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.

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.