The quantitative analysis of multiple components with a single marker (QAMS) method was firstly established for simultaneous determination of 18 active components in Ilex kudingcha C. J. Tseng by HPLC. Using rutin, isochlorogenic acid A and kudinoside A as internal refererence substances (IRS), compatibility results showed that the relative correction factors (RCFs) of all compounds showed good reproducibility under different chromatographic conditions. On the basis of previous studies, the accuracy of the QAMS method was systematically evaluated by investigating the influences of curve intercept, analytes and IRS concentration. The results showed that the concentration (especially at low level) of analytes and curve intercept were the major influencing parameters for the LRG-QAMS method (LRG = linear regression), whereas the influence of IRS concentration seemed more apparent in terms of the AVG-QAMS method (AVG = average). The two approaches were complementary with each other. In addition, hierarchical clustering analysis (HCA), principal components analysis (PCA) and similarity analysis (SA) were performed to differentiate and classify the samples based on the contents of 18 marker compounds. The results of the different chemometric analyses were completely consistent with each other, and could be supported by the quantification results.
Keywords: HPLC; Ilex kudingcha C. J. Tseng; chemomerics; quantitative analysis of multi-components with a single marker (QAMS); relative correction factor.