kim_et_al-2016-journal_of_food_processing_and_preservation.pdf

Upload: tilahun-abera

Post on 02-Mar-2018

223 views

Category:

Documents


0 download

TRANSCRIPT

  • 7/26/2019 Kim_et_al-2016-Journal_of_Food_Processing_and_Preservation.pdf

    1/10

    FORMULATION OPTIMIZATION OF ANTIOXIDANT-RICH JUICEPOWDERS BASED ON EXPERIMENTAL MIXTURE DESIGNMI-BO KIM,1 JEONG-YEON KO2 and SANG-BIN LIM1,2,3

    1Jeju Wellbeing Vegetables RIS System, Jeju National University, Jeju 690-756, Republic of Korea

    2Department of Food Bioengineering, Jeju National University, Jeju 690-756, Republic of Korea

    3Corresponding author.

    TEL:1 82 64 754 3617;

    FAX:1 82 64 755 3601;

    EMAIL: [email protected]

    Received for Publication August 11, 2015

    Accepted for Publication January 26, 2016

    doi:10.1111/jfpp.12897

    ABSTRACT

    This study optimized the mixing ratio of broccoli (BroMP), cabbage (CabMP),

    and carrot-mixed powders (CarMP) for the development of juice powders con-

    taining high total phenolic content (TPC), high antioxidant activities, and prefer-

    able sensory properties using a mixture design. TPC and antioxidant activities of

    juice powders were increased with a higher proportion of BroMP and lower pro-

    portions of CabMP and CarMP. However, the overall acceptance was increased

    with a higher CarMP proportion and lower BroMP and CabMP proportions. The

    optimal mixing ratio was 67.4% BroMP, 16.7% CabMP, and 15.9% CarMP. Atthis ratio, the predicted response values of TPC, ABTS radical scavenging activity

    (IC50), FRAP activity, and overall acceptance were 9.51 mg GAE/g, 5.35lg/mL,

    81.3 mM FSE/g, and 4.62, respectively. The optimized mixed juice powder

    showed high sums of individual phenolic compounds, with chlorogenic acid

    (121.16 mg/100 g) and quercetin (71.74 mg/100 g) as the major phenolics.

    PRACTICAL APPLICATIONS

    Vegetable juice powder containing BroMP, CabMP, and CarMP can be utilized as

    a functional drink having high antioxidant activities and preferable sensory prop-

    erties. The optimized juice powder contained higher contents of individual phe-

    nolic compounds than those of the broccoli or cabbage powder. Thus, mixed

    vegetable powders can provide large amounts of diverse phenolic compoundsfrom different vegetable sources. The mixture design approach was found to be a

    suitable method for optimizing a healthy and delicious juice formulation, and can

    be effectively applied in other food mixture systems.

    INTRODUCTION

    Detoxification is defined as the physiological or medicinal

    elimination of toxic substances from the human body, and

    it promotes health and well-being as well as weight loss

    (Klein and Kiat 2014). Detox diets involve the use of diu-

    retics, laxatives, and cleansing foods and are recommendedfor individuals with toxin exposure, inflammation, gastro-

    intestinal disorders, autoimmune disease, and chronic

    fatigue syndrome (Klein and Kiat 2014). Vegetables and

    fruits are representative detox foods, contain biologically

    active antioxidants such as polyphenols, glucosinolates,

    carotenoids, vitamins (C, E), and minerals, produce detoxi-

    fying enzymes, and scavenge potentially mutagenic free rad-

    icals (Shimazuet al. 2014).

    Broccoli is an excellent detox food that aids toxin removal

    from cells and contains polyphenolic compounds and glu-

    cosinolates. These bioactive compounds support a detox

    process in the human body, including the neutralization

    and elimination of unwanted contaminants (Harris and

    Johnson 2012; Col 2013). Cabbage is also a major detoxfood that plays an important role in the elimination of

    potential carcinogens from the human body (Zulpa 2014).

    Carrot contains high levels of beta-carotene and fiber, which

    support the digestive tract to slough off toxins (Harris and

    Johnson 2012).

    Mixed vegetable juice powders are good sources of many

    biologically active antioxidative compounds and can provide

    large amounts of diverse phenolic compounds from different

    1Journal of Food Processing and Preservation00(2016) 0000VC 2016 Wiley Periodicals, Inc.

    Journal of Food Processing and Preservation ISSN 1745-4549

  • 7/26/2019 Kim_et_al-2016-Journal_of_Food_Processing_and_Preservation.pdf

    2/10

    vegetable sources (Wootton-Beard et al. 2011; Wootton-

    Beard and Ryan 2011). Antioxidant powder and microbial

    safety of fruit and vegetable juices can be improved by

    the processing. Total phenolics, DPPH, total antioxidant

    capacity, and total carotenoids of grapefruit juice were

    increased with the increase in pulsed electric strength (Aadil

    et al. 2015a). The quality of grapefruit juice was improvedwith the treatment of thermosonication by inactivating pec-

    tin methylesterase, peroxidase and polyphenolase, and micro-

    organisms (Aadil et al. 2015b). Growth of microbial flora

    during storage of apple, orange and strawberry juices treated

    with pulsed light was prohibited (Ferrarioet al. 2015).

    Dietary antioxidants are defined as substances that scav-

    enge reactive oxygen/nitrogen species and stop radical chain

    reactions. Cumulative biological exposure to antioxidants

    provides health benefits by preventing cardiovascular dis-

    ease, cancer, and age-related degeneration (Wootton-Beard

    and Ryan 2011; Yuanet al. 2013).

    A mixture design is an effective method for food product

    development and ingredient optimization to obtain the

    desired properties of food products. When several food

    ingredients are involved, it is difficult to determine their

    mixing ratio. A mixture design can be used to determine the

    optimal mixing ratio of ingredients that maximizes or mini-

    mizes the response level of the dependent variables (Jang

    et al. 2011; Tokeret al. 2013). Numerical and graphical anal-

    yses of a mixture design can easily be performed to select

    ingredient combinations that optimize the product proper-

    ties, and have been applied for various food products (Toker

    et al. 2013).

