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Response surface optimization of beta-glucan extraction from cauliflower mushrooms (Sparassis crispa)
- Bae, In Young;
- Kim, Kyoung Jin;
- Lee, Suyong;
- Lee, Hyeon Gyu
WEB OF SCIENCE
4SCOPUS
5초록
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.
키워드
- 제목
- Response surface optimization of beta-glucan extraction from cauliflower mushrooms (Sparassis crispa)
- 저자
- Bae, In Young; Kim, Kyoung Jin; Lee, Suyong; Lee, Hyeon Gyu
- 발행일
- 2012-08
- 유형
- Article
- 권
- 21
- 호
- 4
- 페이지
- 1031 ~ 1035