4.6 Article

UPLC-QTOF/MS-Based Nontargeted Metabolomic Analysis of Mountain- and Garden-Cultivated Ginseng of Different Ages in Northeast China

Journal

MOLECULES
Volume 24, Issue 1, Pages -

Publisher

MDPI
DOI: 10.3390/molecules24010033

Keywords

mountain-cultivated ginseng; identification; metabolomic analysis; UPLC-QTOF-MS

Funding

  1. Jilin Province Science and Technology Department for Science and Technology Development Project of Jilin Province [20160307008YY]

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Aiming at further systematically comparing the similarities and differences of the chemical components in ginseng of different ages, especially comparing the younger or the older and mountain-cultivated ginseng (MCG), 4, 5, 6-year-old cultivated ginseng (CG) and 12, 20-year-old MCG were chosen as the analytical samples in the present study. The combination of UPLC-QTOF-MSE, UNIFI platform and multivariate statistical analysis were developed to profile CGs and MCGs. By the screening analysis based on UNIFI, 126 chemical components with various structural types were characterized or tentatively identified from all the CG and MCG samples for the first time. The results showed that all the CG and MCG samples had the similar chemical composition, but there were significant differences in the contents of markers. By the metabolomic analysis based on multivariate statistical analysis, it was shown that CG(4-6 years), MCG(12 years) and MCG(20 years) samples were obviously divided into three different groups, and a total of 17 potential age-dependent markers enabling differentiation among the three groups of samples were discovered. For differentiation from other two kinds of samples, there were four robust makers such as -linolenic acid, 9-octadecenoic acid, linoleic acid and panaxydol for CG(4-6 years), five robust makers including ginsenoside Re-1, -Re-2, -Rs(1), malonylginsenoside Rb-2 and isomer of malonylginsenoside Rb-1 for MCG(20 years), and two robust makers, 24-hydroxyoleanolic acid and palmitoleic acid, for MCG(12 years) were discovered, respectively. The proposed approach could be applied to directly distinguish MCG root ages, which is an important criterion for evaluating the quality of MCG. The results will provide the data for the further study on the chemical constituents of MCG.

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