Optimization of Water Extraction Process for Glycyrrhiza by Central Composite Design/Response Surface Methodology / 中国药师

ABSTRACT

To optimize the water extraction process for glycyrrhiza. Methods: HPLC was used to determine the con-tents of glycyrrhizic acid and liquiritin. The comprehensive index included the contents of glycyrrhizic acid and liquiritin and the yield of dry extract. The water amount and the extraction time were selected as the independent variables, and the comprehensive index was set as the dependent variable. Design-expert 8. 06 software was used to fit multivariate linear or quadratic multinomial models for the experimental values. Response surface methodology was used to optimize the water extraction process. The prediction was carried out through comparing the observed and predicted values. Results:The regression coefficient of binomial fitting complex model was as high as 0. 979 7. The optimum conditions of extraction process were as follows12-fold amount of water, extracting 3 times with 90 min for each time. The deviation between the observed and predicted values was -1. 72%. Conclusion: Central composite design-response surface methodology is convenient and highly predictive in optimizing the water extraction process for glycyrrhiza, which can be applied in the further membrane separation and purification.