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Optimization by response surface methodology of lutein recovery from paprika leaves using accelerated solvent extraction
- Kang, Jae-Hyun;
- Kim, Suna;
- Moon, BoKyung
WEB OF SCIENCE
58SCOPUS
64초록
In this study, we used response surface methodology (RSM) to optimize the extraction conditions for recovering lutein from paprika leaves using accelerated solvent extraction (ASE). The lutein content was quantitatively analyzed using a UPLC equipped with a BEH C18 column. A central composite design (CCD) was employed for experimental design to obtain the optimized combination of extraction temperature (degrees C), static time (min), and solvent (EtOH, %). The experimental data obtained from a twenty sample set were fitted to a second-order polynomial equation using multiple regression analysis. The adjusted coefficient of determination (R-2) for the lutein extraction model was 0.9518, and the probability value (p = 0.0000) demonstrated a high significance for the regression model. The optimum extraction conditions for lutein were temperature: 93.26 degrees C, static time: 5 min, and solvent: 79.63% EtOH. Under these conditions, the predicted extraction yield of lutein was 232.60 mu g/g. (C) 2016 Elsevier Ltd. All rights reserved.
키워드
- 제목
- Optimization by response surface methodology of lutein recovery from paprika leaves using accelerated solvent extraction
- 저자
- Kang, Jae-Hyun; Kim, Suna; Moon, BoKyung
- 발행일
- 2016-08
- 유형
- Article
- 저널명
- Food Chemistry
- 권
- 205
- 페이지
- 140 ~ 145
- 언어
- ENG
- 출판사
- ELSEVIER SCI LTD
- 발행국가
- 영국
- 분량
- 6 페이지
- ISSN
- E 1873-7072
P 0308-8146