Literature DB >> 21996062

NMR-based metabolic profiling and differentiation of ginseng roots according to cultivation ages.

Seung-Ok Yang1, Yoo-Soo Shin, Sun-Hee Hyun, Sayeon Cho, Kyong-Hwan Bang, Dongho Lee, Seung Phill Choi, Hyung-Kyoon Choi.   

Abstract

Ginseng is an important herbal resource worldwide, and the adulteration or falsification of cultivation age has been a serious problem in the commercial market. In this study, ginseng (Panax ginseng) roots, which were cultivated for 2-6 years under GAP standard guidelines, were analyzed by NMR-based metabolomic techniques using two solvents. At first, ginseng root samples were extracted with 50% methanol, and analyzed by NMR with D(2)O as the NMR dissolution solvent. The 2-, 3-, 4-, and 5/6-year-old ginseng root samples were separated in PLS-DA-derived score plots. However, 5- and 6-year-old ginseng roots were not separated by the solvent system. Therefore, various solvents were tested to differentiate the 5- and 6-year-old ginseng root samples, and 100% methanol-d(4) was chosen as the direct extraction and NMR dissolution solvent. In the PLS model using data from the 100% methanol-d(4) solvent, 5- and 6-year-old ginseng roots were clearly separated, and the model was validated using internal and external data sets. The obtained RMSEE and RMSEP values suggested that the PLS model has strong predictability for discriminating the age of 5- and 6-years-old ginseng roots. The present study suggests that the age of ginseng could be successfully predicted using two solvents, and the developed method in this study can be used as a standard protocol for discriminating and predicting the ages of ginseng root samples.
Copyright © 2011 Elsevier B.V. All rights reserved.

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Year:  2011        PMID: 21996062     DOI: 10.1016/j.jpba.2011.09.016

Source DB:  PubMed          Journal:  J Pharm Biomed Anal        ISSN: 0731-7085            Impact factor:   3.935


  18 in total

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Authors:  Jia Liu; Yang Liu; Long Zhao; Zhong-Hua Zhang; Zhong-Hua Tang
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4.  Discrimination and prediction of cultivation age and parts of Panax ginseng by Fourier-transform infrared spectroscopy combined with multivariate statistical analysis.

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Journal:  PLoS One       Date:  2017-10-19       Impact factor: 3.240

5.  GC-MS Metabolomic Analysis to Reveal the Metabolites and Biological Pathways Involved in the Developmental Stages and Tissue Response of Panax ginseng.

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Journal:  Molecules       Date:  2017-03-21       Impact factor: 4.411

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Authors:  Seung-Hoon Baek; Ok-Nam Bae; Jeong Hill Park
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Journal:  J Ginseng Res       Date:  2013-07       Impact factor: 6.060

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9.  Discriminating from species of Curcumae Radix (Yujin) by a UHPLC/Q-TOFMS-based metabolomics approach.

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10.  Metabolite profiling of fermented ginseng extracts by gas chromatography mass spectrometry.

Authors:  Seong-Eun Park; Seung-Ho Seo; Kyoung In Lee; Chang-Su Na; Hong-Seok Son
Journal:  J Ginseng Res       Date:  2016-12-24       Impact factor: 6.060

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