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Background : Wild-simulated ginseng (WSG, Panax ginseng C. A. Meyer) in Korea which depends on an artificial forest growth method.
Methods and Results : WSG samples were collected from 8 different regions in Korea in October, 2017, and these were analyzed by ultraperformance liquid chromatography-quadrupole time-of-flight mass spectrometry (UPLC-QTOF MS) using optimized analytical methods to compare the metabolite patterns to cultivated regions. Furthermore, their metabolite compositions differed according to individual plant samples. The metabolite profiling data were processed by multi-variate statistical analyses such as PCA and PLS-DA to determine the differences among geographical origins. To identify significant metabolites according to regional variances of WSG, more sophisticated multi-variate statistical analyses such as metabolite selection should be performed.
Conclusion : This metabolomics approach can also be applied to evaluate the overall quality of WSG, as well as to discriminate the cultivars for the medicinal plant industry.
