for 20 minutes.
y = 7.3096x - 2.0347 R² = 0.9871
y = 2.5888x - 2.2831 R² = 0.9686
y = 3.3257x - 2.9386 R² = 0.9543
y = 3.2561x - 2.2911 R² = 0.9774
-10
0
10
20
30
40
50
60
70
0 1 2 3 4 5 6 7 8 9
Wei
gh
t lo
ss (
%)
Storage period (weeks)
ControlT. captivumE. caryophyllataF. vulgare
A
y = 7.3096x - 2.0347 R² = 0.9871
y = 1.5998x - 1.6327 R² = 0.9379
y = 2.5763x - 1.9972 R² = 0.9666 y = 2.0921x - 1.4296
R² = 0.9592
-10
0
10
20
30
40
50
60
70
0 1 2 3 4 5 6 7 8 9
Wei
gh
t lo
ss (
%)
Storage period (weeks)
ControlT. captivumE. caryophyllataF. vulgare
B
117
In case of E. caryophyllata, the essential oil concentration of 200μL L-1
for 10
minutes was found equally significant as that of the same concentration of F. vulgare
(Fig 3.46). Doubling the dipping time in this concentration could only increase 6.68%
in reduction in weight losses in comparison to the fruits dipped in same concentration
for 10 minutes. This oil in 400μL L-1
resulted in 25.65% weight loss in fruits dipped
for 10 minutes. This weight loss decreased to 20.47% on the increase of dipping time
to 20 minutes. Thus fruits treated with 400μL L-1
for 20 minutes showed a reduction
of 38.34% in weight losses over the control (Fig. 3.47).
3.2.12.2. Juice content
The linear regression line showed a continuous increasing trend in % of
juice loss in treated and untreated fruits during the storage period of eight weeks. On
the first day the average juice content was around 157.7mL. In control fruits this
decreased to 45.3mL (71.25%) at the end of eight weeks. Essential oil of T. captivum
highly significantly controlled these losses in juice content. Samples treated with its
lowest tested concentration of 200μL L-1
for 10 and 20 minutes gave an average of
92.33 and 96.66mL juice per sample (Fig. 3.48). Hence the percentage of losses in
juice content was 41.44 and 38.69% respectively. The efficiency of this oil increased
with increase in concentration to 400μL L-1
that resulted in an average juice content of
112.33 and 132mL in samples dipped for 10 and 20 minutes respectively. When
compared to the control the highest tested concentration of this oil decreased
percentage losses in juice by 54.98% (Fig. 3. 49).
Essential oil of E. caryophyllata was found next to this. With an average production
of 49.3ml juice per sample, the lowest tested concentration of 200μL L-1
for 10
minutes showed a decrease of 68.71% in juice content (Fig. 3.48A). Doubling the
time of dipping in this concentration highly significantly increased juice content to
81.66mL. Highest tested concentration of 400μL L-1
for 20 minutes decreased these
losses in juice content to 40.8% with an average production of 93.3mL per sample
(Fig. 3.49B).
118
Fig. 3.48: Linear regression fitted for the effect of different concentrations of essential
oils on juice content of mandarin fruit during cold storage at 4 ºC for 8
weeks. (A) 200µL L-1
for 10 minutes (B) 200µL L-1
for 20 minutes.
y = 8.3887x + 1.0596 R² = 0.9922
y = 3.7333x - 2.5711 R² = 0.9703
y = 6.7484x - 2.2987 R² = 0.9884
y = 4.9241x - 1.2614 R² = 0.9914
-10
0
10
20
30
40
50
60
70
80
0 1 2 3 4 5 6 7 8 9
% L
oss
of
juic
e
Storage period (weeks )
ControlT. captivumE. caryophyllataF. vulgare
A
y = 8.3887x + 1.0596 R² = 0.9922
y = 2.1791x - 1.4196 R² = 0.9504
y = 3.5095x + 2.0901 R² = 0.8771
y = 5.4369x + 0.577 R² = 0.9526
-10
0
10
20
30
40
50
60
70
80
0 1 2 3 4 5 6 7 8 9
% L
oss
of
juic
e
Storage period (weeks)
ControlT. captivumE. caryophyllataF. vulgare
B
119
Fig. 3.49: Linear regression fitted for the effect of different concentrations of
essential oils on juice content of mandarin fruit during cold storage at 4ºC
for 8 weeks. (A) 400µL L-1
for 10 minutes (B) 400µL L-1
for 20 minutes.
y = 8.3887x + 1.0596 R² = 0.9922
y = 4.1283x + 2.1047 R² = 0.9572
y = 5.6742x + 3.5498 R² = 0.9817
y = 6.5507x - 1.8375 R² = 0.9858
-10
0
10
20
30
40
50
60
70
80
0 2 4 6 8 10
% L
oss
of
hu
ice
Storage period (weeks)
Control
T. captivum
E. caryophyllata
F. vulgare
A
y = 8.3887x + 1.0596 R² = 0.9922
y = 2.2099x - 1.8757 R² = 0.9063
y = 5.2798x + 1.4064 R² = 0.9921
y = 3.4574x - 2.1716 R² = 0.975
-10
0
10
20
30
40
50
60
70
80
0 2 4 6 8 10
% L
oss
of
juic
e
Storage period (weeks)
ControlT. captivumE. caryophyllataF. vulgare
B
120
Essential oil of F. vulgare was found least effective in decreasing percentage losses in
juice content. Its efficacy was found pretty close to that of essential oil of E.
caryophyllata. In fact the samples dipped in this essential oil concentration of 200μL
L-1
for 10 minutes produced 15% more juice in average (Fig. 3.48A). Doubling the
concentration of this essential oil failed to produce a significant (P=0.05) increase in
the juice content. An average of 62.33mL juice was extracted from samples treated
with 400μL L-1
for 10 minutes (Fig. 3.49A). Increasing the time of dipping in this
highest tested concentration increased this juice content to 88mL per sample and thus
the percentage losses were recorded as 44.18% when compared to the control.
Significantly the essential oils of E. caryophyllata and F. vulgare in their highest
tested concentration of 400μL L-1
for 20 minutes were found equally effective as that
of lowest tested concentration of 200μL L-1
for 10 minutes of T. captivum essential
oil.
3.2.12.3. pH
The results acquired showed a linear trend among the residual and
expected values of pH of treated and untreated juice. The pH value of fresh mandarin
juice was 3.4 at the start of the experiment, while at the end of the experiment after
eight weeks of storage the value reached at 3.85 in control. Essential oil of T.
captivum highly significantly maintained its pH up to 3.5 in fruits treated with highest
tested concentration of 400μL L-1
for 20 minutes (Fig. 3.50B). Whereas, at lowest
tested concentration of 200μL L-1
for 10 minutes the pH value obtained was 3.91(Fig.
3.50A). Essential oil of E. caryophyllata followed this as its maximum tested
concentration of 400µL L-1
for 20 minutes resulted in a pH of 3.87. Efficiency of F.
vulgare essential oil found close to that of E. caryophyllata as the fruits dipped in
same above concentration showed a pH of 3.89 (Fig. 3.50 and 3.51).
121
Fig. 3.50: Linear regression fitted for the effect of different concentrations of essential
oils on pH of mandarin fruit during cold storage at 4ºC for 8 weeks. (A)
200µL L-1
for 10 minutes (B) 200µL L-1
for 20 minutes.
y = 0.0537x + 3.4481 R² = 0.9698
y = 0.0625x + 3.4585 R² = 0.961
y = 0.0632x + 3.491 R² = 0.9335
y = 0.0627x + 3.4819 R² = 0.9649
3.4
3.6
3.8
4
4.2
0 1 2 3 4 5 6 7 8 9
pH
Storage period (weeks)
ControlT. captivumE. caryophyallataF. vulgare
A
y = 0.0508x + 3.4644 R² = 0.9705
y = 0.0446x + 3.4912 R² = 0.9758
y = 0.0469x + 3.5228 R² = 0.8488
y = 0.057x + 3.4824 R² = 0.9853
3.4
3.6
3.8
4
4.2
0 1 2 3 4 5 6 7 8 9
pH
Storage period (weeks)
ControlT. captivumE. caryophyallataF. vulgare
B
122
Fig. 3.51: Linear regression fitted for the effect of different concentrations of essential
oils on pH of mandarin fruit during cold storage at 4ºC for 8 weeks. (A)
400µL L-1
for 10 minutes (B) 400µL L-1
for 20 minutes.
y = 0.0537x + 3.4481 R² = 0.9698
y = 0.0377x + 3.4521 R² = 0.9363
y = 0.0546x + 3.4251 R² = 0.9542
y = 0.0676x + 3.4457 R² = 0.9823
3.4
3.6
3.8
4
4.2
0 2 4 6 8 10
pH
Storage period (weeks)
ControlT. captivumE. caryophyallataF. vulgare
A
y = 0.0537x + 3.4481 R² = 0.9698
y = 0.0138x + 3.4302 R² = 0.9343
y = 0.0404x + 3.5373 R² = 0.7705
y = 0.0532x + 3.4179 R² = 0.9596
3.4
3.6
3.8
4
4.2
0 1 2 3 4 5 6 7 8 9
pH
Storage period (weeks)
ControlT. captivumE. caryophyallataF. vulgare
B
123
3.2.12.4. Total soluble solids
Assessment of total soluble solids in fruits like citrus is an important
indicator of fruit quality. In the present study the regression line showed a gradual
increase in total soluble solids in samples stored over a period of 8 weeks. At the start
of the experiment the quantity of the total soluble solids was recorded as 10 oBrix.
This gradually increased and was found 15oBrix in control samples after 8
th weeks of
storage. Percentage increase in total soluble solids in control samples was recorded as
50%. This increase in total soluble solids was significantly checked by using essential
oils from three selected sources. Essential oil of T. captivum found most effective in
restricting any change in total soluble solids. The samples treated with its highest
tested concentration of 400μL L-1
for 20 minutes showed total soluble solids at 10.63
oBrix (Fig. 3.53B). Hence the percentage of increase in total soluble solids was found
only 6.3%. This was followed by E. caryophyllata. The samples treated with this
essential oil in the same above concentration showed quantity of total soluble solids at
11.9 oBrix. This increase in terms of percentage was 19%. Whereas essential oil of F.
vulgare caused highest increase of 27.6% in the total soluble solids and was found
equally significant (P=0.05) as that of the T. captivum in a concentration of 400μL L-1
for 10 minutes (Fig. 3.53A).
