bio-process engineering group, dept. agricultural & bioresource engineering, u of s 2008 csbe...
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BIO-PROCESS ENGINEERING GROUP, Dept. Agricultural & Bioresource Engineering, U of S
2008 CSBE International Meeting
Microwave drying characteristics of two varieties of red lentils
Opoku, A., L.G. Tabil and V. Meda
Department of Agricultural and Bioresource EngineeringUniversity of Saskatchewan
BIO-PROCESS ENGINEERING GROUP, Dept. Agricultural & Bioresource Engineering, U of S
Introduction
Lentils yearly export earnings $240 million (Canadian)
Lentils nutritious and healthy food, low in fat
Swath 1/3 of pod turns yellow or straight-cut fully mature
Threshed at 16 to 20% wb to reduce shattering losses
Needs drying to 12 -14% safe storage
BIO-PROCESS ENGINEERING GROUP, Dept. Agricultural & Bioresource Engineering, U of S
Introduction
Conventional convective drying longer time and energy intensive
Microwave drying is energy efficient and faster heating in processing foods compared to convective drying
Microwave drying reduce retrogradation and has potential to increase the commercial use of lentil starch.
To better understand design, control and efficient operation of microwave drying systems for lentils, drying kinetics should be investigated.
BIO-PROCESS ENGINEERING GROUP, Dept. Agricultural & Bioresource Engineering, U of S
Objectives
The objective of this study was to investigate the drying and color characteristics of red lentil varieties (Impact and Robin) using microwave drying system and to compare with convective drying.
BIO-PROCESS ENGINEERING GROUP, Dept. Agricultural & Bioresource Engineering, U of S
Material
Robin lentils obtained from Pure T. Organics, Regina, SK
Impact lentils supplied by Reisner Seed Farm, Limerick, SK
Preconditioned moisture content Robin (9.85%) and Impact (6.50%)
Added water, rotated 5 h and stored at 5oC for a week
Conditioned moisture content Robin (20.82%) and Impact (21.86%)
BIO-PROCESS ENGINEERING GROUP, Dept. Agricultural & Bioresource Engineering, U of S
Microwave drying
A combined microwave-convective dryer, Model NN-C980W (Panasonic Canada Ltd, Mississauga, ON)
Sample size of about 700 gMicrowave power levels
P10 (713 W), P7 (606 W) and P4 (330 W)
Sample was removed and weighed at regular intervals
Cooled for 10 min and stored
BIO-PROCESS ENGINEERING GROUP, Dept. Agricultural & Bioresource Engineering, U of S
Convective drying
A convective oven dryer ((Model 28, Precision Scientific Group, Chicago, IL) ) was used
A sample size of about 700 g was placed on container
Two samples dried at the same time
Samples were removed and weighed at regular interval
The samples were dried at 70oC.
BIO-PROCESS ENGINEERING GROUP, Dept. Agricultural & Bioresource Engineering, U of S
Color measurement
•Hunterlab Color Analyzer (Hunter Associates Laboratory Inc., Reston, VA, U.S.A.)
