Please use this identifier to cite or link to this item: http://hdl.handle.net/11452/26626
Title: Energy consumption and colour characteristics of nettle leaves during microwave, vacuum and convective drying
Authors: Uludağ Üniversitesi/Ziraat Fakültesi/Biyosistem Mühendisliği Anabilim Dalı.
0000-0002-1898-8390
Alibaş, İlknur
AAH-4263-2021
15050151200
Keywords: Urtica
Hot-air
Dehydration
Quality
Combination
Kinetics
Carrots
Urtica dioica
Vacuum drying
Convective drying
Plants (botany)
Color parameters
Microwave drying
Color
Drying
Energy utilization
Microwaves
Moisture
Issue Date: Apr-2007
Publisher: Academic Press Elsevier Science
Citation: Alibaş, İ. (2007). "Energy consumption and colour characteristics of nettle leaves during microwave, vacuum and convective drying". Biosystems Engineering, 96(4), 495-502.
Abstract: Nettle leaves (Urtica dioica L.) were dried from an initial moisture content of 4.41 to 0.1 (dry basis) by involving microwave, convective and vacuum drying, respectively. Energy consumption and colony parameters for the nettle leaves were compared at these different drying conditions. In particular, the experiments were carried out at four different microwave power levels (500, 650, 750 and 850 W) and air temperatures (50, 75, 100 and 125 degrees C) to investigate the effect of these factors on the microwave and convective drying, respectively. Instead, under vacuum drying conditions both the influence of vacuum (20 and 50 mm [Hg]) and drying temperature (50 and 75 degrees C) were considered. Drying periods ranged from 4 to 6, 30 to 120 and 35 to 65 min for microwave, convective and vacuum drying, respectively. The semi-empirical Page's equation was able to reproduce the experimental drying curves at all operating conditions under microwave, convective and vacuum drying. The optimum method with respect to the drying period, colour and energy consumption was the microwave drying at 850 W.
URI: https://doi.org/10.1016/j.biosystemseng.2006.12.011
https://www.sciencedirect.com/science/article/pii/S153751100600417X
http://hdl.handle.net/11452/26626
ISSN: 15375110
Appears in Collections:Web of Science

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