124
Fig. 3.52: Linear regression fitted for the effect of different concentrations of essential
oils on total soluble solids (TSS) of mandarin fruit during cold storage at
4ºC for 8 weeks. (A) 200µL L-1
for 10 minutes (B) 200µL L-1
for 20
minutes.
y = 0.5311x + 10.331 R² = 0.9599
y = 0.33x + 9.7874 R² = 0.887
y = 0.4472x + 10.037 R² = 0.99
y = 0.5106x + 10.161 R² = 0.977
10
11
12
13
14
15
16
0 1 2 3 4 5 6 7 8 9
Ch
an
ge
in T
SS
(⁰B
rix)
Storage period (weeks)
ControlT. captivumE. caryophyllataF. vulgare
A
y = 0.5311x + 10.331 R² = 0.9599
y = 0.1789x + 10.299 R² = 0.921
y = 0.3256x + 10.279 R² = 0.9723
y = 0.375x + 10.222 R² = 0.9736
10
11
12
13
14
15
16
0 1 2 3 4 5 6 7 8 9
Ch
an
ge
in T
SS
(⁰B
rix)
Storage period (weeks)
Control
T. captivum
E. caryophyllata
F. vulgare
B
125
Fig. 3.53: Linear regression fitted for the effect of different concentrations of essential
oils on total soluble solids (TSS) of mandarin fruit during cold storage at
4ºC for 8 weeks. (A) 400µL L-1
for 10 minutes (B) 400µL L-1
for 20
minutes.
y = 0.5311x + 10.331 R² = 0.9599
y = 0.1689x + 10.069 R² = 0.7513
y = 0.2811x + 10.076 R² = 0.9672
y = 0.365x + 9.8881 R² = 0.9822
10
11
12
13
14
15
16
0 1 2 3 4 5 6 7 8 9
Ch
an
ge
in T
SS
(⁰B
rix
)
Storage period (weeks)
ControlT. captivumE. caryophyllataF. vulgare
A
y = 0.5311x + 10.331 R² = 0.9599
y = 0.0672x + 10.001 R² = 0.7511
y = 0.2189x + 10.139 R² = 0.9596
y = 0.3594x + 9.8474 R² = 0.9586
10
11
12
13
14
15
16
0 1 2 3 4 5 6 7 8 9
Ch
an
ge
in T
SS
(⁰B
rix)
Storage period (weeks)
Control
T. captivum
E. caryophyllata
F. vulgare
B
126
3.2.12.5. Ascorbic acid content
The ascorbic acid content measured in terms of mg 100g-1
in fresh juice
of stored mandarin fruits was found to be decreased due to its degradation during the
storage period of eight weeks. The regression line showed a continuous decreasing
trend of ascorbic acid content during storge period in all treatments. In control
samples the ascorbic acid was quantified as 73.84 mg 100g-1
of fresh weight that
decreased to 42.15 mg 100g-1
after 8 weeks of storage. The percentage of ascorbic
acid degradation was as high as 42.9%. The selected essential oil treatments decreased
this degradation of ascorbic acid significantly. Essential oil of T. captivum was found
most effective in controlling ascorbic acid degradation. Lowest tested concentration
of 200μL L-1
reduced ascorbic acid degradation to 18.08 and 12.98% in samples
dipped for 10 and 20 minutes respectively (Fig. 3.54). Increasing the concentration to
400μL L-1
further restricted ascorbic acid degradation to 11.17 and 7.94% in samples
treated for 10 and 20 minutes respectively (Fig. 3.55). Hence the degradation recorded
in samples treated with this essential oil in a concentration of 400μL L-1
for 20
minutes was 34.96% lower than the control samples (Fig. 3.55B).
This was followed by the essential oil of E. caryophyllata that caused 31.5%
degradation of ascorbic acid in samples treated with a concentration of 200μL L-1
for
10 minutes. Highest tested concentration of 400μL L-1
for 20 minutes reduced
ascorbic acid degradation to 15.79% and hence was found equally effective as that of
200μL L-1
of T. captivum. In comparison to the control the degradation percentage in
samples treated with 400μL L-1
of E. caryophyllata essential oil for 20 minutes was
27% lower (Fig. 3.55B).
Essential oil of F. vulgare controlled ascorbic acid degradation least effectively. Its
lowest tested concentration of 200μL L-1
caused an ascorbic acid degradation of
35.4% in samples dipped for 10 minutes (Fig. 3.54A). Doubling the time of dipping in
same concentration lowered this percentage to 30.21%. As recorded previously the
affectivity of this essential oil also increased with increase in concentration and time
of dipping. Highest tested concentration of 400μL L-1
for 20 minutes caused a
degradation of 19.31% in ascorbic acid content that was 23.59% lower when
compared to the control.
127
Fig. 3.54: Linear regression fitted for the effect of different concentrations of essential
oils on ascorbic acid of mandarin fruit during cold storage at 4ºC for 8
weeks. (A) 200µL L-1
for 10 minutes (B) 200µL L-1
for 20 minutes.
y = -3.9142x + 71.877 R² = 0.9788
y = -1.6338x + 73.566 R² = 0.9992
y = -2.9972x + 74.828 R² = 0.9927
y = -3.2356x + 72.986 R² = 0.9969
30
40
50
60
70
80
0 1 2 3 4 5 6 7 8 9
Asc
orb
ic a
cid
(m
g/1
00g)
Storage period (weeks)
ControlT. captivumE. caryophyllataF. vulgare
A
y = -3.9142x + 71.877 R² = 0.9788
y = -1.1371x + 73.691 R² = 0.9706
y = -2.2788x + 73.304 R² = 0.9955
y = -2.7753x + 73.345 R² = 0.9986
30
40
50
60
70
80
0 1 2 3 4 5 6 7 8 9
Asc
orb
ic a
cid
(m
g/1
00g)
Storage period (weeks)
ControlT. captivumE. caryophyllataF. vulgare
B
128
Fig. 3.55: Linear regression fitted for the effect of different concentrations of essential
oils on ascorbic acid of mandarin fruit during cold storage at 4ºC for 8
weeks. (A) 400µL L-1
for 10 minutes (B) 400µL L-1
for 20 minutes.
y = -3.9142x + 71.877 R² = 0.9788
y = -1.0416x + 73.747 R² = 0.9936
y = -2.0279x + 73.56 R² = 0.9986
y = -2.5398x + 73.128 R² = 0.993
30
40
50
60
70
80
0 1 2 3 4 5 6 7 8 9
Asc
rbic
aci
d (
mg
/10
0g)
Storage period (weeks)
ControlT. captivumE. caryophyllataF. vulgare
A
y = -3.9142x + 71.877 R² = 0.9788
y = -0.7417x + 74.105 R² = 0.9818
y = -1.4501x + 74.082 R² = 0.994
y = -1.7337x + 73.592 R² = 0.9972
30
40
50
60
70
80
0 1 2 3 4 5 6 7 8 9
Asc
orb
ic a
cid
(m
g/1
00g)
Storage period (weeks)
ControlT. captivumE. caryophyllataF. vulgare
B
129
3.2.12.6. Titratable acidity
The regression line of titratable acidity also showed significantly
drecreasing trend during eight weeks of the storage period. On the onset of the
experiment the average titratable acidity was measure as 1.6g 100g-1
fresh weight in
control samples that decreased 65.8% in the period of eight weeks and samples of last
harvest showed titratable acidity at 0.546g 100g-1
fresh weight. The three selected
essential oils helped significantly to overcome this reduction. The essential oil of T.
captivum was found most potent in this activity. Samples treated with 400μL L-1
of
this essential oil for 20 minutes showed titratable acidity at an average of 1.243g
100g-1
fresh weight. Hence the percentage loss in titratable acidity decreased to 22.3%
that was 43.48% less than the control (Fig. 3.57B).
Results showed by the essential oil of E. caryophyllata were found quite close to that
of essential oil of T. captivum. Titratable acidity was recorded at 1.026g 100g-1
fresh
weight in fruits treated with 400μL L-1
of E. caryophyllata essential oil for 20
minutes. In terms of percentage losses the titratable acidity decreased to 35.87% that
was 29.9% less in comparison to the control (Fig. 3.57B).
Similarly essential oil of F. vulgare decreased titratable acidity to 39.6% as the fruits
treated with its highest tested concentration for 20 minutes showed an average of
0.966 % titratable acidity. When compared this was 26.17% lower than the control. In
all the essential oils, increase in concentration and time of dipping increased their
efficacy.
130
Fig. 3.5:6 Linear regression fitted for the effect of different concentrations of essential
oils on titratable acidity of mandarin fruit during cold storage at 4ºC for 8
weeks. (A) 200µL L-1
for 10 minutes (B) 200µL L-1
for 20 minutes.
y = -0.164x + 1.8479 R² = 0.8959
y = -0.0951x + 1.6023 R² = 0.993
y = -0.1188x + 1.6466 R² = 0.9911
y = -0.112x + 1.6599 R² = 0.9906
0
0.2
0.4
0.6
0.8
1
1.2
1.4
1.6
1.8
2
0 1 2 3 4 5 6 7 8 9
TA
(g/1
00g f
resh
wei
gh
t)
Storage Periods (weeks)
ControlT. captivumE. caryophyllataF. vulgare
A
y = -0.164x + 1.8479 R² = 0.8959
y = -0.0784x + 1.6134 R² = 0.9925
y = -0.0952x + 1.6327 R² = 0.9922
y = -0.0974x + 1.642 R² = 0.9944
0
0.2
0.4
0.6
0.8
1
1.2
1.4
1.6
1.8
2
0 1 2 3 4 5 6 7 8 9
TA
g/1
00g f
resh
wei
gh
t)
Storage period (Weeks)
ControlT. captivumE. caryophyllataF. vulgare
B
131
Fig. 3.57: Linear regression fitted for the effect of different concentration of essential
oils on titratable acidity of mandarin fruit during cold storage at 4ºC for 8
weeks. (A) 400µL L-1
for 10 minutes (B) 400µL L-1
for 20 minutes.
y = -0.164x + 1.8479 R² = 0.8959
y = -0.0691x + 1.5957 R² = 0.9939
y = -0.0914x + 1.643 R² = 0.9869
y = -0.0914x + 1.643 R² = 0.9869
0
0.2
0.4
0.6
0.8
1
1.2
1.4
1.6
1.8
2
0 1 2 3 4 5 6 7 8 9
TA
(g/1
00g f
resh
wei
gh
t)
Storage period (weeks)
ControlT. captivumE. caryophyllataF. vulgare
A
y = -0.164x + 1.8479 R² = 0.8959
y = -0.0461x + 1.6042 R² = 0.9912
y = -0.0739x + 1.6158 R² = 0.9997
y = -0.0916x + 1.6199 R² = 0.9762
0
0.2
0.4
0.6
0.8
1
1.2
1.4
1.6
1.8
2
0 1 2 3 4 5 6 7 8 9
TA
(g/1
00g f
resh
wei
gh
t)
Storage period (weeks)
Control
T. captivum
B
132
At 0 day After 8 weeks
Control fruit
E. caryophyllata
F. vulgare
T. captivum
Plate 3.5: Mandarin fruits treated with three most effective essential oils with
concentration of 200µL L-1
for 10 minutes, stored at 4ºC for 8 weeks.
133
At 0 day After 8 weeks
Control fruit
E. caryophyllata
F. vulgare
T. captivum
Plate 3.6: Mandarin fruits treated with three most effective essential oils with
concentration of 200µL L-1
for 20 minutes, stored at 4ºC for 8 weeks.
