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Box-Behnken响应面法优选生化汤智能提取工艺
引用本文:马赟,李存玉. Box-Behnken响应面法优选生化汤智能提取工艺[J]. 中国药业, 2022, 0(2): 36-40
作者姓名:马赟  李存玉
作者单位:江苏省泰州市第四人民医院;南京中医药大学药学院
基金项目:国家自然科学基金[81503258]。
摘    要:目的优选生化汤的制备工艺。方法以阿魏酸、藁本内酯、固形物含量,以及藁本内酯与阿魏酸含量的比值、成分总含量与固形物的比值为考察指标,以提取时间、加水量、提取次数为考察因素,采用Box-Behnken响应面法优选生化汤的最佳制备工艺,并进行验证。结果最佳工艺为提取19.20 min,加6倍量水,提取2次。验证试验中,藁本内酯与阿魏酸含量的比值为2.29,成分总含量与固形物的比值为3.34,均与相应理论值(2.32,3.38)相近。结论优选的生化汤智能提取工艺稳定可行,可用于生化汤的制备。

关 键 词:生化汤  传统煎煮  阿魏酸  藁本内酯  智能提取  工艺优化

Optimization of Intelligent Extraction Process of Shenghua Decoction by Box-Behnken Response-Surface Methodology
MA Yun,LI Cunyu. Optimization of Intelligent Extraction Process of Shenghua Decoction by Box-Behnken Response-Surface Methodology[J]. China Pharmaceuticals, 2022, 0(2): 36-40
Authors:MA Yun  LI Cunyu
Affiliation:(The Fourth People's Hospital of Taizhou City,Taizhou,Jiangsu,China 225300;College of Pharmacy,Nanjing University of Chinese Medicine,Nanjing,Jiangsu,China 210023)
Abstract:Objective To optimize the preparation process of Shenghua Decoction.Methods The content of ferulic acid,ligustilide and solid,the ratio of ligustilide content to ferulic acid content,the ratio of total component content to solid were taken as the investigation indexes,and the extraction time,amount of water addition and extraction times were taken as the investigation factors to optimize the preparation process of Shenghua Decoction by the Box-Behnken response-surface methodology,and the validation test was conducted.Results The optimal process was as follows:extracting for 19.2.0 min,adding six times the amount of water,and extracting twice.In the validation test,the ratio of ligustilide content to ferulic acid content was 2.29,and the ratio of total component content to solid was 3.34,which were close to the corresponding theoretical values(2.32,3.38).Conclusion The optimal intelligent extraction process of Shenghua Decoction is stable and feasible,which can be used for the preparation of Shenghua Decoction.
Keywords:Shenghua Decoction  traditional decocting  ferulic acid  ligustilide  intelligent extraction  process optimization
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