多指标定量、化学模式识别结合加权TOPSIS与灰色关联度融合模型的木芙蓉叶质量评价  

Quality Evaluation of Hibisci Mutabilis Folium with Multi-index Component Quantitative Combined with Chemical Pattern Recognition,Weighted TOPSIS and Grey Correlation Degree Fusion Model

作　　者：赵山 仝新朵 王晓波 杨丽[1] ZHAO Shan;TONG Xinduo;WANG Xiaobo;YANG Li(Third Affiliated Hospital of Henan University of Chinese Medicine,Zhengzhou 450008,China;School of Pharmacy,Henan University of Chinese Medicine,Zhengzhou 450046,China)

机构地区：[1]河南中医药大学第三附属医院,河南郑州450008 [2]河南中医药大学药学院,河南郑州450046

出　　处：《中国中医药信息杂志》2025年第3期129-135,共7页Chinese Journal of Information on Traditional Chinese Medicine

基　　金：河南省高等学校重点科研指导计划项目(20B550007)。

摘　　要：目的建立木芙蓉叶中11个主要成分定量方法,利用化学模式识别、加权TOPSIS与灰色关联度融合模型评价其质量。方法收集主要产地木芙蓉叶18批,采用外标法同时检测咖啡酸、阿魏酸、水杨酸、秦皮素、金丝桃苷、芦丁、异槲皮苷、山柰酚-3-O-芸香糖苷、银锻苷、β-谷甾醇、胡萝卜苷的含量,并检测浸出物、总灰分和酸不溶性灰分,结合化学模式识别、加权TOPSIS与灰色关联度融合模型对其质量进行综合评价。结果方法学验证表明,各成分线性关系良好,重复性和准确性良好,仪器精密度高,70%甲醇超声提取的木芙蓉叶供试品溶液在24 h内稳定性良好。含量测定结果显示批次间质量差异较大。化学模式识别表明,18批木芙蓉叶聚类明显,明确质量差异化合物为芦丁、咖啡酸、山柰酚-3-O-芸香糖苷、秦皮素和金丝桃苷。18批样品的综合相对贴近度为0.2538~0.6943。结论本研究建立的多指标定量方法可反映不同产地木芙蓉叶的质量差异,化学模式识别联合加权TOPSIS与灰色关联度融合模型可全面分析不同批次木芙蓉叶的质量状况,为木芙蓉叶质量分析和评价奠定基础。Objective To establish a method for 11 main components of Hibisci Mutabilis Folium;To evaluate the quality of Hibisci Mutabilis Folium using the chemical pattern recognition,weighted TOPSIS and grey correlation degree fusion model.Methods A total of 18 batches of Hibisci Mutabilis Folium from main producing areas were collected,and the contents of caffeic acid,ferulic acid,salicylic acid,fraxetin,hyperoside,rutoside,isoquercitrin,kaempferol-3-O-rutinoside,tiliroside,β-sitosterol and eleucheroside were detected by external standard method.The extract,total ash and acid-insoluble ash were detected.The quality was systematically evaluated using chemical pattern recognition,weighted TOPSIS and grey correlation degree fusion model.Results The methodological verification showed that the linear relationship of each component was good,the repeatability and accuracy of the established method were good,the instrument precision was high,and the stability of the test solution of Hibisci Mutabilis Folium ultrasonically extracted with 70%methanol was good within 24 h.The content determination results showed that the quality difference between batches was large.Chemical pattern recognition analysis showed that 18 batches of Hibisci Mutabilis Folium were clustered obviously,and the quality difference compounds were identified as rutoside,caffeic acid,kaempferol-3-O-rutinoside,fraxetin and hyperoside.The relative closeness of 18 batches of samples was between 0.2538 and 0.6943.Conclusion The established multi-index quantitative method can reflect the quality differences of Hibisci Mutabilis Folium from different habitats.Chemical pattern recognition combined with weighted TOPSIS and grey correlation degree fusion model can comprehensively analyze the quality conditions of different batches of Hibisci Mutabilis Folium,which can establish a foundation for the quality analysis and evaluation of Hibisci Mutabilis Folium.

关 键 词：木芙蓉叶 高效液相色谱法 化学模式识别 加权TOPSIS 灰色关联度分析 质量评价 

分 类 号：R284.1[医药卫生—中药学]