134
At 0 day After 8 weeks
Control fruit
E. caryophyllata
F. vulgare
T. captivum
Plate 3.7: Mandarin fruits treated with three most effective essential oils with
concentration of 400µL L-1
for 10 minutes, stored at 4ºC for 8 weeks.
135
At 0 day After 8 weeks
Control fruit
E. caryophyllata
F. vulgare
T. captivum
Plate 3.8: Mandarin fruits treated with three most effective essential oils with
concentration of 400µL L-1
for 20 minutes, stored at 4ºC for 8 weeks.
136
Chapter 4
DISCUSSION
The blue mold disease caused by Penicillium italicum Wehmer, is most important
problem in all citrus producing regions of the world (Eckert and Eaks, 1989). A recent study
states that more than 90% of citrus fruit decay is under fungal attack that is responsible for high
economic losses annually (Al-Hindi et al., 2011). At present different postharvest fungicides
including benzimidazoles, thiabendazole and imazalil are used to control citrus fruit decay (Fan
et al., 2000). Although, the increasing reports of pathogen resistance to conventional pesticides is
partially the result of a continual and haphazard use of the same fungicide against similar
pathogens for long term. Moreover the consumer is becoming more health conscious and is
highly concern about the hazardous residues of pesticides. All these features are of great concern
in the international trade market and therefore have forced researchers in the field to focus on
development of a new environment safe strategy to control postharvest fungal decay and
improve fruit quality during storage. The reports on citrus fruit losses have increased drastically
in the last decade, as no control measures has proved effective against storage fungi on this fruit
for longer duration (Zhu et al., 2006). Part of the solution to this problem can be the use of plant
based chemicals including plant extracts and essential oils (Prasad et al., 2004; Chuang et al.,
2007; du Plooy et al., 2009; Askarne et al., 2012).
Consequently, present study was designed to investigate a plant based ecologically safe strategy
against postharvest decaying fungi of citrus. Ameziane et al., (2007) also reported that
application of essential oils can be a very attractive and environment safe method for controlling
postharvest diseases and thus can enhance the shelf life of the fruits. Antimicrobial activity of
essential oils is also proven by earlier studies (Shimoni et al., 1993; Mishra and Dubey, 1994;
Cox et al., 1998; Ozcan, 1998; Cosentino et al., 1999; Aligiannis et al., 2001; Elgayyar et al.,
2001; Arras and Usai, 2001).
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A survey conducted during this study in major citrus growing areas of Punjab, Pakistan revealed
Aspergillus, Penicillium and Rhizopus as the top most fungal genera associated with the stored
mandarin fruits. The most abundant fungal specie found in the collected samples was P. italicum.
In 2005, Tournas and Katsoudas isolated a number of Aspergillus species including A. niger, A.
fumigatus, A. nidulans, A. varsicolor and A. candidus along with some Fusarium species from
stored citrus fruits. Similarly Bukar et al. (2009) reported association of six fungal genera
including Penicillium, Aspergillus, Fusarium, Rhizopus, Alternaria and Mucor with massive
deterioration of citrus fruits. In an earlier study, Niji et al. (1997) reported the presence of
Aspergillus niger in decaying citrus fruits. Penicillium digitatum, Rhizopus stolonifer and
Aspergillus niger have also been isolated from stored oranges by Akintobi et al., in 2011.
The study was extended to evaluate any genetic variation among various isolates of P. italicum
that appeared as most dominating storage fungi in this study. The morphological characteristics
of all the geographically distinct isolates of P. italicum when cultured on malt extract ager were
found closely related. As morphological study is not sufficient in examining the diversity among
microbial isolates, these isolates were further confirmed for their variability by the molecular and
genetic marker studies. Randomly Amplified Polymorphic DNA (RAPD) fingerprinting
technique was used to fulfill this purpose. Dupont et al. (1999) revealed comparatively
significant level of similarities among twelve Penicillium species using molecular markers when
morphological characterization exhibited moderate level of similarities. Tiwari et al., in 2011
also stated that variations in genetic material cannot be studied morphologically, while RAPD
technique may overcome such type of problems and is very effective for microbial specie
characterizations. In present study the genetic relationship among isolates of P. italicum shown
by dendogram was found completely compatible with the geographical locations and belts from
where the isolates have been collected. Lahore and Multan are distant but fall in the same belt in
citrus producing areas of the Punjab. Lahore, Multan, Bhakar, Jhang and Sargodha fall in the
same geographical belt whereas Chiniot and Faisalabad render a separate geographic region.
Consequently the collected isolates from different regions form distinct groups showing a range
of variability as seen by UPGMA results. Sahiwal being more close to southern Punjab showed
more variation as compared to the other isolates. Here another point of concern cannot be
negated that the mutation frequencies fluctuate considerably along the genomic nucleotide
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sequences such that mutations focus at certain positions called hotspots. Mutation hotspots in
DNA reflect the effect of the environmental factors in which the organism prevail (Rozin and
Pavlov, 2003). These mutations are largely due to the point mutations, insersions, deletions,
inversions and translocations in the chromosomes, which cause the variability in the genome that
is easily detected through the fingerprinting process using various molecular marker tools such
as RAPD.
As all the eight isolates of P. italicum were found genetically variable they were then checked
for their pathogenicity potentials by artificial inoculation on mandarin fruits. All the isolates
infect the mandarin fruit at different levels. The Lhr isolate stand as the most pathogenic isolate
as it caused maximum deterioration in tested fruits in 7 days followed by the Fsd and Sdg
isolates. Therefore, Lhr isolate was selected for further investigations and trials.
Naturally plants have special chemical compounds in the cell compartments of their seeds, roots,
shoots, fruits and flowers which are high molecular weight phenolic and aromatic compounds
and have antimicrobial and antifungal activities. The Essential oil composition of plants varies
considerably in different families, genera and other small taxonomic groups. These essential oils
are ethno-medicinally important and used in different medicinal drugs to cure microbial
infections (Singh et al., 2011). Antifungal mechanism of essential oils and their components also
varies from restricting hyphal growth rendering lack of cytoplasm and cell organelles along with
the loss of integrity of the cell wall to the halted conidial and germ tube development (Obagwa,
2003). This antimicrobial activity is due to their hydrophobicity which allows the permeability of
essential oils through lipid bilayer of cell membranes causing the leakage of cell cytoplasm and
its contents (Lambert et al., 2001).
In the present study essential oils from various parts of ten selected plants were employed for the
control of test microbe and these oils were then further characterized for the presence of
antimicrobial compounds playing an active role. Essential oils extracted from ten plants namely
Eugenia caryophyllata T., Cinnnamomum zylanicum J., Cuminum cyminum L., Foeniculum
vulgare M., Trachyspermum captivum L., Cymbopogon citratus S., Azadirachta indica L.,
Eucalyptus globulus L., Ocimum basilicum L. and Ocimum sanctum L. were screened for their
antifungal properties against P. italicum. These plant sources were selected because they are well
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known for their antimicrobial properties (Partra et al., 2002; Dhaliwal et al., 2004; Rasooli and
Owlia, 2005; Soylu et al., 2006; Rasooli and Lee at al., 2007; Yahyazadeh et al., 2008; Mossini
et al., 2009; Camele et al., 2010; Singh et al., 2011; Marandi et al., 2011; ). Recently some
workers have also reported few of these essential oils against blue mold disease in citrus,
however their investigations are restricted to In Vitro assays (Szczerbanik et al. 2007;
Yahyazadeh et al. 2008; Combrinck et al. 2011). The novelty of this study lies in its extensive
scale of work where the studies have been extended to In Vivo assays. The essential oils were
tested in 3, 6, 12, 24 and 48µL mL-1
concentrations against selected fungus. All tested essential
oils exhibited diverse degrees of antifungal activity against P. italicum at different
concentrations. The maximum antifungal activity was shown by T. captivum followed by F.
vulgare, E. caryophyllata, O. sanctum, C. cyminium and C. citratus.
In Vitro and In Vivo studies showed the efficacy of T. captivum essential oil that completely
inhibited fungal growth even at its lowest tested concentration of 3µL mL-1
. Results of this study
are in line with Singh et al. (2004) who reported complete inhibition of selected Penicillium
species against the essential oil of T. captivum even at a low dose of 2µL mL-1
. Different
researchers have previously shown a strong antifungal effect of T. captivum essential oil at
concentrations of 100, 200 and 300ppm (Meera and Sethi, 1994; Diwivedi and Singh, 1999). On
chemical analyses of the extracted essential oil of T. captivum, thymol was found the major
component of the essential oil. This was followed by P-cymene and ɣ-terpinene. This was in
close accordance with the results of Saatchi et al. (2014) who reported thymol as major
component of T. captivum essential oil along with p-cymene, r-terpinen and b-pinene. Waghmare
et al. (2014) also reported the chemical composition of the T. captivum essential oil fairly similar
to this study. When six major identified components of this essential oil were compared for their
antifungal activities, thymol stand as the most effective antifungal component among all. As the
major constituent of the T. captivum essential oil i.e., thymol was also the most effective
antifungal component among all the identified and tested compounds this can rightly be a reason
behind the highest antifungal activity of this oil. Thymol also stands as the most effective
antifungal component among all the twenty four tested components of the ten essential oils.
Hence in this study thymol appeared as the utmost effective chemical compound whose
concentration actually determined the efficiency of different essential oils. In a recent study, the
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In Vitro antifungal efficacies of terpinen-4-ol, eugenol, carvone, eucalyptol and thymol were
tested against Fusarium sp. Aspergillus sp., Penicillium sp. and Alternaria alternata and found
thymol as the most efficient antifungal component (Morcia et al., 2012). Other similar studies
also reported the higher efficacy of thymol as compared to carvacrol and eugenol when checked
against A. niger, P. italicum and P. digitatum (Bouddine et al., 2012; Perrez-Alfanso et al.,
2012). No comprehensive study using T. captivum essential oil before this has been documented
against blue mold decay of citrus. Previous studies documented that antifungal activity of thymol
is due to its potential to alter the hyphal morphology resulting in lyses of hyphal wall, reduced
hyphal diameter or formation of hyphal aggregates (Numpaque et al., 2011). More over this
compound is also known to alter cell membrane permeability thus causing leakage of
macromolecules (Segvic et al., 2007).
The second most effective essential oil found in this study against P. italicum was the seed
essential oil of F. vulgare which was assessed through In Vitro and In Vivo antifungal assays.
Soylu et al. (2005) reported the F. vulgare oil as the most effective oil among Origanum
syriacum, Artimisia annua, Laurel nobilis and Lavender stoechas against green mold i.e., P.
digitatum on citrus fruit during storage. They also exposed the microscopic degenerative
mechanisms of F. vulgare and Origanum syriacum essential oils on fungal hyphal morphology.
