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.

属金丝桃包括约500种，但主要是贯叶连翘经常研究由于医药和民族医药及其应用的悠久传统。在这项工作中，利用直接光谱技术（质谱/ MS，红外光谱/ IR，核磁共振光谱/ NMR）和气相色谱（GC）结合代谢物谱分析与多元统计分析相结合，找到了区分H的模式。连翘从其他金丝桃物种（H. annulatul，H.瓣花，H.陆地棉，H.虎头，H. humifusum，H. maculatum，H。olympicum和H. pseudohenryi）。多元数据的PCA（主成分分析）显示PC2与PC3有助于区分商业金丝桃属植物样品和贯叶连翘与其他金丝桃属植物物种。此外，GC数据揭示的PC2对PC3与HPLC结果具有高度相似性。