    Several studies are available regarding the development of

    food products using a mixture design. Kim et al. (2012)developed a citrus peel drink and Jang et al. (2011) devel-

    oped a salad dressing with a Chinese quince juice using a

    mixture design. Lawlesset al. (2013) also applied a mixture

    design for consumer optimization of black cherry, concord

    grape, and pomegranate juice blends. Mensah-Brown et al.

    (2014) produced a chocolate-flavored soy-peanut beverage

    with acceptable chemical and physicochemical properties,

    and Shibyet al. (2013) developed a whey-fruit-based energy

    drink using a mixture design.

    There are several commercial juices that consist of vegeta-

    bles and fruits, such as broccoli, cabbage, cauliflower, kale,

    beet, parsley, celery, onion, spinach, tomatoes, basil, aspara-

    gus, olive oil, carrot, cucumber, lime, strawberry, blueberry,apple, lemon, kale, beet, orange, ginger, and berries. Never-

    theless, they did not provide detailed information on the

    functional compounds and properties of the products. In

    addition, there are also no systematic studies on the devel-

    opment of antioxidant-rich juice powders using cruciferous

    vegetables (broccoli and cabbage) as major ingredients with

    high health-promoting properties and delicious formula-

    tions using a mixture design.

    The objective of this study was to optimize the mixing

    ratio of broccoli, cabbage, and carrot powders for the devel-

    opment of juice powders with large amounts of diverse phe-

    nolic compounds, high antioxidant activities, and favorable

    sensory preference using a mixture design.

    MATERIALS AND METHODS

    Materials and Chemical Reagents

    Broccoli, cabbage, carrot, tomato, and radish harvested in

    Jeju, Korea and apple harvested in Gyeongsangbuk-do,

    Korea were purchased in a local store in Jeju, Korea.

    Folin-Ciocalteus phenol reagent (2 M), sodium carbonate,

    gallic acid standard, 2,20-azino-bis-3-ethylbenzthiazoline-

    6-sulphonic acid (ABTS), trolox, and sodium acetate were

    purchased from SigmaAldrich (St. Louis, MO). Potassium

    persulfate was purchased from Daejung Chemicals, Ltd.

    (Gyeonggi-do, Korea). Compound 2,4,6-tripyridyl-s-triazine

    (TPTZ) was purchased from Santa Cruz Biotechnology, Inc.

    (Santa Cruz, CA). Ferric chloride hexahydrate was purchased

    from Junsei Chemical Co., Ltd. (Tokyo, Japan). Ferrous sul-

    fate heptahydrate was purchased from Wako Pure Chemicals

    Industries, Ltd. (Osaka, Japan). Acetic acid and hydrochloric

    acid were purchased from Oriental Chemical Industries

    (Incheon, Korea). All phenolic standards were purchased

    from Fluka (Steinheim, Switzerland) except for quercetin

    (Sigma, St. Louis, MO).

    Preparation of Vegetable and Fruit PowdersVegetables and fruit were sorted, washed, and cut into pieces

    approximately 23cm thick. They were blanched for 3 min in

    boiling water, cooled with cold tap water, spread on sieves to

    drain excess water, and freeze-dried using a deep freezer

    (SFDSM24L; Samwon Freezing Engineering Co., Gyeonggi-do,

    Korea). The freeze-dried samples were ground into a fine pow-

    der using a grinder (MF10 basic; IKA-Werke GmbH & Co. KG,

    Staufen, Germany) and passed through a 60-mesh sieve. The

    powdered samples were then stored in a freezer at -20C until

    needed.

    Juice powders were produced using different ratios of

    broccoli, cabbage, and carrot powders, as the major ingre-dients, and using a fixed ratio of apple, tomato, and radish

    powders, as the minor ingredients. Three representative

    powders were prepared based on preliminary preference

    tests as follows; broccoli mixed powder (BroMP; broccoli

    65%, apple 22.75%, tomato 8.75%, radish 3.50%), cabbage

    mixed powder (CabMP; cabbage 60%, apple 26%, tomato

    10%, radish 4%), and carrot-mixed powder (CarMP; carrot

    60%, apple 26%, tomato 10%, radish 4%).

    OPTIMIZATION OF JUICE POWDERS BY MIXTURE DESIGN M.-B. KIM, J.-Y. KO and S.-B. LIM

    2 Journal of Food Processing and Preservation00(2016) 0000VC 2016 Wiley Periodicals, Inc.

  • 7/26/2019 Kim_et_al-2016-Journal_of_Food_Processing_and_Preservation.pdf

    3/10

    Experimental Design of Juice Powders

    Experimental design and data analysis were performed using

    Design-Expert software (Trial version 9.0.3.1, Stat-Ease, Inc.,

    Minneapolis, MN). As independent variables, juice powders

    with 13 different ratios of BroMP, CabMP, and CarMP were

    formulated as shown in Table 1. Antioxidant components

    (total phenolic content, TPC), antioxidant activities [ABTS

    radical scavenging activity and ferric-ion reducing antioxi-

    dant power (FRAP)], and sensory attributes (overall accep-

    tance) were selected as dependent variables.

    Preparation of 80% Methanol Extracts

    for Antioxidant Activity and Individual

    Phenolics Assays

    Each mixed powder (1 g) was extracted using 80% aqueous

    methanol with stirring for 1 h at room temperature. Each

    extract was filtered through No. 5A filter paper (Advantec;

    Toyo Roshi Kaisha, Ltd., Tokyo, Japan) and evaporated in a

    rotary vacuum evaporator (Rotavapor R-124; BUCHI

    Labortechnik AG, Flawil, Switzerland) at 40C. The dried res-

    idue was dissolved in 20mL extraction solvent, and the solu-

    tion was stored at 4C for further analysis.

