Discrimination of white ginseng origins using multivariate statistical analysis of data sets

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Title
Discrimination of white ginseng origins using multivariate statistical analysis of data sets
Author(s)
Hyuk-Hwan Song; J Y Moon; Hyung Won Ryu; B S Noh; J H Kim; Hyeong Kyu Lee; Sei-Ryang Oh
Bibliographic Citation
Journal of Ginseng Research, vol. 38, no. 3, pp. 187-193
Publication Year
2014
Abstract
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 mL and 0.2 mL 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.
Keyword
ginsenosidemetabolomicsPanax ginseng Meyerwhite ginseng
ISSN
1226-8453
Publisher
Korea Soc-Assoc-Inst
DOI
http://dx.doi.org/10.1016/j.jgr.2014.03.002
Type
Article
Appears in Collections:
Ochang Branch Institute > Natural Product Research Center > 1. Journal Articles
Ochang Branch Institute > 1. Journal Articles
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