Quality Evaluation of Hibisci Mutabilis Folium with Multi-index Component Quantitative Combined with Chemical Pattern Recognition,Weighted TOPSIS and Grey Correlation Degree Fusion Model
10.19879/j.cnki.1005-5304.202409235
- VernacularTitle: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
- Author:
Shan ZHAO
1
;
Xinduo TONG
;
Xiaobo WANG
;
Li YANG
Author Information
1. 河南中医药大学第三附属医院,河南 郑州 450008
- Publication Type:Journal Article
- Keywords:
Hibisci Mutabilis Folium;
HPLC;
chemical pattern recognition;
weighted TOPSIS;
grey relational analysis;
quality evaluation
- From:
Chinese Journal of Information on Traditional Chinese Medicine
2025;32(3):129-135
- CountryChina
- Language:Chinese
-
Abstract:
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 0.253 8 and 0.694 3.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.