    Assay of Total Phenolic Content

    The TPC of each extract was determined using Folin-

    Ciocalteus method (Hwang and Lim 2014). A total of

    200 lL of the extract, 800 lL distilled water, and 100 lL 2 M

    Folin-Ciocalteu phenolic reagent were combined in a glass

    vial and mixed by vortexing. After 5 min in the dark, 300 lL

    20% NaCO3were added, and the solution was brought to a

    total volume of 2 mL with distilled water. This solution was

    incubated at room temperature in the dark for 2 h, and the

    absorbance was measured at 760nm using a Spectronic

    Genesys 2 spectrophotometer (Spectronic Instruments,

    Rochester, NY). TPC was expressed as mg gallic acid equiva-

    lents (GAE)/g dry weight of the extract.

    Assay of ABTS Radical Scavenging Activity

    ABTS radical scavenging activity of each extract was meas-

    ured as described previously with minor modifications

    (Thaipongaet al. 2006; Wootton-Beardet al. 2011). Briefly,

    ABTS solution was prepared by mixing 14 mM ABTS1

    solution and 4.9 mM potassium persulfate solution in equal

    quantities and incubated for 16 h at room temperature in

    the dark. This solution was diluted with ethanol to an

    absorbance of 0.76 0.03 at 750 nm using the Multiskan EX

    microplate reader (Thermo Electron Corp., Vantaa, Fin-

    land). Fresh ABTS solution was prepared for each assay. A

    total of 100 lL each extract (2, 4, 6, 8, and 10 lg/mL) was

    mixed with 900 lL ABTS solution and incubated at 30C for

    6 min, and the absorbance was measured at 750 nm using

    the Multiskan EX microplate reader (Thermo Electron

    Corp.). Ethanol and trolox (0.02, 0.04, 0.06, 0.08, and

    0.10 lg/mL) were used as the blank and standard, respec-

    tively. ABTS radical scavenging activity (IC50) was expressed

    as the concentration (lg/mL) of extract required to decrease

    50% of the initial ABTS radical concentration.

    Assay of Ferric Ion-ReducingAntioxidant Power

    The FRAP of each extract was measured as described previ-

    ously with minor modifications (Thaiponga et al. 2006;

    Wootton-Beard et al. 2011). The FRAP solution was pre-

    pared by mixing 300 mM acetate buffer (pH 3.6), 10 mM

    TPTZ solution (in 40 mM HCl), and 20 mM ferric chloride

    hexahydrate (FeCl36H2O) solution at a ratio of 10:1:1 (v/v),

    respectively. A total of 50 lL of each extract was mixed with

    150 lL distilled water and 1.5 mL FRAP solution. After incu-

    bating at 37C in a water bath for 10 min, the absorbance was

    measured at 620 nm using a Multiskan EX microplate reader

    (Thermo Electron Corp.). FRAP was expressed as mM

    ferrous sulfate equivalents (FSE)/g dry weight of the extract.

    Sensory Evaluation

    For the overall acceptance test, 18 g of each juice powder were

    added to 270 mL water, shaken vigorously for 30 sec, and then

    used for the tests. Sensory evaluation was performed by 30

    panels at the Department of Food Bioengineering, Jeju National

    University. A 9-point category scale was used for the overall

    acceptance test (15extremely dislike, 95extremely like).

    TABLE 1. MIXTURE DESIGN FOR ANTIOXIDANT-RICH JUICE POWDER

    AT DIFFERENT RATIOS OF BROCCOLI, CABBAGE, AND CARROT-MIXED

    POWDERS

    Standard Run

    Pseudo component Actual component

    A B C A (%) B (%) C (%)

    9 1 0.000 0.333 0.667 0.0 33.3 66.78 2 0.000 0.667 0.333 0.0 66.7 33.3

    12 3 0.167 0.167 0.667 16.7 16.7 66.7

    11 4 0.167 0.667 0.167 16.7 66.7 16.7

    7 5 0.333 0.000 0.667 33.3 0.0 66.7

    5 6 0.333 0.667 0.000 33.3 66.7 0.0

    10 7 0.667 0.167 0.167 66.7 16.7 16.7

    6 8 0.667 0.000 0.333 66.7 0.0 33.3

    4 9 0.667 0.333 0.000 66.7 33.3 0.0

    3 10 0.000 0.000 1.000 0.0 0.0 100

    2 11 0.000 1.000 0.000 0.0 100 0.0

    1 12 1.000 0.000 0.000 100 0.0 0.0

    13 13 0.333 0.333 0.333 33.3 33.3 33.3

    A, broccoli mixed powder; B, cabbage mixed powder; C, carrot-mixed

    powder.

    M.-B. KIM, J.-Y. KO and S.-B. LIM OPTIMIZATION OF JUICE POWDERS BY MIXTURE DESIGN

    3Journal of Food Processing and Preservation00(2016) 0000VC 2016 Wiley Periodicals, Inc.

  • 7/26/2019 Kim_et_al-2016-Journal_of_Food_Processing_and_Preservation.pdf

    4/10

    Optimization of the Mixing Ratio

    of Juice Powders

    The optimal mixing ratio of juice powders was determined

    based on numerical and graphical optimizations (Derringer

    and Suich 1980). Numerical optimization was performed by

    determining a goal area of each response of the model coef-ficients based on the canonical model. The overall desirabil-

    ity is a geometric mean of all transformed responses and is

    calculated based on the desirability of each response using

    the following equation:

    D5d13d23 3dn1=n5

    nYni51

    di

    o1 n=(1)

    whereDis the overall desirability, diis the individual desir-

    ability, andnis each response number.

    For numerical optimization, each response should have

    certain values assigned to each goal, such as maximum,

    minimum, target, or in range, and the overall desirabilitycalculated ranges from 0 to 1 (least to most desirable). For

    graphical optimization, the minimum and maximum of

    each response are indicated, and contour plots are superim-

    posed within the possible ranges, after which the best area is

    selected.

