摘要
目的层次分析法结合响应面法优化酒炙菟丝子炮制工艺。方法采用单因素试验法对酒炙菟丝子的加酒量、炒制时间、炒制温度进行考察,层次分析法(AHP)将饮片的外观性状、浸出物和金丝桃苷含量结合进行综合评分,以综合评分值作为响应值,并采用Box-Behnken响应面法对酒炙菟丝子炮制工艺进行优化并进行了验证实验。结果优化后的最佳炮制工艺为药材重量的19%的加酒量,炒制温度148℃,炒制时间17 min。结论本实验确定的酒炙菟丝子工艺切实可行,为菟丝子的工艺研究提供参考,并为该炮制品种在工业化生产中提供一定的指导意义。
Objective Analytic Hierarchy Process(AHP)and Box-Behnken Response Surface Methodology(RSM)were used to optimize the processing technology of stir-fried Cuscutae Semen with wine.Methods The single factor test was used to investi⁃gate the amount of wine added,the time and temperature of the fried Cuscutae Semen,the analytic hierarchy process(AHP)was used to analyze the appearance characters,extracts and Hyperoside of the decoction pieces.The comprehensive score was used as the response value.The Box-Behnken response surface methodology was used to optimize the processing technology of wine-Cuscutae Semen and conduct verification experiments.Results The optimal processing technology after optimization is that the a⁃mount of rice wine added is 19%of the weight of the medicinal materials,the frying temperature is 148℃,and the frying time is 17 minutes.Conclusion The processing of stir-fried Cuscutae Semen with wine determined in this experiment is practical and feasible,which provides a reference for the process research of other processed products of Cuscutae Semen,it also provides cer⁃tain guiding significance for the processing variety in the industrial production.
作者
黄宝泰
刘星彤
毛英民
齐滨
刘莉
HUANG Bao-tai;LIU Xing-tong;MAO Ying-min;QI Bin;LIU Li(College of Pharmacy,Changchun University of Chinese Medicine,Changchun 130117,China;Jilin Gin-seng Academic,Changchun University of Chinese Medicine,Changchun 130117,China)
出处
《时珍国医国药》
CAS
CSCD
北大核心
2022年第8期1890-1894,共5页
Lishizhen Medicine and Materia Medica Research
基金
吉林省科技发展计划项目(20190101010JH)
吉林省科技厅重点研发项目(20210204062YY)
吉林省大学生创新创业训练计划项目(S202110199084)。
关键词
酒炙菟丝子
炮制工艺
层次分析法
Box-Behnken响应面法
多指标综合评分
Cuscutae semen
Processing technology
Analytic hierarchy process
Box-Behnken response surface methodology
Multi-indexes comprehensive scoring method