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。

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.

R282.6

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）