They reported that mycelial cells become devoid of cytoplasm and cytoplasmic organelles which
showed overall suppressed growth of the fungus. Essential oil of F. vulgare is also known to
inhibit various other storage fungi including A. alternata, F. oxysporum, A. flavus and A.
parasiticus (Aggarwal et al., 2000). The most prominent chemical constituent found in F.
vulgare essential oil by using recent techniques of GC-MS and GC-FID was anethole followed
by fenchol, methyl chavicol and eugenol. Many previous investigations have reported similar
chemistry of this essential oil and have mentioned anethole as its major component (Fernandez-
Ocana et al., 2004; Singh et al., 2006; Abdolahi et al., 2010). Similar to the thymol, anethole
also completely inhibited tested fungi at 100µL L-1
but at lower concentration it was found
slightly less effective than thymol. Parallel to the results of T. captivum the most potent
antifungal component of this essential oil appeared as the major component, constituting 61.4%
of the oil. Hence this can be a cause of high antifungal activity of this oil. When compared
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among all the twenty four tested essential oil components anethole stood second after thymol in
its ability to control fungi.
Eugenia caryophyllata and Ocimum sanctum essential oils showed approximately similar results
at higher concentrations of 24 and 48µL mL-1
during In Vitro assay. But at lowest tested
concentration of 3µL mL-1
, E. caryophyllata showed slightly higher inhibition over O. sanctum.
In Vivo studies also revealed E. caryophyllata as the next most effective essential oil against blue
mold pathogen. Deng et al. (2013) evidenced E. caryophyllata oil as the most effective and
remarkably fungistatic against P. italicum and Fusarium sp. Their experiment demonstrated that
F. vulgare oil is less effective in contrast to E. caryophyllata oil which is not in accordance with
the results obtained in the present study. The essential oil of E. caryophyllata was also reported
to have fungicidal activity on several food borne fungal species (Lopez et al., 2005). Eugenia
caryophyllata essential oil significantly suppressed the microbial growth of A. fumigatus and A.
acculeatus and displayed greater pathogenicity. According to Pawar and Thaker (2006), E.
caryophyllata essential oil can be also effective against the growth of A. niger. The results of
Sunita and Mahendra (2008) proved the efficacy of O. sanctum essential oil against several
pathogenic fungi including A. fumigatus and A. niger. When chemistry of both the essential oils
was compared, Eugenol was found as the major component of the E. caryophyllata essential oil,
whereas in O. sanctum, linalool was recorded with maximum percentage. The antifungal
effectivity of eugenol was significantly higher than linalool. In case of E. caryophyllata,
cuminaldehyde was also found equally potent as that of eugenol. However quantity of
cuminaldehyde was much lower than eugenol. In contrast to this major component of O. sanctum
i.e., linalool was found as least effective compound against tested fungi. The effective
components of the essential oil of O. sanctum were thymol, eugenol and 1,8-cineole that were
present in very low percentages. This may be the cause of its lower antifungal potential than E.
caryophyllata. The same findings were evidenced by Eugenia et al., in 2009 who investigated
the antifungal activity of E. caryophyllata essential oil and eugenol against Candida and
Aspergillus species. In this study, eugenol was evidenced to be the third most effective chemical
component after thymol and anethole thus making its essential oil as the third most effective
source of antifungal activity. Previous studies have also confirmed efficacy of E. caryophyllata
essential oil against P. italicum. Hall and Fernandez (2004); Yahyazadeh et al. (2008) and
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Combrinck et al. (2011) also showed In Vitro efficacy of E. caryophyllata essential oil against
blue mold fungus. Plaza et al., in 2004, documented significant In Vitro antifungal potential of E.
caryophyllata essential oil against blue mold fungi. However when they extended their studies to
In Vivo assays they found it ineffective against P. italicum when tested directly on inoculated
wounds. When they used this oil in combination with wax or incorporated in packaging by
soaking pads, severe rind damage was observed making this technique impracticable. No such
rind damage or bad odour was recorded in present study.
Essential oils rich in phenolic compounds are reported to possess high level of antifungal
activities. Ozcan and Boyraz (2000) and Tepe et al. (2005) documented that phenolics usually
show strongest antifungal activities followed by aldehyde, ketones, alcohols and other
hydrocarbons. In present study thymol that is a phenol which showed highest inhibition of tested
fungi among twenty four tested essential oil components. It was followed by anethole that is a
derivative of phenylpropene and eugenol that is a phenylpropene.
The essential oils of C. cyminium and C. citratus stood as the next potent source of antifungal
activity. Considerable antifungal activity of C. cyminium essential oil has been reported by a lot
of researchers against A. flavus, P. expansum, A. ochraceus, P. verrucosum, Salmonella
typhimurium, Escherisia coli and various other microbes (Hammer et al., 2003; Burt, 2004;
Iacobellis et al., 2005; Nguefack et al., 2012). In another study Lee et al. (2007) demonstrated
strong growth inhibitory activities of C. cyminium and C. citratus essential oils against the
pathogen causing gray mold of apple. The essential oil of C. citratus has also been documented
exhibiting various degrees of antifungal activity against phytopathogenic fungi (Sun et al., 2007;
Sunita and Mahendra, 2008). The chemical analyses of the tested essential oil of C. cyminium
showed cuminaldehyde as its prime component. This was followed by carvacrol, terpinen-4-ol
and citronella. Kawther (2007) have also reported the presence of γ-terpinene, β-pinene and
cuminaldehyde in this essential oil. In the present study, when identified components were
compared for their effectivity, cuminaldehyde and terpinen-4-ol was found as most potent
components in restricting the fungal growth after thymol that was found in traces in this essential
oil. Carvacrol also established as a major component of this oil but its antifungal activity was
recorded significantly lower than other constituents. On the other hand C. citratus illustrated
citral as its major component followed by neral, geraniol, limonene and caryophyllene. The
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component with highest percentage of occurrence i.e., citral showed least antifungal activity.
However, the second most abundant component neral stood as the most effective antifungal
component of this oil along with limonene. Adegok et al. (2000) also revealed limonene as the
most potent antifungal constituent of C. citratus essential oil against A. flavus and A. parasiticus.
They also confirmed that limonene is actually involved in the membrane injury of fungal
pathogen. In another study citral, was reported as prime antifungal component of this essential
oil (Silva et al., 2009). Oliveira et al. (2011) confirmed that the antimicrobial efficiency of C.
citratus oil is due to the presence of neral and geranial.
Rest of the four essential oils including C. zeylanicum, O. basilicum, A. indica and E. globulus
could not prove as effective as the above mentioned sources against selected fungi. Paul and
Sharma (2002) stated that the extract of A. indica did not effectively inhibit the fungal growth of
Drechslera graminea and Alternaria alternata. In this study the effectivity of these four essential
oils varied when checked In Vivo and In Vitro. When their components were identified and
checked individually it was found that their prime components were weak antifungal compounds
and the constituents showed higher antifungal activity were found in lower percentages in these
components. In case of C. zeylanicum essential oil the prime constituent is the cinnamaldehyde,
followed by the eugenol, isoeugenol, caryophyllene and β-Pinene as also reported by previous
workers (Schmidt et al., 2006; Kamaliroosta et al., 2012) whereas, the most powerful antifungal
component is eugenol followed by caryophyllene and cinnamaldehyde. Ozcan and Boyraz
(2000) also confirmed eugenol as most effective antifungal constituent of cinnamon essential oil.
Similarly in O. basilicum linalool constituted the major part of the essential oil but its antifungal
activity was positioned after eugenol, methyl eugenol and carvacrol. Oxenham et al. (2005) and
Sunita and Mahendra (2008) also reported similar composition of this essential oil. In contrast to
our studies, these four essential oils have been reported effective against other fungi by various
workers. Ocimum basilicum essential oil is acknowledged for its wound healing properties and
reported as fungitoxicant and antimycotoxicant (Rios and Recio, 2005; Singh et al., 2011). The
significant inhibitory effect of A. indica, E. globulus and O. sanctum plant extracts has been
reported against Fusarium by sexena and Mathela (1996). However, in other studies different
scientists noted that essential oil of A. indica showed low antimicrobial activity (Martinez, 2002;
Carneiro, 2008). Eucalyptus globulus essential oil and extract has been clinically approved as
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food hyperglycemic and antioxidant activities (Takahashi et al., 2000). Eucalyptus globulus oil
showed strong antifungal activity against Fusarium solani and Fusarium oxysporum which
inhibited mycelial growth and spore production in the pathogenic fungi (Fiori et al., 2000;
Oluma and Garba, 2004; Liu et al., 2008). Dhaliwal et al. (2004) reported that the essential oil of
Eucalyptus camaldulensis is highly effective against P. digitatum causing green mold disease in
mandarin c.v. kinoo under both In Vitro and In Vivo conditions. Our results of C. zeylanicum
essential oil efficacy are in agreement with Simic et al. (2004), according to which this essential
oil is significantly effective against filamentous fungi such as A. niger, A. flavus, A. tereus and P.
versicolor. According to Xing et al. (2010) this oil is active against postharvest pathogens of
citrus fruit like Rizopus nigricans, A. flavus and P. expansum. This essential oil also exhibited
strong inhibitory effects on the growth of Botrytis cinerea (Sirirat et al., 2009; Sessou et al.,
2012).
In Vitro studies were performed using both dilution and volatile assays. The antifungal effects of
most of the essential oils were found more pronounced in volatile assay than in dilution assay.
The reason behind this is that the active chemical compounds can act in a more concentrated
form rather when they get diluted in a medium. These results were in close agreement with the
study of Bouddine et al. (2012) who used both dilution and volatile methods for determining the
efficacy of various essential oils. Their study demonstrated that the volatile method was more
effective due to the high concentration of major components in the oil that could inhibit fungal
growth in a more pronounced way. Other studies in literature also supported the similar findings
(Suhr and Nielsen, 2003; Inouye et al., 2000). However, in case of C. cyminium essential oil the
antifungal effect was higher when checked through dilution method in comparison to the volatile
method.
Top three essential oils found active in controlling selected postharvest fungi were then checked
for their effect on physicochemical changes that occurs in a fruit during storage. Mandarin fruits
treated with different concentrations of T. captivum, E. caryophyllata and F. vulgare essential
oils for 10 and 20 minutes were stored at 4oC for eight weeks. Readings for various parameters
were taken after every seven days. As was expected the fruit quality in untreated fruits
diminished with passage of time. Fruits treated with selected essential oils showed significantly
lower rates of deterioration. Essential oil of T. captivum found most effective in reducing
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postharvest decay followed by F. vulgare and E. caryophyllata. Earlier reports also confirm that
different physicochemical changes occur in perishables during storage that results in its
deterioration (Aquino, 2003). It is therefore that storage of fruits at low temperature is most
desired practice to maintain the fruit quality that also extends the shelf life of fruit (Sala and
Lafuente, 1999). Recent research reports the use of wax that reduce losses in firmness and
strength of fruits like citrus (Hagenmaier, 2000; Rojas et al., 2002; Perez et al., 2003).
First sign of quality deterioration is the weight loss in the fruits that is also visually noticeable as
wilted fruits. Results of this study were in accordance with the findings of Roongruangsri et al.
