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

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-...

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Autores principales: Song, Hyuk-Hwan, Moon, Ji Young, Ryu, Hyung Won, Noh, Bong-Soo, Kim, Jeong-Han, Lee, Hyeong-Kyu, Oh, Sei-Ryang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4213836/
https://www.ncbi.nlm.nih.gov/pubmed/25378993
http://dx.doi.org/10.1016/j.jgr.2014.03.002
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author Song, Hyuk-Hwan
Moon, Ji Young
Ryu, Hyung Won
Noh, Bong-Soo
Kim, Jeong-Han
Lee, Hyeong-Kyu
Oh, Sei-Ryang
author_facet Song, Hyuk-Hwan
Moon, Ji Young
Ryu, Hyung Won
Noh, Bong-Soo
Kim, Jeong-Han
Lee, Hyeong-Kyu
Oh, Sei-Ryang
author_sort Song, Hyuk-Hwan
collection PubMed
description 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 μL and 0.2 μL 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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spelling pubmed-42138362014-11-06 Discrimination of white ginseng origins using multivariate statistical analysis of data sets Song, Hyuk-Hwan Moon, Ji Young Ryu, Hyung Won Noh, Bong-Soo Kim, Jeong-Han Lee, Hyeong-Kyu Oh, Sei-Ryang J Ginseng Res Research Article 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 μL and 0.2 μL 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. 2014-04-03 2014-07 /pmc/articles/PMC4213836/ /pubmed/25378993 http://dx.doi.org/10.1016/j.jgr.2014.03.002 Text en © 2014 The Korean Society of Ginseng. Published by Elsevier B.V. All rights reserved. http://creativecommons.org/licenses/by-nc/3.0/ This is an Open Access article distributed under the terms of the CC-BY-NC License (http://creativecommons.org/licenses/by-nc/3.0).
spellingShingle Research Article
Song, Hyuk-Hwan
Moon, Ji Young
Ryu, Hyung Won
Noh, Bong-Soo
Kim, Jeong-Han
Lee, Hyeong-Kyu
Oh, Sei-Ryang
Discrimination of white ginseng origins using multivariate statistical analysis of data sets
title Discrimination of white ginseng origins using multivariate statistical analysis of data sets
title_full Discrimination of white ginseng origins using multivariate statistical analysis of data sets
title_fullStr Discrimination of white ginseng origins using multivariate statistical analysis of data sets
title_full_unstemmed Discrimination of white ginseng origins using multivariate statistical analysis of data sets
title_short Discrimination of white ginseng origins using multivariate statistical analysis of data sets
title_sort discrimination of white ginseng origins using multivariate statistical analysis of data sets
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4213836/
https://www.ncbi.nlm.nih.gov/pubmed/25378993
http://dx.doi.org/10.1016/j.jgr.2014.03.002
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