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OA
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
目的:建立繁缕中11个主要成分含量检测的高效液相色谱(HPLC)法,利用化学识别模式、熵权逼近理解排序法(TOPSIS)与灰色关联分析(GRA)融合模型评价不同产地繁缕质量.方法:收集主要产地繁缕18批,建立外标法同时检测香草酸、咖啡酸、阿魏酸、牡荆素、异牡荆素、荭草素、异荭草素、木犀草素、芹菜素、槲皮素、染料木素的含量,并检查总灰分和酸不溶性灰分.根据检测数据结合化学识别模式、熵权TOPSIS与灰色关联融合模型对其质量进行综合评价.结果:在建立的多指标定量HPLC条件下,各成分线性关系良好,所建方法的重复性和准确性良好,仪器精密度高,70％甲醇超声提取的繁缕供试品溶液24 h内稳定性良好.测定结果显示批次间质量差异较大.化学计量学分析表明18批繁缕聚类明显,区分各样品的质量差异标志物为牡荆素、异牡荆素、阿魏酸、荭草素、咖啡酸和槲皮素.18批样品的综合相对贴近度在0.321 6～0.644 3之间.结论:建立的多指标定量方法可以反映不同产地繁缕的质量差异;化学识别模式联合熵权TOPSIS与GRA融合模型全面分析了 8省不同批次繁缕的质量状况,为繁缕质量分析和评价奠定了基础.
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.
彭晋伟;张晨晨;魏丹;李健;蔡宏亮;任颖玲
中国人民解放军联勤保障部队第九○一医院,安徽 合肥 230031中国人民解放军联勤保障部队第九○一医院,安徽 合肥 230031中国人民解放军联勤保障部队第九○一医院,安徽 合肥 230031中国人民解放军联勤保障部队第九○一医院,安徽 合肥 230031安徽医科大学药学院,安徽 合肥 230032中国人民解放军联勤保障部队第九○一医院,安徽 合肥 230031
医药卫生
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
Stellariae mediae herbaHPLCchemical pattern recognitionentropy weight TOPSISGRAquality evaluation
《中医药导报》 2026 (7)
42-47,52,7
安徽省教育厅高校优秀拔尖人才培育资助项目(gxbjZD2020061)
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