    Gas Chromatography/Mass Spectrometry

    (GC/MS) Analysis

    Individual phenolics were qualified and quantified using

    GC/MS (Kimet al. 2010). Acid hydrolysis of the extract was

    performed as follows: an aqueous solution of hydrochloricacid (3 M, 0.25 mL) was added to 0.5 mL extract. The mix-

    ture was maintained at 80C for 1 h. After cooling, 0.5 mL of

    potassium hydrogen phosphate (1 M) was added. Each phe-

    nolic compound was isolated by solid phase extraction on a

    C8 cartridge (WAT036780, Waters, Milford, MA). The car-

    tridge was preconditioned with ethyl acetate (3 mL), MeOH

    (3 mL), and distilled water (6 mL). The solvent in the car-

    tridge was dried under reduced pressure, and loaded slowly

    with acid-hydrolysed sample (0.5 mL). Thereafter, the phe-

    nolics retained in the cartridge were eluted with ethyl acetate

    (3 mL). A 2 mL extract was added internal standard, 3-(4-

    hydroxy-phenyl)-1-propanol (Sigma, St. Lousi, MO), and

    evaporated to dryness in a rotary vacuum evaporator at40C. Dried sample was derivatized by adding 0.25 mL of

    BSTFA (Supelco, Bellefonte, PA), followed by incubation at

    75C for 20 min. Each sample (1 lL) was injected into the

    GC/MS.

    An Agilent (Wallborn, Germany) series GC 6890N,

    coupled with an HP 5973 MS detector (EI, 70 eV) and an

    HP 7683 autosampler, was used for analysis of each phenolic

    compound. Analyses used an HP-5 MS capillary column

    (30m3 0.25 mm, 0.25 lm film thickness) at a split ratio of

    1:5. Helium was used as a carrier gas at a flow rate of

    0.6 mL/min. The injector and transfer line temperatures

    were set at 280C and 300C, respectively. The oven tempera-

    ture was held at 120C for 1 min, then increased to 220C at

    5C/min, then to 300C at 10C/min and held for 10 min.

    Chromatographic peaks were identified by comparing the

    retention times and three fragment ions of each phenolic

    compound with those of reference compounds.

    Statistical Analysis

    Statistical analyses were performed using SPSS version 18.0

    software (SPSS Inc., Chicago, IL). Significant differences

    (P< 0.05) among treatment means were determined based

    on Duncans multiple range test.

    RESULTS AND DISCUSSION

    Total Phenolic Contents of the

    Juice Powders

    The TPC of the juice powders were measured at 13 experi-

    mental points (Table 2). The TPCs range from 3.90 to

    12.76 mg GAE/g dry extract. The maximum TPC was

    observed at 100% BroMP, while the minimum TPC was

    observed at 100% CarMP. The TPC of the juice powders

    increased when a higher proportion of BroMP and a lower

    proportion of CarMP were used.

    Statistical analysis and the polynomial regression results

    for the TPC of the juice powders are presented in Table 3. A

    quadratic model was selected for the TPC, and the validity

    was indicated at P< 0.0001. Based on the analysis of the

    coefficients in the regression formula, the TPC was most

    affected by the proportion of BroMP in the juice powders.

    The effects of different proportions of each powder on

    the TPC were also expressed as the trace plot and response

    surface (Fig. 1). The TPC of the juice powders increased sig-

    nificantly as the proportion of BroMP increased (A-A line),

    and it increased gradually as the proportion of CarMP

    decreased (C-C line). The proportion of CabMP did not

    affect the TPC of the juice powders (B-B line).

    Antioxidant Activities of the Juice Powders

    The antioxidant activities of the juice powders were meas-

    ured as ABTS radical scavenging activity and FRAP activity

    (Table 2). The ABTS radical scavenging activities (IC50)

    ranged from 4.13 to 8.25 lg/mL, while the FRAP activities

    ranged from 38.65 to 119.49mM FSE/g dry extract. The

    maximum ABTS radical scavenging (lowest IC50value) and

    FRAP activities were observed with 100% BroMP. The

    OPTIMIZATION OF JUICE POWDERS BY MIXTURE DESIGN M.-B. KIM, J.-Y. KO and S.-B. LIM

    4 Journal of Food Processing and Preservation00(2016) 0000VC 2016 Wiley Periodicals, Inc.

  • 7/26/2019 Kim_et_al-2016-Journal_of_Food_Processing_and_Preservation.pdf

    5/10

    minimum ABTS radical scavenging activity (highest IC50value) was observed in the mixed powder consisting of

    33.3% CabMP and 66.7% CarMP, and the minimum FRAP

    activity was observed with 100% CarMP. ABTS radical scav-

    enging activity and FRAP activity of juice powders increased

    at a higher ratio of BroMP. When the ratios of CabMP and

    CarMP increased, the activities decreased.

    Statistical analysis and the polynomial regression

    model for the ABTS radical scavenging activities and

    FRAP activities of the juice powders are presented in

    TABLE 2. TOTAL PHENOL CONTENT (TPC), ABTS RADICAL SCAVENGING ACTIVITY, FERRIC ION- REDUCING ANTIOXIDANT POWER (FRAP)

    ACTIVITY, AND OVERALL ACCEPTANCE OF ANTIOXIDANT-RICH JUICE POWDERS AT DIFFERENT RATIOS OF BROCCOLI, CABBAGE, AND

    CARROT-MIXED POWDERS

    Standard Run TPC (mg GAE/g) ABTS (IC50, lg/mL) FRAP (mM FSE/g) Overall acceptance

