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基于熵权法和灰色关联分析法评价安徽省不同产地黄精药材质量
引用本文:冯治国,赵祺,朱强,宋大伟,范欣荣,叶赛金,鲍康德,姜程曦.基于熵权法和灰色关联分析法评价安徽省不同产地黄精药材质量[J].中草药,2021,52(12):3689-3695.
作者姓名:冯治国  赵祺  朱强  宋大伟  范欣荣  叶赛金  鲍康德  姜程曦
作者单位:温州医科大学药学院, 浙江温州 325035;温州医科大学药学院, 浙江温州 325035;池州市九华山黄精研究所, 安徽池州 247100;安徽济人药业有限公司, 安徽亳州 236800;温州医科大学药学院, 浙江温州 325035;池州市九华山黄精研究所, 安徽池州 247100;安徽省九华山佛教医药研究所, 安徽池州 247100
基金项目:安徽济人药业有限公司课题(KJHX2009);青阳县九华黄精康养产业研究院安徽省院士工作站2019年立项课题资助(JHHJYSGZZ19003,JHHJ-YSGZZ19004)
摘    要:目的建立熵权和灰色关联度模型,评价安徽省不同产地黄精Polygonati Rhizoma的质量。方法测定20批不同来源的水分、总灰分、酸不溶灰分、浸出物、无水葡萄糖含量、总皂苷含量、薯蓣皂苷元含量7个主要指标的含量,采用灰色关联度法,构建安徽省黄精药材质量评价模型。结果 20批黄精药材相对关联度介于0.464 8~0.657 7,相对关联度0.55的样品有11批,总体上祁门县的黄精质量评价度最高。祁门县、贵池区、青阳县的样品排名靠前,品质较优;相对关联度0.55的样本集中在石台、岳西、金寨等地,样品的排名相对靠后,品质较差。结论基于多指标成分构建的熵权和灰色关联度模型评价安徽省不同产地黄精药材质量,方法简单客观,为黄精优质种源的筛选提供了参考依据。

关 键 词:黄精  质量评价  灰色关联度法  熵权法  薯蓣皂苷元
收稿时间:2020/9/9 0:00:00

Quality evaluation of Polygonati Rhizoma from different producing areas in Anhui province by entropy weight and grey correlation degree analysis method
FENG Zhi-guo,ZHAO Qi,ZHU Qiang,SONG Da-wei,FAN Xin-rong,YE Sai-jin,BAO Kang-de,JIANG Cheng-xi.Quality evaluation of Polygonati Rhizoma from different producing areas in Anhui province by entropy weight and grey correlation degree analysis method[J].Chinese Traditional and Herbal Drugs,2021,52(12):3689-3695.
Authors:FENG Zhi-guo  ZHAO Qi  ZHU Qiang  SONG Da-wei  FAN Xin-rong  YE Sai-jin  BAO Kang-de  JIANG Cheng-xi
Institution:College of Pharmaceutical Sciences, Wenzhou Medical University, Wenzhou 325035, China;College of Pharmaceutical Sciences, Wenzhou Medical University, Wenzhou 325035, China;Jiuhua mountain Polygonatum institute, Anhui Province, Chizhou 247100, China;Anhui Jiren Pharmaceutical Co., Ltd., Anhui Province, Bozhou 236800, China; College of Pharmaceutical Sciences, Wenzhou Medical University, Wenzhou 325035, China;Jiuhua mountain Polygonatum institute, Anhui Province, Chizhou 247100, China;Jiuhua Mountain Buddhist Medicine Research Institute of Anhui Province, Chizhou 247100, China
Abstract:Objective The quality of Polygonati Rhizoma from different producing areas in Anhui Province was evaluated by entropy weight and grey relational grade model. Method By measuring the content of seven main indicators of moisture, total ash, acid-insoluble ash, extract, anhydrous glucose content, and total saponin content from 20 batches of different sources, the gray correlation method was used to construct the quality evaluation model of medicinal materials in Anhui Province. Results Relative correlation degree of 20 batches of Polygonati Rhizoma medicinal materials ranged from 0.4648 to 0.6577. There were 11 batches of samples with relative correlation degree>0.55. Overall, the quality of Polygonati Rhizoma in Qimen County was the highest. Samples from Qimen County, Guichi District and Qingyang County are ranked top with better quality. The samples with relative degree of correlation less than 0.55 are concentrated in Shitai, Yuexi, Jinzhai and other places. The samples are ranked relatively low and the quality is poor. Conclusion The entropy weight and gray correlation model based on multi-index components were used to evaluate the quality of Polygonati Rhizoma in different producing areas in Anhui Province. The method is simple, objective and comprehensive, which provides a reference for the selection of high-quality provenances.
Keywords:Polygonati Rhizoma  different producing areas  quality evaluation  gray correlation method  entropy weight method  diosgenin
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