中医药导报2026，Vol.32Issue(7)：42-47,52,7.DOI:10.13862/j.cn43-1446/r.2026.07.007
多指标定量、化学识别模式结合熵权TOPSIS与灰色关联度融合模型的繁缕质量差异评价
Quality Difference Evaluation of Stellariae Mediae Herba from Different Regions Based on Multi-Index Component Quantitative Combined with Chemical Pattern Recognition,Entropy Weight TOPSIS and Grey Relational Analysis Fusion Model
摘要
Abstract
Objective:To establish the high performance liquid chromatography(HPLC)method for 11 main components of Stellariae mediae herba,and to evaluate the quality of Stellariae mediae herba from different producing areas by using the chemical pattern recognition,entropy weight TOPSIS and grey correlation analysis(GRA)fusion model.Methods:A total of 18 batches of Stellariae mediae herba from main producing areas were collected,to simultaneously detect the contents of vanillic acid,caffeic acid,ferulic acid,vitexin,isovitexin,ori-entin,isoorientin,luteolin,apigenin,quercetin and genistein by external standard method.The total ash and acid-insoluble ash were detected.The HPLC data were analyzed by chemical pattern recognition,entropy weight TOPSIS and grey correlation degree fusion model.Results:Under the established HPLC multi-index quantitative conditions,the linear relationship of each component was good,and the repeatability and accuracy of the established method were good.The instrument precision was high,and the stability of the test solution of Stellariae mediae herba ultrasonically extracted with 70％methanol was good within 24 h.The results showed that the quality difference between batches was large.Chemical pattern recognition showed that 18 batches of Stellariae mediae herba were clustered obviously,and the quality difference markers of each sample were vitexin,isovitexin,ferulic acid,orientin,caffeic acid and quercetin.The relative closeness of 18 batches of samples was between 0.321 6 and 0.644 3.Conclusion:The established multi-index quantitative method can reflect the quality differences of Stellariae mediae herba from different habitats.The quality status of different batches of Stellariae mediae herba in 8 provinces was analyzed by chemical pattern recognition combined with entropy weight TOPSIS and GRA fusion model,which established a foundation for the quality analysis and evaluation of Stellariae mediae herba.关键词
繁缕/高效液相色谱法/化学识别模式/熵权TOPSIS/灰色关联分析/质量评价Key words
Stellariae mediae herba/HPLC/chemical pattern recognition/entropy weight TOPSIS/GRA/quality evaluation分类
医药卫生引用本文复制引用
彭晋伟,张晨晨,魏丹,李健,蔡宏亮,任颖玲..多指标定量、化学识别模式结合熵权TOPSIS与灰色关联度融合模型的繁缕质量差异评价[J].中医药导报,2026,32(7):42-47,52,7.基金项目
安徽省教育厅高校优秀拔尖人才培育资助项目(gxbjZD2020061) （gxbjZD2020061）