    9 1 4.776 0.04b 8.256 0.43i 42.2062.30ab 5.6361.88bcd

    8 2 5.866 0.06cd 7.896 0.21hi 50.0263.06bc 4.6361.99abc

    12 3 5.596 0.12c 7.696 0.19h 43.7364.39ab 5.6761.67cd

    11 4 7.096 0.09f 6.956 0.37g 58.6463.02cd 4.5362.00abc

    7 5 6.076 0.14e 6.596 0.10fg 48.8167.48abc 5.4762.27abcd

    5 6 8.516 0.11g 5.886 0.08cd 71.1366.34ef 4.4761.96ab

    10 7 9.146 0.23h 5.556 0.46c 71.94610.65ef 4.7061.74abc

    6 8 8.496 0.25g 5.976 0.56cde 75.2463.80fg 4.7362.24abc

    4 9 9.916 0.42i 5.106 0.08b 85.1565.69g 4.3762.16a

    3 10 3.906 0.02a 8.226 0.03i 38.6568.19a 6.3761.59d

    2 11 7.046 0.14f 6.426 0.07ef 58.4063.44cd 4.3062.00a

    1 12 12.7660.48j 4.136 0.07a 119.496 8.13h 4.4362.22a

    13 13 7.406 0.05f 6.286 0.28def 63.9664.33de 4.7361.93abc

    *Values followed by different letters are significantly different (P

  • 7/26/2019 Kim_et_al-2016-Journal_of_Food_Processing_and_Preservation.pdf

    6/10

    Table 3. A linear model and a quadratic model were

    applied for the ABTS radical scavenging activity and the

    FRAP activity, respectively, and the validities were indi-

    cated atP< 0.0001. The ABTS radical scavenging activity

    (low IC50 value, low coefficient value) and FRAP activity

    were mostly dependent on the proportion of BroMP

    according to the analysis of coefficients in the regression

    formula.

    The trace plots and response surfaces (Figs. 2 and 3) showed

    that the ABTS radical scavenging activity and the FRAP activ-

    ities increased significantly as the proportion of BroMP

    increased (A-A line) and that of CarMP decreased (C-C line).

    The ABTS radical scavenging activity decreased slowly as the

    proportion of CabMP increased (B-B line), but the proportion

    of CabMP did not affect FRAP activity (B-B line). These trends

    were similar to those of the TPC.

    FIG. 2. TRACE PLOT AND RESPONSE SURFACE FOR ABTS RADICAL SCAVENGING ACTIVITY (IC 50VALUE) AT DIFFERENT RATIOS OF BROCCOLI (A),

    CABBAGE (B), AND CARROT (C) MIXED POWDERS

    FIG. 3. TRACE PLOT AND RESPONSE SURFACE FOR FERRIC ION-REDUCING ANTIOXIDANT POWER (FRAP) ACTIVITY AT DIFFERENT RATIOS OF BROC-

    COLI (A), CABBAGE (B), AND CARROT (C) MIXED POWDERS

    OPTIMIZATION OF JUICE POWDERS BY MIXTURE DESIGN M.-B. KIM, J.-Y. KO and S.-B. LIM

    6 Journal of Food Processing and Preservation00(2016) 0000VC 2016 Wiley Periodicals, Inc.

  • 7/26/2019 Kim_et_al-2016-Journal_of_Food_Processing_and_Preservation.pdf

    7/10

    Phenolic compounds contribute to the antioxidant capacity

    of vegetables and fruits, which have high ABTS radical scaveng-

    ing and FRAP activities (Guoaet al. 2011). Polyphenolic com-

    pounds contain functional phenolic hydroxyl (OH) groups

    that scavenge reactive oxygen species as a hydrogen-donating

    radical scavenger (Soengaset al. 2011; Leeet al. 2013). A high

    level of phenolic compounds, specially quercetin, in broccoli is

    related to its high antioxidant potential, and broccoli is often

    considered the most abundant source of antioxidants in the

    diet (Soengas et al. 2011; Porter 2012).In addition to phenolic compounds, broccoli contains

    anthocyanins and glucosinolate hydrolysis products, which

    also contribute to human health (Guoa et al. 2011). Espe-

    cially, sulforaphane, a hydrolysis product of glucoraphanin

    found in broccoli, produces phase I and phase II detoxifica-

    tion enzymes and other antioxidant proteins, and helps con-

    trol toxin removal from the human body (Klein and Kiat

    2014; Liu et al. 2014). Furthermore, broccoli contains high

    levels of glutathione, which helps expel toxins from the liver

    by supporting enzymes that promote detoxification (Harris

    and Johnson 2012).

    Carrot is rich in hydrophobic carotenoids, and thus shows

    poor antioxidant activity (Thaiponga et al. 2006). Carote-

    noids respond in a different manner to different radicals or

    oxidant sources, which are not particularly good peroxylradical quenchers compared with phenolics and other

    antioxidants. The ABTS is oxidized by peroxyl radicals to

    ABTS1 radical cation, resulting in the lower ABTS radical

    scavenging activity of carrot powder (Prior et al. 2005; da

    Silvaet al. 2014).

    FIG. 4. TRACE PLOT AND RESPONSE SURFACE FOR OVERALL ACCEPTANCE AT DIFFERENT RATIOS OF BROCCOLI (A), CABBAGE (B), AND CARROT

    (C) MIXED POWDERS

    TABLE 4. CONSTRAINT VALUES OF INDEPENDENT VARIABLES AND PREDICTED VALUES OF DEPENDENT VARIABLES AT THE MAXIMUM

    DESIRABILITY

    Independent and dependent variables Goal

    Predicted values

    Numerical

    optimization

    Graphical

    optimization

    Independent BroMP (%) In range (0-1) 67.4 67.4

    CabMP (%) In range (0.167-1) 16.7 16.7

    CarMP (%) In range (0-1) 15.9 15.9

    Dependent TPC (mg GAE/g) Maximum 9.51 9.51

    ABTS (IC50, lg/mL) Minimum 5.35 5.35

    FRAP (mM FSE/g) Maximum 81.34 81.32

    Overall acceptance* Target (4.7) 4.62 4.62

    BroMP, broccoli mixed powder; CabMP, cabbage mixed powder; CatMP, carrot-mixed powder.