(2013) who demonstrated that the percentage of weight loss increased and the moisture content
of citrus peel decreased at higher temperature and longer duration. However, low temperature
storage reduces the losses of fruit weight and moisture content of the peel and preserved the
external quality better than storage at room temperature. Wills et al. (2007) demonstrated that
weight loss was caused by fruit transpiration in which water evaporated and resulted in the
wilted fruit rind and a shriveled appearance. In Mandarin fruit, 5-6% water loss resulted in some
changes in appearance and firmness of the fruit that could be detrimental to its marketability
(Ladaniya, 2008). It is evident from present study that essential oils can be a safe alternative for
commercial coatings and waxes to reduce weight losses during storage. Chafer et al. (2012)
reported that coating of chitosan; bergamot thyme and tea tree essential oils significantly reduce
the physicochemical changes in citrus fruit throughout the cold storage. Many earlier reports
confirmed that the effect of coatings of edible composites significantly control the weight loss of
citrus fruit (Valencia-Chamorro et al., 2008; Silvia et al., 2010). Weight loss was not only due to
the moisture loss from the peel but the juice content was also found to be reduced when checked
periodically. Essential oil of T. captivum reduced these losses to minimum level thus increased
its shelf life.
The pH of stored fruits slightly increased with storage time probably due to the breakdown of
acids during respiration (Pesis et al., 1999). However, it remained within acceptable limits even
after eight weeks of storage. Earlier workers have also documented similar changes in pH in
stored citrus juice (Martin et al., 1995; Esteve et al., 2005; Asghari- Marjanlo et al., 2009; Ali et
al., 2011; Chafer et al. 2012). When compared with the changes in the acidity, the variations in
the pH were found less pronounced during eight weeks of the storage period at temperature 4oC.
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Esteve et al., in 2005 also concluded similar changes in pH and acidity of stored citrus juice.
According to them this may be because of the natural buffer medium including potassium
citrates and malates in orange juices.
Titratable acidity is a measure of the total acid present in juice. Citric acid is the major acid in
orange juice but there are also small amounts of malic acid and tartaric acid. The total acid may
not be measured by pH because the acids concerned are “weak acids” and not completely
ionized. The acid content was therefore measured using a titration with sodium hydroxide.
Untreated fruits showed a decline in TA that was significantly overcome by the coatings of
selected essential oils. Minimum change in TA with respect to the control was observed in
samples treated with T. captivum essential oil, followed by F. vulgare and E. caryophyllata. Our
results are in line with the findings of Elshiekh and Abu-Goukh (2008), who found that TA
increased slightly during the first fifteen days of the storage and then progressively decreased in
all fruits. Similar findings were recorded in a study conducted by Ali et al. (2011) who revealed
that the TA decreased at a slow rate with the chitosan coatings, regardless of storage time.
Decrease in TA with time is due to the utilization of acids as respiratory material or their
conversion into sugars that can be further utilized in metabolic process of fruits (Faasema et al.,
2011). In another study of Tzortzakis (2007) no significant change in titratable acidity and pH
was recorded in tomato and strawberry fruits treated with the essential oils of E. globulus and C.
zeylanicum.
Total soluble solids content is the amount of soluble solids such as sugar, salts, proteins, acids,
etc. present in an aqueous solution. In the current study, it was noted that total soluble solids
(TSS) increased with storage period. Control fruits showed higher TSS values than treated ones.
Least amount was recorded in fruits treated with essential oil of T. captivum, followed by E.
caryophyllata and F. vulgare essential oils. Previous workers have also reported similar increase
in TSS in citrus fruits during storage. Various treatments adopted by these workers decreased
TSS value significantly when compared to the control (Attia, 1995; Elshiekh and Abu-Goukh,
2008; Aborisade and Ajibade, 2010). During storage of citrus fruits, increase in TSS level is due
to the loss of moisture content which increases the concentration of TSS (Elshiekh and Abu-
Goukh, 2008). In contrast, Asghari-Marjanlo et al. (2009) reported no significant change in TSS
in treated fruits as compared to that in the control samples.
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Citrus is famous for its high ascorbic acid content. This is also a parameter to monitor fruit
freshness and postharvest fruit spoilage has also been found associated with losses in this
antioxidant compound (Sanusi et al., 2008). However, ascorbic acid is quite unstable and it
decomposes easily through both aerobic and anaerobic pathways (Fennema, 1977; Johnson et al.,
1995; Lee and Coates, 1999). Factors responsible for this degradation involves oxygen, heat,
light (Robertson and Samaniego, 1986), storage temperature and storage time (Fellers,
1988; Gordon and Samaniego-Esguerra, 1990). Present study also confirmed gradual losses in
ascorbic acid during storage. These losses were overcome by treating fruits with selected
essential oils. Minimum loss of ascorbic acid content was noticed in fruits treated with T.
captivum essential oil followed by E. caryophyllata and F. vulgare at highest tested
concentration and time i.e. 400µL L-1
for 20 minutes. During storage anaerobic degradation of
ascorbic acid occurs (Johnson et al., 1995; Solomon et al., 1995). This means that the essential oil
coating acted as an affective barrier against environmental factors like light, oxygen and
temperature thus it helped in reducing ascorbic acid losses due to these factors (Gordon, 2006).
The findings of Zamani-Zadeh et al. (2013) support these results, as they revealed that the T.
captivum and C. zeylanicum essential oil reduce the gray mold disease in strawberry fruit during
storage along with least losses in ascorbic acid content. They found that the loss of ascorbic acid
is due to the changes in the storage conditions including mold growth, changes in the storage
temperature and moisture, and other factors that can deteriorate the ascorbic acid content. It was
established that ascorbic acid destruction may be due to the cell wall break down by fungal
infection (Zamani-Zadeh et al., 2013).
This study concludes the possible use of T. captivum, E. caryophyllata and F. vulgare essential
oils and their constituents against postharvest decay especially caused by P. italicum and quality
preservation in citrus during storage. However, one should keep in view their effect on human
health and environment. As far as top most effective essential oil component found in this study
i.e., thymol is concerned, US environmental protection agency EPA in 2009 have confirmed that
thymol has minimal potential toxicity. Also it has been documented that thymol naturally
degrades very quickly thus has low ecological risks (Hu and Coats, 2008). On the other hand,
eugenol that stood second in its potential to inhibit tested fungi has been reported as a
hepatotoxic compound and is also known to cause some allergies (Fujisawa et al., 2002).
Conversely it is being used in perfumeries, flavoring and in medicines as a local antiseptic and
148
anaesthetic (Jadhav et al., 2004). Similarly anethole that significantly helped in quality
preservation and control against fungal decay in stored mandarins also has few reports for its
carcinogenic activity and liver toxicity (Newberne et al., 1989). However, currently the data is
not sufficient to support these findings and Joint FAO/WHO Expert Committee on Food
Additives (JECFA) has confirmed that anethole is safe to be used as flavoring agents (JECFA,
2001). Keeping in view the antifungal potential and safety concerns about these essential oil
components, the present study recommends use of T. captivum essential oil and its active
components as thymol in controlling postharvest decay in citrus.
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CONCLUSIONS AND FUTURE PROSPECTS
CONCLUSION
This study concludes the possible use of essential oils from selected sources in reducing
postharvest losses caused by fungal decay in perishables especially fruits like citrus. Among the
ten selected essential oils T. captivum essential oil proved as most effective source of antifungal
components as thymol that should be exploited in future for development of an ecologically safe,
shelf life enhancer against fungal deterioration in citrus during storage.
FUTURE PROSPECTS
Despite all documented advantages, much work remains to be done on the detailed
examination of the biological activity, mode of action and dispersion of essential oils and
their components in fruit tissues to develop a formulation that maintains fungicidal
activity without causing undesirable effects to the product, human health and
environment.
More studies are required to establish the safety and toxicity levels of the essential oils
found effective against targeted microbes. The minimum inhibitory concentrations have
also to be determined for each specific essential oil and its components and commodity.
Combination of essential oils from different sources can provide a better control over
their individual use that needs an extensive study.
As essential oils do not fill such a broad spectrum as synthetic pesticides, there is a need
to improve their effectiveness by using them in combination with effective preharvest,
harvest and postharvest techniques, carefully designed packaging and low temperature
storage.
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INTERNATIONAL JOURNAL OF AGRICULTURE & BIOLOGY
ISSN Print: 1560–8530; ISSN Online: 1814–9596
13S–004/2013/15–6–1283–1288
http://www.fspublishers.org
Full Length Article
To cite this paper: Akhtar, N., T. Anjum and R. Jabeen, 2013. Isolation and identification of storage fungi from citrus sampled from major growing areas of Punjab, Pakistan. Int. J. Agric. Biol., 15: 1283‒1288
Isolation and Identification of Storage Fungi from Citrus Sampled from
Major Growing areas of Punjab, Pakistan
Nosheen Akhtar1, Tehmina Anjum
1* and Rasheda Jabeen
1
1Institute of Agricultural Sciences, Quaid-e-Azam Campus, University of the Punjab, Lahore-54590, Pakistan
*For Correspondence: [email protected]
Abstract
Stored citrus fruits were collected from cold storage houses of major citrus growing areas of the Punjab, Pakistan and storage
fungi were isolated from the sampled fruits. The fungal isolates were identified as Aspergillus niger, A. flavus, A. fumigatus, A.
terreus, Penicillium verrucosum, Rhizopus arrhizus, R. stolonifer, A. parasiticum, Fusarium oxysporum, P. citrinum, A.
awamorii, Alternaria alternata, F. solani and Mucor sp. based on morphological characteristics. The frequency of occurrence
of each fungal species was determined; P. italicum was found the most frequent with the highest occurrence of 29.75%
among all isolates, followed by the A. niger (14.87%), while Dreshlera sp. having the least occurrence (0.82%). Hence, P.
italicum was chosen for the molecular characterization among its different geographically distinct isolates through random
amplified polymorphic DNA (RAPD) technique. The UPGMA based dendrogram showed three distinct groups, which
coincide with the geographical locations from where the isolates were collected. The total variation of 23% among the isolates
confirmed that the isolates are of the same species and the source of variation can be due to the environmental factors. The
variation can also be contributed by switching off and switching on of some genes under certain environmental conditions. ©
2013 Friends Science Publishers
Keywords: Citrus; Fungi; Penicillium italicum; RAPD; Random primers
Introduction
Citrus is one of the most important winter fruit crops of the
world and has grown commercially in more than 100
countries across six continents (Terol et al., 2007). They
contain several phytochemicals including vitamin C with
disease preventing and life sustaining functions (Dillard and
German, 2000). Pakistan is ranked 10th in citrus production
worldwide (Sabir et al., 2010). Moreover, huge economic
losses occur throughout the world due to post harvest
diseases. In Pakistan, about 40% of total citrus produced is
wasted during storage in post-harvest process (Naseer,
2010), and is frequently reduced by fungal pathogens attack
(Liu et al., 2007). Storage fungi can reduce the shelf life and
acceptability of fresh produce.
