Investigation of metabolites accumulation in medical plant Gentiana rigescens during different growing stage using LC-MS/MS and FT-IR

Botanical Studies
Yu PanHeng-Yu Huang

Abstract

Gentiana rigescens, an important medicinal plant in China, has been widely cultivated in Yunnan province, China. Previous studies were focused on analysis and determination of the metabolites isolated from this species, the accumulation of these metabolites during growth period are not yet clear. In this study, samples for the experiments were obtained by tissue culture. FT-IR and LC-MS/MS method were performed to distinguish the variation on the major metabolites in G. rigescens during growing stage when combined with chemometrics. Methodology validations were all within the required limits. The metabolites were visually different in tissue culture samples and mature plants. The diversity of metabolites increased proportionally with plant growth. The quantitative analysis showed the content of gentiopicroside was significantly vary during different growing stage. The highest content of gentiopicroside (122.93 ± 7.01 mg/g) was detected in leaf of regenerated plantlet, whereas its content in root significantly increased along with underground parts growth. Moreover, flavonoids mainly distributed in aerial parts showed potential competitive relationship during plant growth. The distribution and accumulation of metabolites are ass...Continue Reading

References

Jul 1, 1996·Phytochemistry·R X TanK Hostettmann
Mar 23, 2007·Journal of Natural Products·Min XuChong-Ren Yang
Jul 22, 2014·Journal of Pharmaceutical and Biomedical Analysis·Chunhao YuChun-Su Yuan
Sep 5, 2014·Journal of Agricultural and Food Chemistry·Santosh LohumiByoung-Kwan Cho

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Citations

Nov 29, 2017·Molecules : a Journal of Synthetic Chemistry and Natural Product Chemistry·Yan XuRui Zeng
Mar 19, 2020·Molecules : a Journal of Synthetic Chemistry and Natural Product Chemistry·Yuangui YangYuanzhong Wang
Jul 1, 2020·Evidence-based Complementary and Alternative Medicine : ECAM·Beauty E OmoruyiGraeme Bradley

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Methods Mentioned

BETA
nuclear magnetic resonance
infrared spectroscopy
PCA

Software Mentioned

Omnic
Labsolutions
SIMCA

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