Optimization of Extraction Technology for Effective Constituents from  by Central Composite Design/Response Surface Methodology

LI Hang; LI Xiao-fang; LI Na; YI Peng; SU Juan; ZHANG Yu-li

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Optimization of Extraction Technology for Effective Constituents from by Central Composite Design/Response Surface Methodology

更新时间：2024-01-04

- Optimization of Extraction Technology for Effective Constituents from by Central Composite Design/Response Surface Methodology
- Chinese Journal of Experimental Traditional Medical Formulae Vol. 18, Issue 14, Pages: 52-55(2012)
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- Published：2012
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LI Hang, LI Xiao-fang, LI Na, et al. Optimization of Extraction Technology for Effective Constituents from by Central Composite Design/Response Surface Methodology[J]. Chinese journal of experimental traditional medical formulae, 2012, 18(14): 52-55.
DOI：

LI Hang, LI Xiao-fang, LI Na, et al. Optimization of Extraction Technology for Effective Constituents from by Central Composite Design/Response Surface Methodology[J]. Chinese journal of experimental traditional medical formulae, 2012, 18(14): 52-55. DOI：

摘要

目的: 优选黄连提取工艺。方法: 以乙醇体积分数、溶剂用量、提取时间为自变量

以总评"归一值"(包括浸膏得率

小檗碱、黄连碱、黄连总碱的质量分数)为因变量

对自变量各水平进行多元线性回归及二项式拟合;采用效应面法优选提取工艺

并对结果进行预测分析。结果: 优选的提取工艺为10倍量50%乙醇提取3次

每次50 min。提取率实测值与预测值偏差为-2.27%

二项式拟合r=0.936 2。结论: 优选的黄连提取工艺简便

预测性良好。

Abstract

Objective: To optimize extraction process of Coptis chinensis. Method: With the concentration of ethanol

the amount of solvent and extraction time as independent variables

overall desirability as dependent variable (including yield of extract

the content of berberine

coptisine and total alkaloids)

each level of independent variables were fitted by multiple linear regression and binomial formula

response surface method was used to optimize extraction process

and prediction was carried out through comparing observed and predicted value. Result: Optimal extraction process was:extracted 3 times with 10 times the amount of 50% ethanol

50 min each time.the regression coefficients of binomial fitting complex model was 0.936 2

deviation between observed and predicted value was-2.27%. Conclusion: Optimized extraction technology of C. chinensis was convenient with high predictive.

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