Blue mold, caused by Penicillium italicum, is
generally severe postharvest disease of citrus, which costs
the loss up to 25% of the total production worldwide (Palou
et al., 2007; Montesinos-Herrero et al., 2009). Mold growth
in citrus fruit leads to the production of the hazardous
mycotoxins (Moss, 2008). Taxonomic relationships of
fungal species have been clarified by applying many
phenotypic and genotypic approaches (Varga et al., 2000).
The molecular markers including biochemical protein
markers and DNA markers are extremely valuable tools for
weighing genetic similarity and determining species
individualities. Among the DNA molecular markers,
random amplified polymorphic DNA (RAPD) typically are
more eminent due to high variability and reproducibility
with an added advantage of no prior knowledge of DNA
sequence for the fingerprinting of any genomic DNA.
Analysis of genetic diversity among closely related species
is crucial step towards understanding the fungal populations.
The objectives of this investigation were to
characterize storage fungi isolated from stored citrus fruit of
different storage houses in Punjab using morphological
characteristics and to find the most occurring storage fungi
among the storage fungi and to assess the diversity among
these isolates through RAPD-PCR technique to show
genetic variability within and between these isolates.
Materials and Methods
Sample Collection
Samples of citrus fruits were collected from different cold
storage houses in eight major citrus growing areas of
Province Punjab, Pakistan. These samples were placed in
separate sterile plastic bags; transferred to the laboratory and
kept in refrigerator at 4oC till further analysis. These regions
were selected on the basis of their fruit production
importance.
Akhtar et al. / Int. J. Agric. Biol., Vol. 15, No. 6, 2013
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Isolation and Identification of Storage Fungi
Isolation of storage fungi from each of the collected fruit
sample was carried out by using the technique of Baiyewu
et al. (2007). A small portion of disease tissue were cut with
sterile scalpel and placed on previously prepared Malt
extract agar and Potato dextrose agar medium plates and
incubated at 25±1oC for 7 days. The developing fungal
colonies were counted to calculate percentage frequency
and further characterized on morphological basis by using
the most documented keys and literature for fungal
identification (Samson and Varga, 2007). Percentage
frequency of individual isolated fungal species was
determined by using the method described by Giridher and
Ready (1997) as:
( )
Finding Genetic variation in all Isolates
According to the percentage of occurrence, P. italicum was
selected for genetic analysis as a most abundant blue mold
fungus on citrus during storage. Genetic variation of eight
morphologically similar but geographically distinct P.
italicum isolates was carried out using RAPD analysis.
DNA Extraction
The total genomic DNA was extracted by using CTAB
method (Doyle and Doyle, 1991) form the fungal mat and
ground to fine powder with Fermentas glass beads. The
freshly prepared pre-warmed (65ºC) extraction solution was
added to the powdered fungal mass in new autoclaved
Eppendorf (1.5 mL) tubes and incubated at 65ºC. An equal
volume of solution Choloform isoamyl alcohol (24:1) was
added and centrifuged at 10,000 × g to separate the phases.
Aqueous supernatants were transferred to new tubes and 2⁄3
volume of cold isopropanol was added. The sample was
centrifuged and transparent DNA pellets were obtained.
After washing, the pellets were air dried and resuspended in
50 µL of Tris HCl EDTA (TE) buffer.
Estimation of Quantity and Quality of DNA
The quantity and quality of extracted DNA was determined
by Techne Spec gene Spectrophotometer (140801-2, UK).
The concentration was calculated on assumption that
absorbance of 1 at 260 nm is equivalent to 50 mg⁄mL double
stranded DNA or 40 mg⁄mL single stranded DNA
(Sambrook et al., 1989). The quantity of DNA was
calculated by the following equation:
DNA Con (µg/mL) ═ Absorbance at 260 nm ×Dilution factor ×50
The quality of the DNA was also estimated through
1% agarose gel electrophoresis in which DNA bands were
compared with the 1kb DNA markers showing the
concentrations of DNA in ng/µL. Hence, the DNA
concentration was maintained to 25 ng/µL for polymerase
chain reaction (PCR) amplifications.
Random Amplification of Polymorphic DNA Analysis
The RAPD analysis is a valuable tool for studying DNA
polymorphism in different fungal isolates for exploring
phylogenetic relationships among them. RAPD analysis was
carried out by following the method described by
Ranganath et al. (2002).
Random Primer Screening
A set of 20 primers procured from School of Biological
Sciences (SBS) Genetech Co. Ltd-Beijing, China were used
in RAPD analysis for the initial screening (Table 1).
Majority of these primers produced clear, distinct and
reproducible polymorphic bands in different isolates of P.
italicum. The primers were diluted up to 100 picomole
concentration before use in RAPD analysis. PCR reactions
were carried out in 25 µL volume containing PCR Buffer
(10X), 2.5 mM MgCl2, 0.2 mM of each dNTP, and 0.6 U
DNA polymerase (Enzynomics, Korea). PCR conditions
and separation of RAPD-PCR fragments were done
according to Messner et al. (1994). The amplifications were
carried out in Techne-412 thermal cycler with temperature
profile as initial denaturation at 94ºC for 5 min and then
primers were subjected for denaturation at 94ºC for 1 min,
annealing at 25ºC for 1 min and final extension at 72ºC for 5
min to a total of 40 cycles.
Statistical Analysis
RAPD profiles were recorded by visually comparing RAPD
amplification profiles and scoring the presence or absence
of each band for each primer (Halmschlager et al., 1994).
The bands obtained from 2% agarose gel electrophoresis
were combined in a binary matrix in two - discrete -
characters - matrix (0 and 1 for absence and presence of
RAPD – markers, respectively). In order to assess over all
distribution of genetic diversity, data was analyzed by using
MINITAB software (MINITAB, 2004).
Results
In the present study, different fungi associated with the
deterioration of citrus fruit during cold storage were isolated
from the collected fruit samples. A total of sixteen fungal
species belonging to seven different genera included were
isolated and identified on the basis of their cultural and
morphological characteristics which are revealed in detail in
Table 1. The frequency of occurrence of each isolate of
fungi which showed that P. italicum was the most
frequently isolated fungus with the highest occurrence of
29.75% among all isolates, followed by the Aspergillus
niger (14.87%), A. flavus (9.09%), A. fumigatus (7.43%),
A. terreus and P. verrucosum (5.78%), Rhizo pus arrhizus
(4.95%), R. stolonifer (4.13%), A. parasiticus and Fusarium
Identification of Storage Fungi Isolated from Stored Citrus Fruit / Int. J. Agric. Biol., Vol. 15, No. 6, 2013
1285
oxysporum (3.3%), P. citrinum, A. awamorii and Alternaria
alternata (2.47%), F. solani and Mucor sp. (1.65%) with
Dreshlera sp. having the least occurrence of 0.82% (Table
2).
The morphological characteristics of P. italicum such as colonies on Malt Extract Agar (MEA) medium were 5-6
cm in diameter after 7 days. The colonies were bluish green in color with velvety and floccose and reverse side of the
colony is yellow to brown. The microscopic characteristics
such as septate and hyaline hyphae; conidiophores smooth
walled and conidia ellipsoidal to cylindrical in shape smooth walled and blue in color were observed. The
cultural and microscopic characteristics of P. italicum seen
in the present study were correlated to those as described by
Singh et al. (1991).
Eight geographically distinct isolates of P. italicum
were collected during this study and subjected to further
characterization by using RAPD-PCR technique (Table 3). A
total of 20 RAPD decamers (Table 4) were used for testing
the genetic variability among eight isolates of P. italicum of
which two primers (Primer SBSA08 and SBSA15) did not
show any amplification and hence dropped in the initial
screening of the random primers. Remaining 18 random
primers produced easily scorable and reproducible banding
patterns, which were designated in genetic coefficient matrix
in Minitab 16 software for further analysis. Total amplified
polymorphic bands ranged from approximately 200 bp to
2000 bp sizes in the RAPD profile. There was a low
percentage of polymorphism in different isolates of P.
italicum. The most probable reason is that the isolates are of
single species, which was correspondingly seen by their similar morphology. The average number of polymorphic bands perceived per primer was 8.22. The RAPD profiles
produced with the primers (SBSA06, SBSA07, SBSA11,
SBSA12, SBSA13, and SBSA18) and banding pattern are
shown in Fig. 1. The ladder 100 bp was run as markers on
Table 1: Morphological Characteristics of Different Storage Fungi Isolated from Stored Citrus Fruit
Name of fungus Colony diameter Colony Texture Obverse Reverse Character of hyphae conidiophore conidia
Penicillium italicum
5-6 cm bluish green
yellow brown
septate, hyaline smooth walled ellipsoidal to cylindrical
Penicillium
verrucosum
2.5-3.5 cm velvety or
almost floccose
grey green yellowish
brown
septate, hyaline two-stage branched,
rough walled
globose to subglobose
Penicillium
citrinum
2-3 cm blue green bright
yellow
septate, hyaline smooth walled,
matulae and phailides
present
globose to subglobose,
sooth walled
Aspergillus
niger
5-6 cm powdery black Off-white conidial head radiate,
conidia matulae and
phailides present
broad, long, thick
walled, brownish
globose , irregularly
roughened,
Aspergillus
flavus
6-7 cm powdery yellow
green
Pale brown conidial head radiate, hyaline, long, rough
walled,
globose to subglobose,
finely roughened to echinulate
Aspergillus
fumigatus
7 cm bluish
green
Greyish Vesicle pyriform,
uniseriate
clavate vesicle, thick
walled
Smooth, globose to
subglobose Aspergillus
terreus
6-7 cm velvety or
almost floccose
orange
brown to
brown
uncolored matulae present, conidial
heads columnar,
smooth walled,
hyaline, with
hemispherical vesicle
globose to slightly
ellipsoidal, smooth
walled Aspergillus
awamorii
5-6cm green green matulae and phailides
present
smooth walled,
vesicle subglobose
cylindrical to ellipsoidal,
coarsely roughened
Aspergillus parasiticus
5-6 cm green colorless Uniseriate, vesicle spherical
roughened, matulae absent
echinulate and coarsely spiny
Rhizopus
arrhizus
cottony white brown Hyphae branched and
aseptate, rhizoids present
sporangiophore short,
columella globose
spoangiospores ovoid to
more or less globose, dark in color
Rhizopus
stolonifer
fluffy greyish yellow
brown
columella subglobose to
oval
sporangiophore
subglobose rigid,
sporangia pale to brown,
straight, sporangiospore
thick walled
Mucor sp. full plate cottony white to
yellow
Brownish Columella obovoid,
ellipsoidal, with truncate base
Sporangiophore short
branches, recurved and encrusted wall
Sporangia brownish to
grey, spores ellipsoidal to subglobose
Fusarium
oxysporum
4.6-6.5 cm sparce to
floccose
white purple Macroconidia present septate, fusiform,
moderately curved, pointed at both ends
Fusarium
solani
4.5-6.5 floccose whitish cream macroconidia present curved, short, with blunt
apical and pedicellate basal cells
Alternaria
alternata
6-7 cm dark brown
blackish,
Hyphae branched and
septate, brown in color
conidiophore simple,
straight and curved
conidia formed in long
chain, ovoid, obclavate and dark brown in color
Dreshlera sp. 4-5.5 cm dark brown
to black
yellow to
brown
conidiophore , conidia simple and branched Cylindrical or ellipsoidal,
septate with round ends.
