American Journal of Food Science and Technology
ISSN (Print): 2333-4827 ISSN (Online): 2333-4835 Website: http://www.sciepub.com/journal/ajfst Editor-in-chief: Hyo Choi
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American Journal of Food Science and Technology. 2019, 7(3), 79-85
DOI: 10.12691/ajfst-7-3-2
Open AccessArticle

Optimization of Process Variables Affecting Osmotic Dehydration of Green Chili in Sucrose Solution by Response Surface Methodology

M. R. Haque1, , M. M. Hosain2, M. S. Awal3 and M. M. Kamal2

1Department of Food Engineering and Technology, Hajee Mohammad Danesh Science and Technology University, Dinajpur, Bangladesh

2Department of Food Processing and Preservation, Hajee Mohammad Danesh Science and Technology University, Dinajpur, Bangladesh

3Department of Food Science and Nutrition, Hajee Mohammad Danesh Science and Technology University, Dinajpur, Bangladesh

Pub. Date: April 11, 2019

Cite this paper:
M. R. Haque, M. M. Hosain, M. S. Awal and M. M. Kamal. Optimization of Process Variables Affecting Osmotic Dehydration of Green Chili in Sucrose Solution by Response Surface Methodology. American Journal of Food Science and Technology. 2019; 7(3):79-85. doi: 10.12691/ajfst-7-3-2

Abstract

Response surface methodology was used to investigate the effect of solute concentration (30-70°B), solution temperature (40-60°C) and process time (15-300 min) on water loss, solid gain and water loss to solid gain ratio during osmotic dehydration of green chili. The face centered central composite design (FCCD) with three factors at three different levels was used for optimizing the process variables. The models developed for all responses were found significant at 95% confidence level. It was found that all variables at linear level have significant effect on water loss (WL), solid gain (SG) and WL/SG ratio. The optimized conditions were solute concentration of 30°B, solution temperature of 40°C and time of 299.93 min in order to obtain WL of 18.66%, SG of 5.78% and WL/SG ratio of 2.73.

Keywords:
osmotic dehydration green chili optimization response surface methodology

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