반응표면분석을 이용한 녹차와 애엽 혼합물의 추출조건 최적화

초록

This study used response surface methodology (RSM) in an effort to optimize the ultrasound-assisted extraction condition of Camellia sinensis L. and Artemisia argyi mixture in order to increase extraction yield in the extract. The effects of three independent variables, X1 (Mixture ratio, 60-80%), X2 (Ratio of water to raw material, 20~100 mL/g), and X3 (Extraction time, 25-145 min), were investigated at three levels using Box-Behnken design (BBD) to obtain the highest extraction efficiency. Y (Extraction yield) was chosen as dependent variable. Our result showed that the coefficient of determination (R2) of the model was 0.9747, with significant at the level of p<0.002. Furthermore, the predicted values of each variable were similar to the actual values. The optimum extraction conditions were as follows: mixture ratio of 85.86%, ratio of water to raw material of 92.73 mL/g, and extraction time of 56.52 min. At these conditions, predicted extraction yield was 30.03%. The analysis of variance (ANOVA) indicated a high goodness of model fit and the success of the RSM method for optimizing extraction conditions of Camellia sinensis L. and Artemisia argyi mixture.

키워드