Food and Fermentation Industries >

2024 , Vol. 50 >Issue 2: 312 - 320

DOI: https://doi.org/10.13995/j.cnki.11-1802/ts.033846

Comparison and analysis of non-targeted metabolomics of different extracts of Rosa roxburghii Tratt

  • LIU Han ,
  • GUO Yinping ,
  • MU Xingyan ,
  • LIU Xiaoyan ,
  • CEN Shunyou
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  • 1(School of Food and Pharmaceutical Engineering, Guiyang University, Guiyang 550005, China)
    2(Guizhou Fruit Processing Engineering Technology Research Center, Guiyang 550005, China)
    3(Guizhou Hongcai Junong Investment Co.Ltd., Liupanshui 553535, China)

Received date: 2022-10-04

  Revised date: 2022-11-10

  Online published: 2024-02-27

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Abstract

One of the more critical steps in metabolomics research is substance extraction. This paper intended to provide a data reference for subsequent metabolomics-based studies and efficient utilization of Rosa roxburghii Tratt. Ultra high-performance liquid chromatography high-resolution mass spectrometry (UPLC-HRMS) was used for the non-targeted qualitative analysis of different extracts of Rosa roxburghii Tratt, which was confirmed by database annotation and identification of metabolites. 316 metabolites were identified under secondary mass spectrometry information. The data of different extracts of Rosa roxburghii Tratt were analyzed by multivariate statistical methods and the different metabolites were screened. Principal component analysis showed that differences in metabolites existed among the different extracts of Rosa roxburghii Tratt. Forty-nine significantly different metabolites could be screened based on the variable importance projection value (VIP, VIP>1.3), P<0.01, and fold change (FC, FC≥3 and ≤0.1) of the orthogonal partial least squares discriminant analysis model. Through the MBRole 2.0 pathway analysis function, 11 metabolic pathways were identified. The biosynthesis pathway of flavonoids was the most significant, with a total of four metabolites involved in flavonoid biosynthesis metabolic pathways. In the present paper, metabolomics-based analysis showed that the metabolites of Rosa roxburghii Tratt had some differences between different extracts, providing data support for the further investigation of their functions.

Key words： non-targeted metabolomics; Rosa roxburghii Tratt; extract; multivariate statistical analysis; metabolic pathways

Cite this article

LIU Han , GUO Yinping , MU Xingyan , LIU Xiaoyan , CEN Shunyou . Comparison and analysis of non-targeted metabolomics of different extracts of Rosa roxburghii Tratt[J]. Food and Fermentation Industries, 2024 , 50(2) : 312 -320 . DOI: 10.13995/j.cnki.11-1802/ts.033846

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