Optimization of the Prescription of Pomelo Beverage by Response Surface Methodology

The prescription of pomelo beverage was optimized to maximize the sensory score in this study. A Box-Behnken design of response surface methodology involving the addition amount of pomelo juice, addition amount of citric acid, addition amount of sugar, was used, and second-order model for the sensor...

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Bibliographic Details
Published in2010 2nd International Conference on Information Engineering and Computer Science pp. 1 - 3
Main Authors Han Gao, Guifang Xu, Haijuan Nan, Jin Kong, Shengyang Niu, Xia Zhao
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.12.2010
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ISBN1424479398
9781424479399
ISSN2156-7379
DOI10.1109/ICIECS.2010.5678215

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Summary:The prescription of pomelo beverage was optimized to maximize the sensory score in this study. A Box-Behnken design of response surface methodology involving the addition amount of pomelo juice, addition amount of citric acid, addition amount of sugar, was used, and second-order model for the sensory score was employed to generate the response surface. The optimum condition for the process was determined as follows: pomelo juice 34.02%, citric acid 0.25%, sugar 8%. The obtained sensory score at the optimum condition was 8.10.
ISBN:1424479398
9781424479399
ISSN:2156-7379
DOI:10.1109/ICIECS.2010.5678215