Akhtar et al. / Int. J. Agric. Biol., Vol. 15, No. 6, 2013
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both sides along with the negative control in which only
water was used instead of DNA that indicates the credibility
of the reaction mixture having no amplified band.
A dendogram based on UPGMA analysis indicated
that the eight isolates formed three major groups GI, G2 and
G3 confirming some level of genetic variation among the
isolates of P. italicum (Fig. 2). The similarity coefficient
ranged from 0 to 0.23 indicating that there is no 100%
similarity occurs among any two isolates. Group 1 was
further divided in to three subgroups containing five isolates
naming Pi Lhr, Pi Mul, Pi Jhg, Pi Bhk and Pi Sdg. G2
consisted of two isolates, Pi Fsd and Pi Chn while G3
consisted of only one isolate, Pi Sh.
The first subgroup consisted of two isolates collected
from Lahore and Multan, which were 3% distant from each
other while this subgroup is 9% distant from the second
subgroup containing two isolates collected from Jhang and
Bhakar regions of Punjab. There is much similarity seen in
isolates collected from Jhang and Bhakar, which are 1%
distant from each other. This subgroup was 5% distant from
the third subgroup which contained only one isolate
collected from Sargodha cold storage house. G2 is 2%
distant from G1, while G3 was 4% and 6% distant from G1
and G2, respectively.
Discussion
This study showed that a number of storage fungi of genera
Aspergillus, Penicillium, Rhizopus, Fusarium, Alternaria,
Dreschlera, and Mucor are associated with the spoilage and
loss of citrus fruit during storage in Pakistan. The most
abundant of all these fungi was P. italicum. Several
Penicillium species were frequently established on citrus
fruits and cause storage rot commonly referred as blue and
green mold (Filtenborg et al., 1996). Bukar et al. (2009)
who reported that six genera of fungi namely Penicillium
sp., Aspergillus sp., Fusarium sp., Rhizopus sp., Alternaria
sp. and Mucor sp. were associated with massive
deterioration of citrus fruit. Similarly, Niji et al. (1997)
reported that A. niger was associated with the decay of
citrus fruit. P. digitatum, R. stolonifer and A. niger have also
Table 4: Random twenty decamers used in initial screening, their accessions, sequences, number of polymorphic bands,
percentage of polymorphic products and size of bands produced by each primer
Name Sequence ( 5'- 3' ) nmol Total no. of Bands No. of poly morphic bands %age of polymorphic bands Size of bands (bp)
SBSA01 CAG GCC CTT C 111.3 40 11 28% 250-1000
SBSA02 TGC CGA GCT G 108.4 39 7 17% 200-1500 SBSA03 AGT CAG CCA G 110.1 39 15 38% 200-700
SBSA04 AAT CGG GCT G 107.6 45 10 7% 300-1000
SBSA05 AGG GGT CTT G 106.5 29 5 17% 300-900 SBSA06 GGT CCC TGA C 109.9 37 5 14% 200-1200
SBSA07 GAA ACG GGT G 105.9 34 13 38% 400-1800
SBSA09 GGG TAA CGC C 108.1 46 6 13% 200-1400 SBSA10 GTG ATC GCA G 107.6 39 15 38% 270-1500
SBSA11 CAA TCG CCG T 110.4 41 9 22% 200-1600 SBSA12 TCG GCG ATA G 107.6 42 18 43% 400-1900
SBSA13 CAG CAC CCA C 112.2 63 7 11% 340-2000
SBSA14 TCT GTG CTG G 108.2 14 6 43% 350-800 SBSA16 AGC CAG CGA A 108.3 10 2 20% 300-1500
SBSA17 GAC CGC TTG T 109.3 11 3 27% 900-1500
SBSA18 ACG TGA CCG T 107.6 50 2 4% 200-1400 SBSA19 CAA ACG TCG G 108.7 47 7 15% 250-1100
SBSA20 GTT GCG ATC C 109.3 45 5 11% 200-1100
Table 2: Frequency of occurrence of fungi isolated from
stored citrus fruit
Fungi isolated % Frequency of occurrence
Penicillium italicum 29.75
P. verrucosum 5.78 P. citrinum 2.47
Aspergillus niger 14.87
A. flavus 9.09 A. fumigatus 7.43
A. terreus 5.78
A. awamorii 2.47 A. parasiticus 3.3
Rhizopus arrhizus 4.95
R. stolonifer 4.13 Mucor sp. 1.65
Fusarium oxysporum 3.3
F. solani 1.65 Alternaria alternata 2.47
Dreshlera sp. 0.82
Table 3: Qualitative and quantitative spectrophotometric
analysis of extracted DNA
P. italicum isolates
Spectrophotometric reading of Extracted DNA
Ratio 260/280
Conc. of Extracted DNA (µg/ml)
at 260 nm at 280 nm
Pi. Lhr 1.504 1.332 1.13 60 Pi Mul 0.812 0.866 0.94 29
Pi Fsd 0.046 0.056 0.82 1.0
Pi Chn 1.479 1.303 1.13 59 Pi Jhg 0.084 0.080 1.04 3.0
Pi Bhk 0.163 0.175 0.93 6.0
Pi Sh 0.001 0.001 1.00 4.5 Pi Sgd 0.123 0.117 1.06 5.0
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been isolated from orange fruits (Akintobi et al., 2011). Al-
Hindi et al. (2011), showed that more than 90% of citrus
fruit were under fungal decay. Numbers of Aspergillus species have been reported such as A. niger, A. fumigatus,
A. nidulans, A. variecolour and A. candidus. Fusarium spp
were also the most commonly associated fungi in citrus fruits
(Tournas and Katsoudas, 2005).
The morphological characteristics of P. italicum of the
lab cultured isolates collected from different citrus
producing districts of Punjab in Pakistan were closely
related. This morphological study was not sufficient in
examining the diversity among these isolates. Therefore,
with the advent of modern approaches including molecular
and genetic marker studies, these isolates were further
characterized by the RAPD fingerprinting technique.
Dupont et al. (1999) reported that the molecular markers
reveal comparatively significant level of similarities among
twelve Penicillium species whereas morphological
characterization exhibited moderate level of similarities.
Variations on genetic material cannot be studied
morphologically, while RAPD technique may overcome
such type of problems and is very effective for microbial
species characterizations (Tiwari et al., 2011). The results
shown in dendogram are completely compatible with the
geographical locations and belts from where the isolates
have been collected. Lahore and Multan are distant but
fall in the same belt in citrus producing areas of the
Punjab. Lahore, Multan, Bhakar, Jhang and Sargodha fall
in the same geographical belt, whereas Chiniot and
Faisalabad render a separate region. Consequently the
collected isolates from different regions form distinct
groups showing a range of variability as seen by
UPGMA results. Sahiwal being more close to southern
Punjab showed more variation i.e., 23% compared to
other isolates. Here another point of concern cannot be
negated that the mutation frequencies fluctuate
considerably along the genomic nucleotide sequences such
that mutations focus at certain positions called hotspots.
Mutation hotspots in DNA reflect the effect of the
environmental factors in which the organism prevail
(Rozin and Pavlov, 2003). These mutations are largely due
to the point mutations, insertions, deletions, inversions
and translocations in the chromosomes, which cause the
variability in the genome that is easily detected through
the fingerprinting process using various molecular
marker tools such as RAPD.
The citrus producing belt is in extreme danger from P.
italicum due to its most occurrences in storage conditions.
Therefore, suitable integrated control measure should be
taken to reduce this threat. Most probably the bio-control
measures are more efficient, environmental safe and cost
effective in a country like Pakistan. Accordingly, the future
studies should be focused on the use of environmentally
safer control measures.
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Fig. 1: RAPD profile of eight isolates (1-8 shown in Table
3) of P. italicum produced by random primers (SBSA06,
SBSA07, SBSA11, SBSA12, SBSA13, and SBSA18.
Molecular weight markers (M in bps) are indicated on the
both sides (100 bp DNA ladder, cat # DM001), -ve sign
shows the well with negative control in PCR reaction
Fig. 2: UPGMA cluster analysis based dendogram
depicting the genetic relationship among different P.
italicum isolates
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Baiyewu, R.A., N.A. Amusa, O.A. Ayoola and O.O. Babalola, 2007.
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Dupont, J., S. Magnin, A. Marti and M. Brousse, 1999. Molecular tools for identification of Penicillium starter cultures used in the food industry.
Int. J. Food Microbiol., 49: 109–118
Filtenborg, O., J.C. Frisvad and U. Thrane, 1996. Moulds in food spoliage. Int. J. Food Microbiol., 33: 85–102
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(Received 10 March 2013; Accepted 24 August 2013)
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© 2012 Anjum and Akhtar.; licensee InTech. This is an open access chapter distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Antifungal Activity of Essential Oils Extracted From Clove, Cumin and Cinnamon Against Blue Mold Disease on Citrus FruitTehmina Anjum* and Nosheen Akhtar
Institute of Agricultural Sciences, Quaid-e-Azam Campus, University of the Punjab, Lahore, Pakistan * Corresponding author, Tel.: +92-42-99231846; fax: +92-42-99231187
Email: [email protected]
Abstract
Essential oils obtained from Cumin seeds, Clove buds and Cinnamon bark was checked for their antifungal potentials against Penicillium italicum, causal agent of blue mold disease in citrus fruit. Selected essential oils were checked in different concentrations of 3, 6, 12, 24 and 48µl/ml for their ability to inhibit the mycelial growth of the test fungi. The in vitro study revealed that the essen-tial oils of cumin and clove have the potential to inhibit mycelial growth of test fungi completely at concentrations of 12 and 48µl/ml, respectively. Essential oil of cinnamon, however failed to completely inhibit the mycelial growth even at maximum used concentration of 48µl/ml. In vivo assays also supported these results. Clove and cumin oils showed complete fungal inhibition at concentration of 24 and 48µl/ml, respectively when applied on citrus fruits. Whereas, cinnamon essential oil could not stop fungal infection even at its highest tested concentration. The study was extended to chemical identification of tested essential oils through GC-MS.
Keywords: essential oils, citrus, Penicillium itallicum, antifungal activity
1. IntroductionFungi cause significant losses in almost all perishables due to post harvest rots. One of these fungi is Penicillium italicum Whemer (blue mold) that results in a universal post-harvest disease of almost all kinds of citrus fruit[1]. Chemicals imazalil, sodium ortho-phenyl phenate, and thia-bendazole, have been widely used to control this problem [2]. However increase in public concern regarding contamination of perishables with fungicidal residues and proliferation of resistance in the pathogenic population [3] has forced the community to search for environment safe strate-gies. In the past few years, there has been a huge increase in the search of natural substances such as essential oils and plant extracts as potential antifungal agents [4]. The use of essential oils to control post-harvest fruit diseases have been deeply investigated and is well documented since the volatile compounds may have better applicability as fumigants for control [5]. In the present work, it has been therefore thought desirable to discover the antifungal potencies of essential oils extracted from three different plants against P. italicum, a dominant mycotoxin producing fungi during citrus storage.
