Multiclass Multipesticide Residue Analysis in Fish Matrix by a Modified QuEChERS Method Using Gas Chromatography with Mass Spectrometric Determination.


Journal

Journal of AOAC International
ISSN: 1944-7922
Titre abrégé: J AOAC Int
Pays: England
ID NLM: 9215446

Informations de publication

Date de publication:
01 Jan 2020
Historique:
pubmed: 29 8 2019
medline: 29 6 2021
entrez: 29 8 2019
Statut: ppublish

Résumé

Pesticide residue in fish is a global food safety concern. However, very few validated methods are available targeting simultaneous analysis of multiple classes of pesticides. The aim of this study was to validate a quick, easy, cheap, effective, rugged, and safe workflow-based method for the quantitative determination of multiclass pesticides in fish matrix using GC-MS determination. The sample was extracted with acetonitrile, and the cleanup method involved dispersive solid-phase extraction with C-18 sorbent, which effectively scavenged the coextracted matrix components and removed those from the extract. The data on recovery and precision of the method satisfied the criteria of SANTE/11813/2017 guidelines. Average recoveries of pesticides were in the range of 80-120% with precision RSDs ≤20%. The LOD and LOQ were in the ranges of 0.001-0.029 and 0.005-0.125 µg/mL, respectively, for all pesticides. The expanded uncertainty was in the range of 14-20%, based on the single-laboratory validation data (coverage factor, k = 2, confidence level, 95%). The validation data prove that the method is convenient and acceptable for the routine analysis of multiclass pesticide residues in fish matrices for regulatory compliance. The study achieves multiresidue analysis of pesticides in fish matrix with MS-based confirmation. The method combines the advantages of nontarget analysis based on National Institute of Standards and Technology library matching in full scan mode with selected-ion monitoring-based sensitivity.

Sections du résumé

BACKGROUND BACKGROUND
Pesticide residue in fish is a global food safety concern. However, very few validated methods are available targeting simultaneous analysis of multiple classes of pesticides.
OBJECTIVE OBJECTIVE
The aim of this study was to validate a quick, easy, cheap, effective, rugged, and safe workflow-based method for the quantitative determination of multiclass pesticides in fish matrix using GC-MS determination.
METHOD METHODS
The sample was extracted with acetonitrile, and the cleanup method involved dispersive solid-phase extraction with C-18 sorbent, which effectively scavenged the coextracted matrix components and removed those from the extract. The data on recovery and precision of the method satisfied the criteria of SANTE/11813/2017 guidelines. Average recoveries of pesticides were in the range of 80-120% with precision RSDs ≤20%. The LOD and LOQ were in the ranges of 0.001-0.029 and 0.005-0.125 µg/mL, respectively, for all pesticides. The expanded uncertainty was in the range of 14-20%, based on the single-laboratory validation data (coverage factor, k = 2, confidence level, 95%).
CONCLUSIONS CONCLUSIONS
The validation data prove that the method is convenient and acceptable for the routine analysis of multiclass pesticide residues in fish matrices for regulatory compliance.
HIGHLIGHTS CONCLUSIONS
The study achieves multiresidue analysis of pesticides in fish matrix with MS-based confirmation. The method combines the advantages of nontarget analysis based on National Institute of Standards and Technology library matching in full scan mode with selected-ion monitoring-based sensitivity.

Identifiants

pubmed: 31455466
pii: 5717533
doi: 10.5740/jaoacint.19-0205
doi:

Substances chimiques

Pesticide Residues 0
Pesticides 0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

62-67

Informations de copyright

© AOAC INTERNATIONAL 2020. All rights reserved. For permissions, please email: journals.permissions@oup.com.

Auteurs

Swagata Mandal (S)

Bidhan Chandra Krishi Viswavidyalaya, Directorate of Research, All India Network Project on Pesticide Residue Laboratory, Kalyani, Nadia, West Bengal, India, 741235.

Rajlakshmi Poi (R)

Bidhan Chandra Krishi Viswavidyalaya, Directorate of Research, All India Network Project on Pesticide Residue Laboratory, Kalyani, Nadia, West Bengal, India, 741235.

Sudip Bhattacharyya (S)

Bidhan Chandra Krishi Viswavidyalaya, Directorate of Research, All India Network Project on Pesticide Residue Laboratory, Kalyani, Nadia, West Bengal, India, 741235.

Inul Ansary (I)

Burdwan University, Department of Chemistry, West Bengal, India, 712104.

Subrata Datta Roy (SD)

Bidhan Chandra Krishi Viswavidyalaya, Directorate of Research, All India Network Project on Pesticide Residue Laboratory, Kalyani, Nadia, West Bengal, India, 741235.

Dipak Kumar Hazra (DK)

Bidhan Chandra Krishi Viswavidyalaya, Directorate of Research, All India Network Project on Pesticide Residue Laboratory, Kalyani, Nadia, West Bengal, India, 741235.

Rajib Karmakar (R)

Bidhan Chandra Krishi Viswavidyalaya, Directorate of Research, All India Network Project on Pesticide Residue Laboratory, Kalyani, Nadia, West Bengal, India, 741235.

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Classifications MeSH