Response surface optimization of beta-glucan extraction from cauliflower mushrooms (Sparassis crispa)
- Authors
- Bae, In Young; Kim, Kyoung Jin; Lee, Suyong; Lee, 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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