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2. Methodology
2.1. Test Fungi
The strain of Penicillium italicum used in this study was isolated from the decaying citrus fruit (variety: Mandarin). The fungal culture was maintained on Malt Extract Agar (MEA) medium at 4±1oC. A 7-14 days old culture of the isolate was used as the source of inoculum and for the preparation of spore suspension for various studies. The spores were removed from the surface of the culture, suspended in 5 ml of sterile distilled water containing 0.05% (v/v) Tween 80 and its concentration was adjusted to 106sp/ml using a haemocytometer for further in vivo studies.
2.2. Extraction of Essential Oils
Seeds of cumin (Cuminum cyminum L.), clove buds [Syzygium aromaticum (L.) Merrill & Per-ry], and cinnamon bark (Cinnamomum verum J. Presl) were imperiled to hydrodistillation in a modified Clevenger apparatus for 3-4 hours. Isolated EOs were stored in glass after dehydrating with anhydrous sodium sulphate and were kept in the refrigerator at 4±1oC before use. Differ-ent concentrations of plant essential oils (Eos) were prepared by adding 3, 6, 12, 24 and 48 µl of pure Eos in 1 ml of 0.05% (v/v) Tween 80 in case of in vivo and 0.5% (v/v) Tween 80 in case of in vitro experiments.
2.3. In Vitro Antifungal Assay by Agar Dilution Method
Prepared concentrations of EOs were mixed with sterile molten MEA medium. Thirty milliliters of media containing different concentrations of EOs and 0.5% Tween 80 was poured into each petri plate which was then inoculated with test fungi and incubated for 7 days at 25±1°C.
2.4. In Vitro Volatile Assay to Check Antifungal Activity
In this method the MEA plates were first inoculated with test fungi and then pure extracted EOs in quantities of 3, 6, 12, 24, and 48 µl were applied on the surface of the sterilized filter paper, which was placed in the lid of the petri plate. After inoculation the plates were incubated in in-verted position for seven days at 25±1°C. The zone of inhibition was measured in two directions at right angles to each other. The percentage of mycelial growth inhibition by each essential oil concentration was calculated from the mean colony diameter (cm) on medium without essential oil amendment (control) and from the mean colony diameter (cm) on each essential oil amended plate (zone of growth).
2.5. In vivo antifungal assay
Fruits were sterilized with 6% sodium hypochlorite solution followed by immersion in sterile distilled water for two minutes and surface sterilization in 70% ethanol for another two minutes. Fruit was wounded (2-wounds per fruit) at the equatorial side with a sterile stainless steel scalpel where each wound was about 4 mm long and 2 mm deep. 15 µl of spore suspension was in-oculated into each wound using a micropipette under aseptic conditions. Two hours later, each wound was inoculated with a pre-determined concentration from each plant essential oil. Con-
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trol fruit was subjected to the same treatments except that sterile distilled water was used instead of essential oil. The treated fruits were labeled, placed in sterilized petri plates and incubated at 23±2 °C for two weeks to assess decay and fungal growth symptoms on daily basis.
2.6. Chemical identification of essential oils by GC-MS
Qualitative analysis of the tested essential oils was undertaken by gas chromatography-mass spectroscopy (GC-MS) using a Hewlett-Packard mass detector (model 7890) coupled with mass spectrometer selective detector 5975. Analysis was carried out using a column HP5 mass-selec-tive detector (MSD) (30 m x 0.25 mm; 0.25 µm film thickness), the operating conditions were as follows: Helium was the carrier gas at a flow rate of 1 ml/min. diluted samples (1:100 v/v, in methanol) of 1 µl were injected manually at temperature 250°C. NIST (National Institute of Stan-dards and Technologies) Mass Spectra Library was also used as a reference.
3. Results and Discussion
3.1. In vitro antifungal efficacy of essential oil
In vitro antifungal activity of selected oils were checked through two methods i.e., dilution method and the volatile method (Table 1). A little variation was observed in results of both the assays. In dilution method cumin oil gave best control on the mycelial growth of P. itali-cum as its lowest concentration of 3µl/ml gave 96% inhibition. This increased with increase in oil concentration and 12µl/ml completely inhibited the fungal growth. The results of cumin oil was followed by clove oil, whose lowest tested concentration i.e., 3µl/ml showed 84% mycelial growth inhibition. However, the complete inhibition of fungal growth was recorded at maximum tested concentration i.e., 48 µl/ml. Cinnamon gave the lowest effect among the three tested EOs.
In volatile method clove oil gave best control of P. italicum instead of cumin that showed highest inhibition of mycelial growth in dilution method perhaps because of high volatility of phenols that are abundantly present in clove essential oil. Clove oil in 3, 6 and 12µl/ml con-centrations gave 97% control on tested fungi. Increase in oil concentration of clove oil gave similar results as were recorded when the same oil was checked through dilution method. Complete inhibition of mycelial growth was observed at maximum tested concentration. In case of cumin the lowest tested concentration of 3µl/ml could only inhibit P. italicum up to 32% in contrast to its significant control of 96% recorded in dilution method. Concentration increased the inhibition percentage up to 98-99%. Romagnoli et al.,[6] reported a strong anti-fungal activity against dermatophytes and phytopathogens including fungi and yeast. They also found cumin aldehyde, pinenes, and p-cymene, and a fraction of oxygenate compounds such as alcohol and epoxides as the most active ingredients of cumin essential oil. Cinnamon oil also depicted better control on tested fungi in volatile method when compared to the dilu-tion method perhaps because it is also rich in volatile phenols live clove essential oil. How-ever, still the inhibition effect of cinnamon essential oil failed to match with the controlling capacity of other two tested oils.
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Essential
Oils
Concen-
trations
(µl/ml)
Average colony diameter of P. italicum
(cm)
Inhibition of mycelial growth
of P. italicum (%)
Dilution Method Volatile Method Dilution MethodVolatile
Method
Control 0 6.666+1.7a 5.66+0.83a 0.0+0.0g 0.0+0.0g
Cumin 3 0.266+0.03de 3.83+0.09bc 96+8.3a 32.33+7.1e
6 0.1+0.07e 1.76+0.03e 98.49+13a 68.9+9.4b
12 0.0+0.0g 0.066+0.02g 100+0a 98.83+13a
24 0.0+0.0g 0.1+0.07f 100+0a 98.23+7.5a
48 0.0+0.0g 0.066+0.03g 100+0a 98.83+3.9a
Clove 3 1.066+0.05c 0.166+0.08f 84+6.2b 97.06+19a
6 0.733+0.09d 0.166+0.05f 89+11b 97.06+3.7a
12 0.333+0.04d 0.166+0.09f 95+8.6ab 97.06+6.7a
24 0.066+0.03f 0.1+0.06f 99+14a 98.23+9.1a
48 0.0+0.0g 0.0+0.0h 100+0a 100+0.0a
Cinnamon 3 6.666+.74a 4.83+0.59b 0.0+0.0g 14.66+1.5f
6 6.333+1.04a 3.33+0.37cd 4.995+0.03f 41.16+9.5cd
12 6.166+0.07ab 3.5+0.83c 7.5+0.14e 38.16+6.2d
24 5.833+0.43b 3.66+0.51bc 12.496+0.37d 35.33+6.8de
48 4.5+0.21bc 3.166+0.09d 32.49+2.9c 44.06+5.7c
* Values are means (n=3). Mean values followed by different letters within the column are significantly dif-ferent according to Duncan Multiple Range Test (P<0.05).
Table 1. In vitro antifungal activity of plant essential oils, used at various concentrations, on mycelial growth
of Penicillium italicum*
3.2. In Vivo Antifungal Efficacy of selected Essential OilsThe results of in vivo antifungal efficacy indicated that all the three EOs had a good inhibitory effect on mycelial growth of P. italicum when tested on the surface of the citrus fruit. Yahyazadeh et al.,[7] revealed that essential oil can result in loss of pigmentation in fungal conidia as they became hyaline that may affect virulence of the pathogen; hence a decrease in the incidence of the infection.
Figure 1A, shows that clove essential oil exhibited most pronounced antifungal potentials against P. italicum as it completely inhibited the mycelial growth at concentration of 24µl/ml after 15 days of incubation. At concentration of 3µl/ml the inhibition of P. italicum was 62% and growth started at 4th day of inoculation. Increase in concentration to 6 and 12µl/ml increased fungal inhibition up to 79 and 93% respectively, and also the fungal growth on citrus fruit was delayed till 7th and 11th day.
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Fig 1. In vivo antifungal activity of A: Clove; B: Cumin; C: Cinnamon essential oils, used at various concentra-
tions, on mycelial growth of Penicillium italicum
Cumin oil showed complete inhibitory effect at concentration of 48µl/ml while cinnamon oil did not completely inhibit fungal progression even at its highest concentration when applied on citrus fruit. The minimal inhibitory effect of cumin and cinnamon essential oils at lowest tested concentration (3µl/ml) was 88.27 and 83.05 % respectively. Whereas, no significant difference was recorded in inhibitory effects caused by both the cumin and cinnamon essential oils used in higher concentrations of 6 – 48µl/ml.
The data presented in Fig. 1B indicated that cumin oil in concentrations of 3 and 6µl/ml resulted in the inhibition of 88.71 and 89.27% respectively and growth started from the 5th day of the inoculation. However the concentrations of 12 and 24µl/ml delayed the mycelial growth in citrus fruit till 6th and 7th day. While the data presented in Fig. 1C shows that the mycelial develop-ment of tested fungus was started from 3rd day of inoculation at all tested cinnamon oil concen-trations (3-48µl/ml) except the concentration of 24µl/ml that delayed the growth up to 5 days. These results depicted that the efficacy of clove essential oil during in vivo assays followed by that of cumin, whereas cinnamon oil showed least inhibitory effect.
In general, the results obtained from GC-MS analysis of the essential oils used were in accor-dance to the previous literature. Clove oil shows the presence of eugenol, alpha-terpineol, Iso-eugenol and beta-terpinene as its major components. Eugenol has been reported by different
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workers to be the most effective component of the clove and cinnamon EOs against various pathogens[8]. Vazquez et al.,[9] reported complete inhibition of P. citrinum by 2000 ppm of eu-genol in a liquid medium.
The major components found in cinnamon oil were eugenol and cinnamaldehyde, whereas cum-in oil revealed the presence of gamma-terpinen, cuminaldehyde and 4-carvomenthenol. Singh and Upadhayay[10] showed antifungal activity of Cuminaldehyde against Aspergillus flavus and Aspergillus niger. In a recent study Romagnoli et al.,[6] found cumin aldehyde, pinenes, and p-cymene, and a fraction of oxygenate compounds such as alcohol and epoxides as the most ac-tive ingredients of cumin essential oil.
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