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To explore rapidly the potential chemical markers for differentiating Pseudostellariae Radix from different cultivated fields and germplasms, a method is proposed based on ultra-performance liquid chromatography-triple time-of-flight mass/mass spectrometry (UPLC-Triple TOF-MS/MS) coupled with multivariate statistical analysis. Peak matching, peak alignment, and noise filtering were used in analyzing mass spectrometric data. Accurate m/z value analysis of MS data based on software of database search and MS/MS fragment analysis were applied to identify constituents. The obtained data were statistically analyzed with hierarchical cluster analysis (HCA), principal component analysis (PCA), and partial least squared-discriminant analysis (PLS-DA) to compare the differences among these samples. The PLS-DA loading plot obtained from all mass data showed that 21 compounds were identified as the potential chemical markers to characterize the samples. The results provide experimental data to reveal the influence of ecological environments and germplasms on metabolite biosynthesis in Pseudostellariae Radix.

natural product communications

Chemical Differentiation of Pseudostellariae Radix from Different Cultivated Fields and Germplasms by UPLC-Triple TOF-MS/MS Coupled with Multivariate Statistical Analysis