    * 1; extremely dislike, 9; extremely like.

    M.-B. KIM, J.-Y. KO and S.-B. LIM OPTIMIZATION OF JUICE POWDERS BY MIXTURE DESIGN

    7Journal of Food Processing and Preservation00(2016) 0000VC 2016 Wiley Periodicals, Inc.

  • 7/26/2019 Kim_et_al-2016-Journal_of_Food_Processing_and_Preservation.pdf

    8/10

    Overall Acceptance of Juice Powders

    Sensory evaluation was performed in juice powders in terms

    of overall acceptance using a 9-point category scale (Table

    2). The overall acceptance of the samples evaluated ranged

    from 4.30 to 6.37 (1: extremely dislike, 9: extremely like).

    The maximum overall acceptance was observed with 100%

    CarMP and the minimum overall acceptance with 100%

    CabMP. The overall acceptance of juice powders increasedwith a higher proportion of CarMP due to sugary taste.

    When the ratios of BroMP and CabMP increased, the overall

    acceptances decreased.

    Statistical analysis and the polynomial regression equa-

    tion for the overall acceptance of juice powders are pre-

    sented in Table 3. A linear model was applied for the overall

    acceptance. The high coefficient values of the regression for-

    mula indicated that the ratio of CarMP in juice powders

    greatly affected the overall acceptance.

    The trace plot and response surface for the overall accep-

    tance at different ratios of juice powders showed that the

    overall acceptance decreased as the proportions of BroMP

    (A-A line) and CabMP increased (B-B line) (Fig. 4). This

    was probably due to the hydrolyzed products isothiocya-

    nates, generated from the precursor glucosinolates enriched

    in Brassica vegetables, including broccoli and cabbage(Ghawi et al. 2014). Isothiocyanates are largely responsible

    for the bitter taste and characteristic sulfurous aromas and

    lead to limited consumer acceptability and low acceptance

    (Ghawiet al. 2014; Grnbk 2014).

    This bitterness may be compensated by increasing the

    proportion of CarMP within the juice powder. The overall

    acceptance of juice powders increased as the proportion of

    CarMP increased (C-C line) (Fig. 4). The high sugar content

    of carrots may mask the bitter taste of broccoli and cabbage

    and decrease the perceived bitter taste (Grnbk 2014).

    Optimization of the Juice PowderMixing Ratio

    The mixing ratio of juice powders was optimized by the

    method outlined in Derringer and Suich (1980). The opti-

    mal mixing ratio of juice powders was determined based on

    the phytochemical content (TPC), antioxidant activities

    (ABTS radical scavenging and FRAP activities), and sensory

    properties. As independent variables, the ratios of BroMP

    and CarMP were set at a lower limit of 0 and upper limit

    of 1, and that of CabMP was at a lower limit of 0.167

    and upper limit of 1 based on preliminary preference

    tests. The dependent variables TPC and FRAP activity were

    set to the maximum value, ABTS radical scavenging activity(IC50value) was set to the minimum value, and the overall

    acceptance was set to the target value of 4.7, which was the

    middle value of 13 runs for the overall acceptance scores

    (Table 4).

    The optimal mixing ratio determined from the numerical

    optimization (Table 4) was 67.4% BroMP, 16.7% CabMP,

    and 15.9% CarMP. This was the same in the graphical opti-

    mization models (Fig. 5). In the graphical optimization, the

    overlapping region in the graphical plot was selected as the

    FIG. 5. THREE-DIMENSIONAL PLOT OF THE COMMON AREA FOR THE

    OPTIMIZED JUICE POWDER (A: BROCCOLI MIXED POWDER,

    B: CABBAGE MIXED POWDER, C: CARROT-MIXED POWDER)

    TABLE 5. QUANTIFICATION OF INDIVIDUAL PHENOLIC COMPOUNDS BY GC/MS (mg/100 g OF DRIED SAMPLE)

    Phenolic compound Broccoli Cabbage Carrot Optimized mixed powder

    p-Hydroxyl -benzoic acid 3.2460.13* 2.9460.08 8.2360.61 1.8860.16

    Vanillic acid 2.7660.29 2.6660.16 8.9860.88 2.2760.08

    Ferulic acid 25.316 0.32 13.4460.34 10.0760.08 15.756 0.05

    Caffeic acid 9.0460.05 9.0260.08 63.0862.92 12.046 0.05

    Sinapic acid 51.606 1.06 51.2660.74 30.286 0.08

    Chlorogenic acid 50.1660.45 171.346 10.55 121.16613.47

    Quercetin 72.606 0.05 71.746 0.16

    Total 164.55 129.48 261.70 255.12

    * Data are given as means6 SD.

    OPTIMIZATION OF JUICE POWDERS BY MIXTURE DESIGN M.-B. KIM, J.-Y. KO and S.-B. LIM

    8 Journal of Food Processing and Preservation00(2016) 0000VC 2016 Wiley Periodicals, Inc.

  • 7/26/2019 Kim_et_al-2016-Journal_of_Food_Processing_and_Preservation.pdf

    9/10

    optimal range (Fig. 5). The desirability (D) at this optimal

    point was calculated to be 0.658. At the optimal mixing

    ratio, the predicted response values of TPC, ABTS radical

    scavenging activity (IC50), FRAP activity, and overall accep-

    tance were 9.51 mg GAE/g dry extract, 5.35lg/mL, 81.3 mM

    FSE/g dry extract, and 4.62, respectively (Table 4).

