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。
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.
出处
《中国实验方剂学杂志》
CAS
北大核心
2012年第14期52-55,共4页
Chinese Journal of Experimental Traditional Medical Formulae
基金
四川省教育厅科研项目(102B076)
成都中医药大学实验技术项目(024043-20)
关键词
黄连
星点设计
效应面优化法
总评“归一值”
小檗碱
黄连碱
黄连总碱
一测多评
Coptis chinensis
central composite design
response surface methodology
overall desirability
berberine
coptisine
total alkaloids from C.chinensis
quantitative analysis of multi-components by single marker
