Identification of Antibacterial Components from Compound Sophora Flavescens Extract by Mean Impact Value Based on Support Vector Regression
The compound Sophora flavescens lotion for external use,which is composed of extracts from Sophora flavescens,Fructus cnidii,Phellodendron amurense,and Cortex platycladi,has been widely used in clinics be-cause of its antibacterial properties.However,it is unclear which components have the most significant antibacterial activity.In this study,the composition-activity relationship between the chemical constituents of compound Sophora flavescens and its antimicrobial activity against Staphylococcus aureus was established using chemometrics,and sig-nificant antibacterial components were identified by mean impact value(MIV)method based on support vector regres-sion(SVR).The fingerprint of the compound Sophora flavescens extract was established by HPLC-UV.A total of 43 batches of compound Sophora flavescens alcohol extracts obtained from different formulations or extraction processes were detected.A total of 35 common peaks in 43 batches of the samples were quantitatively analyzed by the internal standard method and qualitatively analyzed by UPLC-MS/MS.Additionally,the antibacterial rates of samples against S.aureus were determined by ultraviolet-visible spectrophotometry.The PSO-SVR model was used to establish the relationship between the components and antibacterial activities.Based on this model,the MIV method was used to identify the components with significant antibacterial effects.The result showed that the components with significant antibacterial activities were isokurarinone,columbamine,berberine,isopimpinellin,kushenol O,phello-dendrine,magnoflorine,kurarinone,and osthole.The bacteriostatic effects of these components have been reported in previous studies.The results of this study can provide a baseline for future development of antibacterial drugs.
compound Sophora flavescensantibacterial activitycomposition-activity relationshipchemomet-ricsidentification of active components
万方数据
维普
