Volatile/semi-volatile metabolites profiling in living vegetables via a novel covalent triazine framework based solid-phase microextraction fiber coupled with GC-QTOF-MS.
Chinese cabbage
Covalent triazine framework
Fipronil contamination
GC-QTOF-MS
In vivo sampling
Solid-phase microextraction
Journal
Food chemistry
ISSN: 1873-7072
Titre abrégé: Food Chem
Pays: England
ID NLM: 7702639
Informations de publication
Date de publication:
01 Jan 2024
01 Jan 2024
Historique:
received:
03
01
2023
revised:
26
07
2023
accepted:
29
07
2023
medline:
7
9
2023
pubmed:
8
8
2023
entrez:
7
8
2023
Statut:
ppublish
Résumé
An in vivo solid-phase microextraction (SPME) fiber with high-coverage capture capacity of plant endogenous substances based on the porous covalent triazine framework (CTF) material was developed. The CTF fiber coupled with gas chromatographic quadrupole time-of-flight mass spectrometer (GC-QTOF-MS) analysis was used for monitoring untargeted endogenous metabolites in living Chinese cabbage plants (Brassica campestris L. ssp. chinensis Makino (var. communis Tsen et Lee)). A total of 100 endogenous substances were identified, mainly including aldehydes, ketones, acids, alcohols, phenols, alkanes, alkenes, esters, isorhodanates, nitriles, as well as indole and its derivatives. Using the in vivo metabolites analysis method, Chinese cabbage plants at different growing stages demonstrated significantly statistical differences in plant metabolism. In addition, metabolic dysregulation of Chinese cabbage plants under fipronil pesticide contamination was observed. To summarize, the proposed approach provides a feasible method to capture metabolic information in living vegetables and for risk assessment of pesticide use during agricultural production.
Identifiants
pubmed: 37549619
pii: S0308-8146(23)01682-5
doi: 10.1016/j.foodchem.2023.137064
pii:
doi:
Substances chimiques
Alcohols
0
Volatile Organic Compounds
0
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
137064Informations de copyright
Copyright © 2023 Elsevier Ltd. All rights reserved.
Déclaration de conflit d'intérêts
Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.