文献类型：期刊文献

中文题名：当归根、茎中总黄酮的提取工艺优化

英文题名：Optimization of the Extraction Technology of Total Flavonoids from the Roots and Stems of Angelica sinensis

作者：罗旭东[1];李成义[1];李旭[1];强正泽[1];冯晓莉[1];王明伟[1];李硕[1];王燕[1]

第一作者：罗旭东

机构：[1]甘肃中医药大学药学院

第一机构：甘肃中医药大学药学院（西北中藏药协同创新中心办公室）

年份：2018

卷号：29

期号：3

起止页码：364

中文期刊名：中国药房

外文期刊名：China Pharmacy

收录：CSTPCD;;北大核心:【北大核心2017】；

基金：2016年甘肃省中医药管理局科研立项项目(No.G2k-2016-34)

语种：中文

中文关键词：当归;根;茎;总黄酮;单因素试验;Box-Behnken设计;响应面法;回流提取;工艺优化

外文关键词：Angelica sinensis;Roots;Stems;Total flavonoids;Single factor test;Box-Behnken design;Response methodology;Reflux extraction;Technology optimization

摘要：目的:优化当归根、茎中总黄酮的提取工艺。方法:以提取溶剂乙醇的体积分数、料液比、提取时间、提取次数等为考察因素,以提取液中总黄酮含量为评价指标,在单因素试验基础上采用Box-Behnken设计-响应面法优化当归根、茎中总黄酮的回流提取工艺。结果:当归根、茎中总黄酮最优提取工艺分别为乙醇体积分数70%、50%,料液比1∶40、1∶30,提取时间1.3、1.7 h,均提取2次;验证试验中总黄酮含量分别为7.253 6、25.144 1 mg/g(RSD=1.57%、1.49%,n=3),与模型预测值(6.942 8、25.703 5 mg/g)的相对误差分别为4.28%、2.24%。结论:优化后的当归根、茎中总黄酮的提取工艺方法简单,重现性和可预测性较好。
OBJECTIVE：To optimize reflux extraction technology of total flavonoids from the roots and stems of Angelica sinensis. METHODS：The reflux extraction technology of total flavonoids from the roots and stems of A. sinensis was optimized by Box-Behnken design-response methodology based on single factor test using volume fraction of extraction solvent ethanol,solide-liquid ration,extraction time,extraction times as investigation factors,the content of total flavonoids in extract as evaluation index. RESULTS：The optimal extraction technology of total flavonoids from the roots and stems of A. sinensis was that volume fractions of ethanol were 70% and 50%;solid-liquid ratios were 1 ∶ 40 and 1 ∶ 30;extraction time were 1.3 h and 1.7 h;The number of extraction times is two times. In verification test,the contents of total flavonoids were 7.253 6,25.144 1 mg/g（RSD=1.57%, 1.49%, n=3）; relative errors of those to predicted value（6.942 8, 25.703 5 mg/g） were 4.28%, 2.24%.CONCLUSIONS： Optimized extraction technology for total flavonoids from the roots and stems of A. sinensis is simple,reproducible and predictable.