    Quantitative Determination of

    Individual Phenolics by GC/MS

    The levels of individual phenolics present in the extracts are

    shown in Table 5. Seven phenolics were identified:p-hydroxy-

    benzoic acid, vanillic acid, ferulic acid, caffeic acid, sinapic

    acid, chlorogenic acid, and quercetin. The major phenolics

    found in broccoli were quercetin (72.60 mg/100g) and

    sinapic acid (51.60 mg/100g), those in cabbage were sinapic

    acid (51.26 mg/100g) and chlorogenic acid (50.16 mg/100g),

    and those in carrot were chlorogenic acid (171.34 mg/100g)

    and caffeic acid (63.08 mg/100 g). In the optimized mixedjuice powder produced from BroMP, CabMP, and CarMP,

    the major phenolic compounds found were chlorogenic acid

    (121.16 mg/100g), quercetin (71.74 mg/100g), and sinapic

    acid (30.28mg/100g). Chlorogenic acid is originated mainly

    from the carrot powder, while quercetin is mainly originated

    from the broccoli powder. Quercetin has 2.33.4-fold more

    antioxidant activity than those of ferulic acid, chlorogenic

    acid, and caffeic acid (Caiet al. 2006).

    The sum of the individual phenolic compounds ranged

    from 129.48 to 261.70 mg/100 g. The optimized juice pow-

    der contained higher contents of individual phenolic com-

    pounds than those of the broccoli or cabbage powder. Thus,

    mixed vegetable powders can provide large amounts of

    diverse phenolic compounds from different vegetable sour-

    ces. However, the individual phenolic compounds quanti-

    fied by GC/MS after acid hydrolysis may not be related

    directly to their antioxidant capacities, which were assessed

    using extracts (which contained more complex molecules).

    CONCLUSIONS

    Antioxidant-rich juice powders were developed with

    BroMP, CabMP, and CarMP. The high proportion of BroMP

    positively affected the TPC and antioxidant activities and

    resulted in high functionality of the juice powders. The highproportion of CarMP positively affected the overall accep-

    tance and resulted in high sensory quality of the juice pow-

    ders. The optimized mixed juice powder showed high sums

    of individual phenolic compounds, with chlorogenic acid

    (121.16 mg/100g) and quercetin (71.74 mg/100g) as the

    major phenolics. An optimized mixing ratio will enhance

    both functionality and consumer acceptance and can pro-

    vide a source of diverse phenolic compounds, present at

    high levels, from different vegetable sources. The mixture

    design approach was found to be a suitable method for opti-

    mizing a healthy and delicious juice formulation.

    ACKNOWLEDGMENTS

    This research was supported by the Ministry of Trade,

    Industry and Energy (MOTIE) and Korean Institute for

    Advancement of Technology (KIAT) through the Research

    and Development for Regional Industry Program.

    NOMENCLATURE

    ABTS 2,20-Azino-bis-3-ethylbenzthiazoline-6-sulphonic

    acid

    GAE Gallic acid equivalent

    OH Hydroxyl

    TPC Total phenolic content

    TPTZ 2,4,6-Tripyridyl-s-triazine

    REFERENCES

    AADIL, R.M., ZENG, X.A., ALI, A., ZENG, F., FAROOQ, M.A.,

    HAN, Z., KHALID, S. and JABBAR, S. 2015a. Influence of

    different pulsed electric field strengths on the quality of the

    grapefruit juice. Int. J. Food Sci. Technol.50, 22902296.

    AADIL, R.M., ZENG, X.A., ZHANG, Z.H., WANG, M.S., HAN,

    Z., JING, H. and JABBAR, S. 2015b. Thermosonication: A

    potential technique that influences the quality of grapefruit

    juice. Int. J. Food Sci. Technol.50, 12751282.

    CAI, Y.Z., SUM, M., XING, J., LUO, Q. and CORKE H. 2006.

    Structure-radical scavenging activity relationships of phenolic

    compounds from traditional Chinese medicinal plants. Life

    Sci.78, 28722888.

    COL, R. 2013.4 Day detox: No juicing necessary, P. 5. Rafal Col

    Publishing, USA.

    DA SILVA, T.T.C., FERREIRA, V.B., COUTO, S.M. and

    OLIVEIRA SABAA SRUR, A.U. 2014. Organic vegetables

    quality arising from the Brazilian family-run farm. Food Nutr.

    Sci.5, 15381543.

    DERRINGER, G. and SUICH, R. 1980. Simultaneous

    optimization of several response variables. J. Qual. Technol.

    12, 214219.

    FERRARIO, M., ALZAMORA, S.M. and GUERRERO, S. 2015.

    Study of pulsed light inactivation and growth dynamics

    during storage ofEscherichia coliATCC 35218,Listeria

    innocuaATCC 33090,Salmonella EnteritidisMA44 and

    Saccharomyces cerevisiaeKE162 and native flora in apple,

    orange and strawberry juices. Int. J. Food Sci. Technol. 50,

    24982507.

    GHAWI, S.K., SHEN, Y., NIRANJAN, K. and METHVEN, L.

    2014. Consumer acceptability and sensory profile of cooked

    broccoli with mustard seeds added to improve

    chemoprotective properties. J. Food Sci.79, 17561762.

    M.-B. KIM, J.-Y. KO and S.-B. LIM OPTIMIZATION OF JUICE POWDERS BY MIXTURE DESIGN

    9Journal of Food Processing and Preservation00(2016) 0000VC 2016 Wiley Periodicals, Inc.

  • 7/26/2019 Kim_et_al-2016-Journal_of_Food_Processing_and_Preservation.pdf

    10/10

    GRNBK, M. 2014. Effects of cultivation strategies on

    phytochemicals and sensory properties of cabbage (Brassica

    oleracea L. var. capitata L.) and curly kale (Brassica oleracea L.

    var. sabellica L.). PhD thesis, Aarhus University, Aarhus,

    Denmark.

    GUOA, R., YUANA, G. and WANGA, Q. 2011. Effect of sucrose

    and mannitol on the accumulation of health-promotingcompounds and the activity of metabolic enzymes in broccoli

    sprouts. Sci. Hortic.128, 159165.

    HARRIS, S. and JOHNSON, E. 2012.Skinny smoothies: 101

    delicious drinks that help you detox and lose weight, pp. 4142.

