Multi-index Components Determination and Chemical Pattern Recognition of Porana Plants

OBJECTIVE To establish an HPLC method for the determination of multiple indexes of Porana plants,and to provide reference for the quality control of Porana plants. METHODS The determination was performed on Agilent 5 TC-C₁₈ column with mobile phase consisted of acetonitrile-0.1% phosphate acid (gradient elution) at the flow rate of 1.0 mL·min^-1.The column temperature was 25℃,and the detection wavelength was set at 345 nm.In addition,chemometrics methods including cluster analysis (CA),principal component analysis (PCA) and partial least squares discriminant analysis (PLS-DA) were used to evaluate the differences of 9 components between different Porana plants.RESULTS Nine components showed good linear relationships within their own ranges (r>0.999 0),the RSD of the precision,stability and repeatability test results were all<3.00%,whose average recoveries were 97.29%-103.21%.The results of CA,PCA showed that 16 batches Porana plants could be separated obviously,and the composition of the samples within the groups had strong similarity,but the differences among the groups were great.According to the variable importance in project analysis of PLS-DA,4 different index components were found,whose were chlorogenic acid and isochlorogenic acid A and N-trans-feruloyltyramine and scopoletin.CONCLUSION This simple and precise method can be used for determination of multiple indexes of Porana plants.The statistical method proves that chlorogenic acid,isochlorogenic acid A,N-trans-feruloyltyramine and scopoletin are the index components for the quality evaluation of Porana plants,which can provide reference for the distinction and quality control of Porana plants.