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

Copyright © 2023 Elsevier B.V. All rights reserved..

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 (R2 ≥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.

Medienart:

E-Artikel

Erscheinungsjahr:

2023

Erschienen:

2023

Enthalten in:

Zur Gesamtaufnahme - volume:234

Enthalten in:

Journal of pharmaceutical and biomedical analysis - 234(2023) vom: 20. Sept., Seite 115546

Sprache:

Englisch

Beteiligte Personen:

Tang, Wan [VerfasserIn]
Zhu, Si-Chen [VerfasserIn]
Tan, Xiao-Jing [VerfasserIn]
Cao, Jun [VerfasserIn]
Ye, Li-Hong [VerfasserIn]

Links:

Volltext

Themen:

Antioxidant activity
Antioxidants
Chemometrics
Ginger
Ion mobility quadrupole time-of-flight mass spectrometry
Journal Article
Plant metabolomics
Ultrahigh-performance liquid chromatography

Anmerkungen:

Date Completed 28.08.2023

Date Revised 09.01.2024

published: Print-Electronic

Citation Status MEDLINE

doi:

10.1016/j.jpba.2023.115546

funding:

Förderinstitution / Projekttitel:

PPN (Katalog-ID):

NLM358863694