Abstract

The genus Hypericum comprises about 500 species, but mainly H. perforatum is frequently studied due to the long tradition of application thereof in medicine and ethnomedicine. In this work, metabolite profiling with the use of direct spectroscopic techniques (mass spectrometry/MS, infrared spectroscopy/IR, nuclear magnetic resonance spectroscopy/NMR) and gas chromatography (GC) were combined with multivariate statistical analysis to find a pattern for distinguishing H. perforatum from other Hypericum species (H. annulatul, H. calycinum, H. hirsutum, H. hookerianum, H. humifusum, H. maculatum, H. olympicum and H. pseudohenryi). The PCA (Principal Component Analysis) of the multivariate data showed that PC2 versus PC3 facilitated distinguishing commercial Hypericum samples and H. perforatum from other Hypericum species. Moreover, PC2 versus PC3 revealed by the GC data showed high similarity with the HPLC results.

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