Chemical Pattern Recognition of Penthori Herba from Different Producing Areas and Content Determination of Its Differential Components
Objective:To establish the fingerprint of Penthori Herba from different producing areas and conduct chemical pattern recognition and content determination of differential components.Methods:High-performance liquid chromatography(HPLC)was used to establish the fingerprint of 23 batches of Penthori Herba from different producing areas,identifying common peaks and evaluating their similarities.Cluster analysis,principal component analysis(PCA),and orthogonal partial least squares discriminant analysis(OPLS-DA)were employed to analyze the 23 batches of Penthori Herba and screen for differential components.Results:A total of 25 common peaks were identified among the 23 batches of Penthori Herba.Peaks 2,6,9,16,22,and 25 were confirmed as gallic acid,protocatechuic acid,catechin,quercetin,5-hydroxy-flavanone-7-O-β-D-glucoside,and thonningian A,respectively.The similarity among the 23 batches ranged from 0.697 to 0.951.Cluster analysis categorized the 23 batches of Penthori Herba into three groups.PCA and OPLS-DA further confirmed that these batches could be clustered into three categories,consistent with the results of the cluster analysis,leading to the identification of 11 differential components.Quantitative analysis of gallic acid,protocatechuic acid,catechin,quercetin,5-hydroxy-flavanone-7-O-β-D-glucoside,and thonningian A revealed average content of 0.503-0.780,0.122-0.231,0.306-1.183,0.625-0.883,0.301-0.481,and 2.333-3.952 mg·g-1,respectively.Conclusion:The combination of fingerprinting and chemical pattern recognition effectively screens for differential components in Penthori Herba from different regions,providing a reference for improving quality standards.
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