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Response surface optimization of beta-glucan extraction from cauliflower mushrooms (Sparassis crispa)
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Bae, In Young | - |
| dc.contributor.author | Kim, Kyoung Jin | - |
| dc.contributor.author | Lee, Suyong | - |
| dc.contributor.author | Lee, Hyeon Gyu | - |
| dc.date.accessioned | 2022-07-16T14:25:00Z | - |
| dc.date.available | 2022-07-16T14:25:00Z | - |
| dc.date.issued | 2012-08 | - |
| dc.identifier.issn | 1226-7708 | - |
| dc.identifier.issn | 2092-6456 | - |
| dc.identifier.uri | https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/164999 | - |
| dc.description.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. | - |
| dc.format.extent | 5 | - |
| dc.language | 영어 | - |
| dc.language.iso | ENG | - |
| dc.publisher | 한국식품과학회 | - |
| dc.title | Response surface optimization of beta-glucan extraction from cauliflower mushrooms (Sparassis crispa) | - |
| dc.type | Article | - |
| dc.publisher.location | 대한민국 | - |
| dc.identifier.doi | 10.1007/s10068-012-0134-x | - |
| dc.identifier.scopusid | 2-s2.0-84866095195 | - |
| dc.identifier.wosid | 000308112000014 | - |
| dc.identifier.bibliographicCitation | Food Science and Biotechnology, v.21, no.4, pp 1031 - 1035 | - |
| dc.citation.title | Food Science and Biotechnology | - |
| dc.citation.volume | 21 | - |
| dc.citation.number | 4 | - |
| dc.citation.startPage | 1031 | - |
| dc.citation.endPage | 1035 | - |
| dc.type.docType | Article | - |
| dc.identifier.kciid | ART001691558 | - |
| dc.description.isOpenAccess | N | - |
| dc.description.journalRegisteredClass | scie | - |
| dc.description.journalRegisteredClass | scopus | - |
| dc.description.journalRegisteredClass | kci | - |
| dc.relation.journalResearchArea | Food Science & Technology | - |
| dc.relation.journalWebOfScienceCategory | Food Science & Technology | - |
| dc.subject.keywordAuthor | Sparassis crispa | - |
| dc.subject.keywordAuthor | beta-glucan | - |
| dc.subject.keywordAuthor | extraction optimization | - |
| dc.subject.keywordAuthor | response surface methodology | - |
| dc.identifier.url | https://link.springer.com/article/10.1007/s10068-012-0134-x | - |
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