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Response surface optimization of beta-glucan extraction from cauliflower mushrooms (Sparassis crispa)

Authors
Bae, In YoungKim, Kyoung JinLee, SuyongLee, Hyeon Gyu
Issue Date
Aug-2012
Publisher
한국식품과학회
Keywords
Sparassis crispa; beta-glucan; extraction optimization; response surface methodology
Citation
Food Science and Biotechnology, v.21, no.4, pp 1031 - 1035
Pages
5
Indexed
SCIE
SCOPUS
KCI
Journal Title
Food Science and Biotechnology
Volume
21
Number
4
Start Page
1031
End Page
1035
URI
https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/164999
DOI
10.1007/s10068-012-0134-x
ISSN
1226-7708
2092-6456
Abstract
The extraction procedures for beta-glucans from cauliflower mushrooms (Sparassis crispa) were optimized by response surface methodology. Experimental design was used to investigate the effect of 3 extraction parameters (pH, extraction time, and ratio of water to raw material) on beta-glucan content. The parameter ranges investigated were 6-10 for extraction pH (X-1), 5-15 h for extraction time (X-2), and 10-30 for water to raw material ratio (X-3). The experimental results were in good agreement with a polynomial regression model by a multiple regression analysis (R-2=0.95, p=0.0074) for beta-glucan content extracted from cauliflower mushrooms. The optimal conditions for beta-glucan extraction from cauliflower mushrooms were determined as extraction pH of 6.05, extraction time of 8 h 55 min, and ratio of water to raw material of 19.74, showing 60.76% of the predicted content of beta-glucan.
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Lee, Hyeon Gyu
COLLEGE OF HUMAN ECOLOGY (DEPARTMENT OF FOOD & NUTRITION)
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