星点设计-响应面法优化厚朴提取工艺

目的: 通过星点设计-响应面法优化厚朴的提取工艺。 方法: 以乙醇体积分数、提取时间、溶媒比为自变量,以浸膏得率、厚朴酚及和厚朴酚含量的总评"归一值"为因变量,通过对自变量各水平进行多元线性回归及二项式拟合,采用响应面法优选提取工艺,并进行预测分析。 结果: 最佳提取工艺为佳10倍量60%乙醇提取3次,每次95 min。 结论: 星点设计-响应面法优选的厚朴提取工艺简便、合理可行,具有较高的精确度,可推广于大生产应用。

Optimization of Extraction Technology for Magnolia officinalis by Central Composite Design/Response Surface Methodology

Objective: To optimize extraction process of Magnolia officinalis by central composite design/response surface methodology. Method: Taking ethanol concentration, extraction time and the amount of solvent as independent variables, overall desirability of dry extract yield and the content of magnolol and honokiol as dependent variable, each level of independent variables was fitted by multiple linear regression and binomial formula fitting, extraction process was optimized by response surface method, and prediction was carried out through comparing the observed and predicted value. Result: Optimum extraction technology was as following:extracted 3 times with 10-fold the amount of 60% ethanol for 95 minutes each time. Conclusion: This optimized extraction technology of M. officinalis was reasonable, stable and feasible with high accuracy, it could be extended to large-scale production applications.