A chemometric-assisted method for automatic, rapid and non-targeted detection of multi-pesticides in plant-derived foods by gas chromatography-mass spectrometry

Copyright © 2024 Elsevier Ltd. All rights reserved..

An automatic, rapid and non-targeted detection method for multi-pesticides in plant-derived foods was developed by gas chromatography-mass spectrometry and chemometrics. In this method, a novel algorithm named moving window iterative target transformation factor analysis was proposed. Although there are challenges of peak overlapping and background interference, the retention time and corrected mass spectra of unknown pesticides can be automatically obtained through iteration calculation in the 'moving window' with reference to the pesticide mass spectral library. One mixed pesticide standard and nine varieties of plant-derived foods were investigated with the proposed method. By contrast, a fast temperature programme was used to shorten detection time compared to the standard temperature programme. For the mixed standard, the mass spectra and retention times of all 39 pesticides were successfully obtained from the overlapping signal. Furthermore, all spiked pesticides were successfully detected in plant-derived foods within 10 min using a fast temperature programme.

Medienart:

E-Artikel

Erscheinungsjahr:

2024

Erschienen:

2024

Enthalten in:

Zur Gesamtaufnahme - volume:443

Enthalten in:

Food chemistry - 443(2024) vom: 15. Feb., Seite 138573

Sprache:

Englisch

Beteiligte Personen:

Su, Guanglin [VerfasserIn]
Xie, Shue [VerfasserIn]
Jiang, Liwen [VerfasserIn]
Du, Guorong [VerfasserIn]
Li, Pao [VerfasserIn]

Links:

Volltext

Themen:

Chemometrics
Gas chromatography–mass spectrometry
Journal Article
Multi-pesticide
Non-targeted detection
Pesticide Residues
Pesticides
Plant-derived foods

Anmerkungen:

Date Completed 27.02.2024

Date Revised 27.02.2024

published: Print-Electronic

Citation Status MEDLINE

doi:

10.1016/j.foodchem.2024.138573

funding:

Förderinstitution / Projekttitel:

PPN (Katalog-ID):

NLM367858495