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Chemometrics and antioxidant activity assisted nontargeted metabolomics for the identification of ginger species.

Authors :
Tang W
Zhu SC
Tan XJ
Cao J
Ye LH
Source :
Journal of pharmaceutical and biomedical analysis [J Pharm Biomed Anal] 2023 Sep 20; Vol. 234, pp. 115546. Date of Electronic Publication: 2023 Jun 24.
Publication Year :
2023

Abstract

An ultrahigh-performance liquid chromatography coupled with ion mobility quadrupole time-of-flight mass spectrometry method was developed for the separation and identification of phenols, organic acids, flavonoids and curcumin in different species of ginger. The parameters affecting the separation and response of liquid chromatography, including the stationary phase and mobile phase, were systematically investigated and optimized. To further identify the differential metabolites in the six types of samples, a chemometric approach was introduced. Principal component analysis, cluster analysis and partial least squares discriminant analysis were used to identify the major components in the samples and to compare the compositional differences between the various samples. In addition, antioxidant experiments were designed to investigate the differences in antioxidant activity among the six ginger samples. The method showed good linearity (R <superscript>2</superscript> ≥0.9903), satisfactory precision (RSD% ≤ 4.59 %), low LOD (0.35-25.86 ng/mL) and acceptable recovery (78-109 %) and reproducibility (RSD% ≤ 4.20 %). Therefore, the method has great potential for application in the compositional analysis and quality control of ginger.<br />Competing Interests: Declaration of Competing Interest We declare that we have no financial and personal relationships with other people or organizations that can inappropriately influence our work, there is no professional or other personal interest of any nature or kind in any product, service and/or company that could be construed as influencing the position presented in, or the review of, the manuscript entitled, “Chemometrics and antioxidant activity assisted nontargeted metabolomics for the identification of ginger species”.<br /> (Copyright © 2023 Elsevier B.V. All rights reserved.)

Details

Language :
English
ISSN :
1873-264X
Volume :
234
Database :
MEDLINE
Journal :
Journal of pharmaceutical and biomedical analysis
Publication Type :
Academic Journal
Accession number :
37385094
Full Text :
https://doi.org/10.1016/j.jpba.2023.115546