Download presentation
Presentation is loading. Please wait.
Published byClaud Hardy Modified over 9 years ago
1
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 Engineering University of Saskatchewan
2
BIO-PROCESS ENGINEERING GROUP, Dept. Agricultural & Bioresource Engineering, U of S Introduction l Lentils yearly export earnings $240 million (Canadian) l Lentils nutritious and healthy food, low in fat l Swath 1/3 of pod turns yellow or straight- cut fully mature l Threshed at 16 to 20% wb to reduce shattering losses l Needs drying to 12 -14% safe storage
3
BIO-PROCESS ENGINEERING GROUP, Dept. Agricultural & Bioresource Engineering, U of S Introduction l Conventional convective drying longer time and energy intensive l Microwave drying is energy efficient and faster heating in processing foods compared to convective drying l Microwave drying reduce retrogradation and has potential to increase the commercial use of lentil starch. l To better understand design, control and efficient operation of microwave drying systems for lentils, drying kinetics should be investigated.
4
BIO-PROCESS ENGINEERING GROUP, Dept. Agricultural & Bioresource Engineering, U of S Objectives l 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.
5
BIO-PROCESS ENGINEERING GROUP, Dept. Agricultural & Bioresource Engineering, U of S Material l Robin lentils obtained from Pure T. Organics, Regina, SK l Impact lentils supplied by Reisner Seed Farm, Limerick, SK l Preconditioned moisture content Robin (9.85%) and Impact (6.50%) l Added water, rotated 5 h and stored at 5 o C for a week l Conditioned moisture content Robin (20.82%) and Impact (21.86%)
6
BIO-PROCESS ENGINEERING GROUP, Dept. Agricultural & Bioresource Engineering, U of S Microwave drying l A combined microwave- convective dryer, Model NN-C980W (Panasonic Canada Ltd, Mississauga, ON) l Sample size of about 700 g l Microwave power levels P10 (713 W), P7 (606 W) and P4 (330 W) l Sample was removed and weighed at regular intervals l Cooled for 10 min and stored
7
BIO-PROCESS ENGINEERING GROUP, Dept. Agricultural & Bioresource Engineering, U of S Convective drying lA convective oven dryer ((Model 28, Precision Scientific Group, Chicago, IL) ) was used l A sample size of about 700 g was placed on container lTwo samples dried at the same time lSamples were removed and weighed at regular interval l The samples were dried at 70 o C.
8
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, Δ L, Δ a, and Δ b Total color difference Δ E
9
BIO-PROCESS ENGINEERING GROUP, Dept. Agricultural & Bioresource Engineering, U of S Data analysis - Drying models Model nameDrying model DiffusionMR = aexp(-kt) + (1 - a)exp(-bkt) PageMR = exp(-kt n ) Wang and SinghMR = 1 + at + bt 2
10
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 (R 2 ) 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)
11
BIO-PROCESS ENGINEERING GROUP, Dept. Agricultural & Bioresource Engineering, U of S Results - Microwave drying Effect of microwave power levels on lentils drying
12
BIO-PROCESS ENGINEERING GROUP, Dept. Agricultural & Bioresource Engineering, U of S Results – Microwave and convective drying rates
13
BIO-PROCESS ENGINEERING GROUP, Dept. Agricultural & Bioresource Engineering, U of S Results Model name Drying model R 2 rangeSE DiffusionMR = aexp(- kt) + (1 - a)exp(-bkt) 0.9995 – 1.0000 0.0061 – 0.0013 PageMR = exp(- kt n ) 0.9989 – 1.0000 0.0077 – 0.0012 Wang and Singh MR = 1 + at + bt 2 0.9947 – 0.9995 0.0168 – 0.0042
14
BIO-PROCESS ENGINEERING GROUP, Dept. Agricultural & Bioresource Engineering, U of S Results – L, a, and b
15
BIO-PROCESS ENGINEERING GROUP, Dept. Agricultural & Bioresource Engineering, U of S Results – Color change
16
BIO-PROCESS ENGINEERING GROUP, Dept. Agricultural & Bioresource Engineering, U of S Conclusions l Times required to dry lentil samples were shorter compared to convective drying and decreased with increasing power levels. l Microwave drying resulted in higher drying rates compared to convective drying. l There was no difference in the drying rate between the two lentil varieties l Initial moisture content might have affected the drying time between the two varieties
17
BIO-PROCESS ENGINEERING GROUP, Dept. Agricultural & Bioresource Engineering, U of S Conclusions l Diffusion model provided a better fit for almost all the drying conditions, with higher R 2 and lower SE compared to the other models. l Microwave and convective drying had more effect on the Impact variety than the Robin variety. l Convective drying of the Robin variety produced the lowest total color change. l The highest total color change was produced by convective drying of the Impact variety.
18
BIO-PROCESS ENGINEERING GROUP, Dept. Agricultural & Bioresource Engineering, U of S Acknowledgment Saskatchewan Pulse Growers NSERC Thank You
Similar presentations
© 2025 SlidePlayer.com. Inc.
All rights reserved.