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반응 표면 분석법을 사용한 새우껍질에서 astaxanthin 추출 조건의 최적화

Optimization Condition of Astaxanthin Extract from Shrimp Waste Using Response Surface Methodology

  • 윤창환 (인하대학교 화학공학과) ;
  • 복희성 (인하대학교 화학공학과) ;
  • 최대기 (한국과학기술연구원 연료전지센터) ;
  • 노경호 (인하대학교 화학공학과)
  • Yoon, Chang Hwan (Department of Chemical Engineering, Inha University) ;
  • Bok, Hee Sung (Department of Chemical Engineering, Inha University) ;
  • Choi, Dae Ki (Fuel Cell Research Center, Korea Institute of Science and Technology) ;
  • Row, Kyung Ho (Department of Chemical Engineering, Inha University)
  • 투고 : 2011.11.17
  • 심사 : 2012.01.06
  • 발행 : 2012.06.01

초록

최적의 추출조건을 찾는데 매우 유용한 방법인 반응 표면 분석법(RSM, response surface methodology)을 사용하여 새우껍질로부터 astaxanthin 추출조건을 최적화하였다. 추출조건은 용매 에탄올과 추출물질의 비율, 추출온도($^{\circ}C$), 추출시간(min)의 세가지 독립변수를 설정하여 BBD (Box-Behnken design) 방법을 이용하였다. 이 BBD 모델링은 0.9218의 $R^2{_{adj}}$값과 0.0003의 확률 값 p 값으로 회귀 모델에 대한 신뢰도를 입증하였다. RSM 분석을 통해 찾아낸 새우껍질로부터 astaxanthin의 최적 추출조건은 에탄올 용매비 1:29.7, 추출온도 $49.5^{\circ}C$, 추출시간 59.9 분이고, 이 때 astaxanthin 추출량은 $17.80{\mu}g/g$으로 예측하였다. 최적 수율로 예측된 결과는 각각의 조건에 따른 실험을 통해 그 예측의 정확도를 확인하였으며 $17.77{\mu}g/g$으로 예측조건과 비슷한 결과를 보였다.

A 17-run Box-Behnken design (BBD) was used to optimize the extraction conditions of astaxanthin from shrimp waste. Three factors such as ratio of ethanol to raw material, extraction temperature ($^{\circ}C$) and extraction time (min) were investigated. The adjusted coefficient of determination ($R^2{_{adj}}$) for the model was 0.9218, and the probability value (p=0.0003) demonstrated a high significance for the regression model. The optimum extraction conditions were found to be: optimized ratio of ethanol to raw material 29.7, extraction temperature $49.5^{\circ}C$ and extraction time 59.9 min. Under these conditions, the mean extraction yield of astaxanthin was $17.80{\mu}g/g$, which was in good agreement with the predicted model value. Under these conditions, validation experiments were done and the mean extraction yield of astaxanthin was $17.77{\mu}g/g$, which is in good agreement with the predicted model value.

키워드

과제정보

연구 과제 주관 기관 : 한국연구재단(NRF)

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