•Measured L, a, and b values before and after drying
•Determined change in color, ΔL, Δa, and Δb
•Total color difference ΔE
222 baLΔE
BIO-PROCESS ENGINEERING GROUP, Dept. Agricultural & Bioresource Engineering, U of S
Data analysis - Drying models
Model name Drying model
Diffusion MR = aexp(-kt) + (1 - a)exp(-bkt)
Page MR = exp(-ktn)
Wang and Singh MR = 1 + at + bt2
BIO-PROCESS ENGINEERING GROUP, Dept. Agricultural & Bioresource Engineering, U of S
Data analysis
• TableCurve 2D (Jandel Scientific, San Rafael, CA) was used to determine the parameters of the models
• Coefficient of determination (R2) and the standard error (SE) were determined for the models
• Regression models were fitted to describe drying rate constant (k in min-1) and empirical constants n, a, and b
• Equilibrium moisture content (EMC) was assumed to be zero for the microwave drying data and 3.80% dry basis (db) selected from Menkov (2000)
• Drying rate determined as the amount of water removed per time (kg of water per kg of dry matter per hour)
BIO-PROCESS ENGINEERING GROUP, Dept. Agricultural & Bioresource Engineering, U of S
Results - Microwave drying
Effect of microwave power levels on lentils drying
0
5
10
15
20
25
30
0 50 100 150 200 250 300
Time (min)
Mo
istu
re c
on
ten
t (%
db
)
70-IM
70-R
P4-IM
P7-IM
P10-IM
P4-R
P7-R
P10-R
BIO-PROCESS ENGINEERING GROUP, Dept. Agricultural & Bioresource Engineering, U of S
Results – Microwave and convective drying rates
0.00
0.10
0.20
0.30
0.40
0.50
0.60
0.70
0.80
0.90
0 50 100 150 200 250 300
Time (min)
Dry
ing
rate
(db
/h)
70-IM
70-R
P4-IM
P7-IM
P10-IM
P4-R
P7-R
P10-R
BIO-PROCESS ENGINEERING GROUP, Dept. Agricultural & Bioresource Engineering, U of S
Results
Model name Drying model
R2 range SE
Diffusion MR = aexp(-kt) + (1 - a)exp(-bkt)
0.9995 – 1.0000
0.0061 – 0.0013
Page MR = exp(-ktn)
0.9989 – 1.0000
0.0077 – 0.0012
Wang and Singh
MR = 1 + at + bt2
0.9947 – 0.9995
0.0168 – 0.0042
BIO-PROCESS ENGINEERING GROUP, Dept. Agricultural & Bioresource Engineering, U of S
Results – L, a, and b
Treatment Color before drying Color after drying
L a b L a b
P10-R 37.40 6.24 10.19 38.28 6.23 11.32
P7-R 38.54 6.04 10.36 38.60 6.83 11.76
P4-R 38.99 6.19 10.51 37.37 6.44 10.94
P10-IM 38.11 7.40 9.69 37.69 6.65 9.96
P7-IM 37.64 7.00 8.98 37.38 7.27 9.94
P4-IM 40.54 6.84 9.43 38.28 6.38 9.52
70oC-R 44.94 7.83 16.92 44.70 8.29 17.68
70oC-IM 45.53 7.95 14.37 41.45 9.56 15.15
BIO-PROCESS ENGINEERING GROUP, Dept. Agricultural & Bioresource Engineering, U of S
Results – Color change
Treatment Color change
ΔL Δa Δb ΔE
P10-R -0.88a 0.02bcd -1.13ab 1.44bc
P7-R -0.05ab -0.79ab -1.40a 1.62cd
P4-R 1.62c -0.25bc -0.43cde 1.72cd
P10-IM 0.43b 0.74d -0.27de 2.05de
P7-IM 0.26b -0.26bc -0.97ab 1.11ab
P4-IM 2.26c 0.46cd -0.08e 2.41e
70oC-R 0.24b -0.46bc -0.76bcd 0.92a
70oC-IM 4.08d -1.61a -0.78bc 4.45f
BIO-PROCESS ENGINEERING GROUP, Dept. Agricultural & Bioresource Engineering, U of S
Conclusions
Times required to dry lentil samples were shorter compared to convective drying and decreased with increasing power levels.
Microwave drying resulted in higher drying rates compared to convective drying.
There was no difference in the drying rate between the two lentil varieties
Initial moisture content might have affected the drying time between the two varieties
BIO-PROCESS ENGINEERING GROUP, Dept. Agricultural & Bioresource Engineering, U of S
Conclusions
Diffusion model provided a better fit for almost all the drying conditions, with higher R2 and lower SE compared to the other models.
Microwave and convective drying had more effect on the Impact variety than the Robin variety.
Convective drying of the Robin variety produced the lowest total color change.
The highest total color change was produced by convective drying of the Impact variety.