文献类型：期刊文献

中文题名：Box-Behnken设计-响应面法优化参芪复方总多糖醇沉工艺

英文题名：Optimization of Ethanol Precipitation Process for Total Polysaccharides Extracted from Shenqi Compound Recipe by Box-Behnken Design Combined with Response Surface Methodology

作者：邵晶[1];孙政华[2];郭玫[1];赵泽军[1];文喜艳[1]

第一作者：邵晶

机构：[1]甘肃中医药大学;[2]怀化市第一人民医院

第一机构：甘肃中医药大学

年份：2016

卷号：47

期号：8

起止页码：1012

中文期刊名：中国医药工业杂志

外文期刊名：Chinese Journal of Pharmaceuticals

收录：CSTPCD;;北大核心:【北大核心2014】；CSCD:【CSCD2015_2016】；

基金：甘肃省教育厅科研项目(2013A-085);甘肃省高等学校基本科研业务费项目(2013-1)

语种：中文

中文关键词：参芪复方;党参;黄芪;总多糖;Box-Behnken设计;响应面法;醇沉工艺

外文关键词：Shenqi compound recipe; Codonopsis pilosula （Franch.） Nannf.; Astragalus membranaceus （Fisch.） Bge. var. mongholicus （Bge.） Hsiao; total polysaccharides; Box-Behnken design; response surface methodology; ethanol precipitation process

摘要：采用水提醇沉法提取参芪复方(党参和黄芪药材)中的总多糖。以提取物中的多糖含量和干浸膏得率的总评归一值(OD值)为考察指标,采用Box-Behnken设计结合响应面分析法,考察醇沉浓度、醇沉时间和浓缩比的影响。采用Design Expert 8.0.5b软件对试验结果进行拟合和建模。根据多元二次回归方程的结果,得到优化的醇沉工艺条件为:醇沉浓度75%,醇沉时间13 h,浓缩比1.0(即1 ml浓缩液中含原药材1 g)。照优化条件重复提取3批,结果所得粗多糖提取物中平均多糖含量为25.54%,浸膏得率为31.41%。实测OD值与预测OD值的偏差为-1.72%,说明本试验建立的模型可靠,预测性良好。
Total polysaccharides were extracted from Shenqi compound recipe [a compound of Codonopsis pilosula （Franch.） Nannf. and Astragalus membranaceus （Fisch.） Bge. var. mongholicus （Bge.） Hsiao] by ethanol precipitation process. The effects of ethanol concentration, precipitation time and concentration ratio of ethanol to crud drugs were investigated by Box-Behnken design combined with response surface methodology with overall desirability （OD） value of polysaccharide content and yield of dry extract as an index. The data were analyzed by Design Expert 8.0.5b software. According to the fitted multivariate quadratic regression equation, the optimal process parameters were as follows： ethanol concentration was 75 %, precipitation time was 13 h and concentration ratio was 1 ml ： 1 g. The results showed that the mean content of polysaccharide and yield of dry extract in three batches of optimal total polysaccharides extract were 25.54 % and 31.41%. The deviation between measured and predicted values of OD was -1.72 %, indicating the model fitted well.