    Da Capo Press, Cambridge, USA.

    HWANG, J.H. and LIM, S.B. 2014. Antioxidant and

    anti-inflammatory activities of broccoli florets in

    LPS-stimulated RAW 264.7 cells. Prev. Nutr. Food Sci. 19,

    8997.

    JANG, M.S., PARK, J.E. and PARK, H.Y. 2011. Formulation

    optimization of salad dressing added with Chinese quince

    (Chaenomelis sinensis) juice by mixture design. Food Sci.

    Biotechnol.20, 409417.KIM, M.B., PARK, J.S. and LIM, S.B. 2010. Antioxidant activity

    and cell toxicity of pressurized liquid extracts from 20 selected

    plant species in Jeju, Korea. Food Chem.122, 546552.

    KIM, J.K., BAIK, M.Y., HAHN, Y.T. and KIM, B.Y. 2012.

    Development and optimization of a drink utilizing Citrus

    (Citrus unshiu) peel extract. J. Food Process Eng.35, 557571.

    KLEIN, A.V. and KIAT, H. 2014. Detox diets for toxin

    elimination and weight management: A critical review of the

    evidence. J. Hum. Nutr. Diet. (in press).

    LAWLESS, L.J.R., THRELFALL R.T., MEULLENET, J.F. and

    HOWARD, L. 2013. Applying a mixture design for consumer

    optimization of black cherry, concord grape and pomegranate

    juice blends. J. Sens. Stud.28, 102112.

    LEE, S.G., KIM, J.H., SON, M.J., LEE, E.J., PARK, W.D., KIM,

    J.B., LEE, S.P. and LEE, I.S. 2013. Influence of extraction

    method on quality and functionality of broccoli juice. Prev.

    Nutr. Food Sci.18, 133138.

    LIU, A.G., JUVIK, J.A., JEFFERY, E.H., BERMAN-BOOTY, L.D.,

    CLINTON, S.K. and ERDMAN, J.W.J. 2014. Enhancement of

    broccoli indole glucosinolates by methyl jasmonate treatment

    and effects on prostate carcinogenesis. J. Med. Food.17,

    11771182.

    MENSAH-BROWN, H., AFOAKWA, E.O. and WADIE, W.B.

    2014. Optimization of the production of a chocolate-

    flavoured, soypeanut beverage with acceptable chemical and

    physicochemical properties using a three-component

    constrained extreme lattice mixture design. Food Sci. Qual.Manage.23, 4654.

    PORTER, Y. 2012. Antioxidant properties of green broccoli and

    purple-sprouting broccoli under different cooking conditions.

    Biosci. Horiz.5, 111.

    PRIOR, R.L., WU, X. and SCHAICH, K. 2005. Standardized

    methods for the determination of antioxidant capacity and

    phenolics in foods and dietary supplements. J. Agric. Food

    Chem.53, 42904302.SHIBY, V.K., RADHAKRISHNA, K. and BAWA, A.S. 2013.

    Development of whey-fruit-based energy drink mixes using

    D-optimal mixture design. Int. J. Food Sci. Technol. 48,

    742748.

    SHIMAZU, T., WAKAI, K., TAMAKOSHI, A., TSUJI, I.,

    TANAKA, K., MATSUO, K., NAGATA, C., MIZOUE, T.,

    INOUE, M., TSUGANE, S., SASAZUKI, S. and RESEARCH

    GROUP FOR THE DEVELOPMENT AND EVALUATION OF

    CANCER PREVENTION STRATEGIES IN JAPAN. 2014.

    Association of vegetable and fruit intake with gastric cancer

    risk among Japanese: A pooled analysis of four cohort studies.

    Ann. Oncol.25, 12281233.

    SOENGAS, P., SOTELO, T., VELASCO, P. and CARTEA, M.E.2011. Antioxidant properties ofBrassicavegetables. Func.

    Plant Sci. Biotech.5, 4355.

    THAIPONGA, K., BOONPRAKOBA, U., CROSBYB, K.,

    CISNEROS-ZEVALLOSC, L. and BYRNEC, D.H. 2006.

    Comparison of ABTS, DPPH, FRAP, and ORAC assays for

    estimating antioxidant activity from guava fruit extracts.

    J. Food Compos. Anal.19, 669675.

    TOKER, O.S., DOGAN, M., CANIYILMAZ, E., ERSOZ, N.B.

    and KAYA Y. 2013. The effects of different gums and their

    interactions on the rheological properties of a dairy dessert: A

    mixture design approach. Food Bioprocess Tech. 6, 896908.

    WOOTTON-BEARD, P.C. and RYAN, L. 2011. Improving public

    health? The role of antioxidant-rich fruit and vegetable

    beverages. Food Res. Int.44, 31353148.

    WOOTTON-BEARD, P.C., MORAN, A. and RYAN L. 2011.

    Stability of the total antioxidant capacity and total

    polyphenol content of 23 commercially available vegetable

    juices before and after in vitrodigestion measured by FRAP,

    DPPH, ABTS and FolinCiocalteu methods. Food Res. Int.

    44, 217224.

    YUAN, L., ZHANG, L., MA, W., ZHOU, X., JI, J., LI, N. and

    XIAO, R. 2013. Glutathione S-transferase M1 and T1 gene

    polymorphisms with consumption of high fruit-juice and

    vegetable diet affect antioxidant capacity in healthy adults.

    Nutrition29, 965971.

    ZULPA, A. 2014.Detox diet: The way to rejuvenate the body: How

    to lose weight and increase longevity, p. 14, Speedy PublishingLLC, Delaware, USA.

    OPTIMIZATION OF JUICE POWDERS BY MIXTURE DESIGN M.-B. KIM, J.-Y. KO and S.-B. LIM

    10 Journal of Food Processing and Preservation00(2016) 0000VC 2016 Wiley Periodicals, Inc.