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KMID : 0352720140380030187
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Journal of Ginseng Research
2014 Volume.38 No. 3 p.187 ~ p.193
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Discrimination of white ginseng origins using multivariate statistical analysis of data sets
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Song Hyuk-Hwan
Moon Ji-Young
Ryu Hyung-Won
Noh Bong-Soo
Kim Jeong-Han
Lee Hyeong-Kyu
Oh Sei-Ryang
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Abstract
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Background: White ginseng (Panax ginseng Meyer) is commonly distributed as a health food in food markets. However, there is no practical method for distinguishing Korean white ginseng (KWG) from Chinese white ginseng (CWG), except for relying on the traceability system in the market. Methods: Ultra-performance liquid chromatography quadrupole time-of-flight mass spectrometry combined with orthogonal partial least squares discrimination analysis (OPLS-DA) was employed to discriminate between KWG and CWG. Results: The origins of white ginsengs in two test sets (1.0㎕ and 0.2㎕ injections) could be successfully discriminated by the OPLS-DA analysis. From OPLS-DA S-plots, KWG exhibited tentative markers derived from ginsenoside Rf and notoginsenoside R3 isomer, whereas CWG exhibited tentative markers derived from ginsenoside Ro and chikusetsusaponin Iva. Conclusion: Results suggest that ultra-performance liquid chromatography quadrupole time-of-flight mass spectrometry coupled with OPLS-DA is an efficient tool for identifying the difference between the geographical origins of white ginsengs.
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KEYWORD
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ginsenoside, metabolomics, Panax ginseng Meyer, white ginseng
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