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Multi-class, multi-residue determination of 132 veterinary drugs in milk by magnetic solid-phase extraction based on magnetic hypercrosslinked polystyrene prior to their determination by high-performance liquid chromatography-tandem mass spectrometry.

Authors :
Melekhin AO
Tolmacheva VV
Goncharov NO
Apyari VV
Dmitrienko SG
Shubina EG
Grudev AI
Source :
Food chemistry [Food Chem] 2022 Sep 01; Vol. 387, pp. 132866. Date of Electronic Publication: 2022 Mar 31.
Publication Year :
2022

Abstract

A quantitative multi-class multi-residue analytical method was developed for the determination of veterinary drugs in milk by high-performance liquid chromatography - tandem mass spectrometry (HPLC-MS/MS). A total of 132 veterinary drugs investigated belonged to almost 15 classes including sulfonamides, β-lactams, tetracyclines, quinolones, macrolides, nitrofurans, nitroimidazoles, phenicols, lincosamides, pleuromutilins, macrocyclic lactones, quinoxaline antibiotics, benzimidazoles, anthelmintics, coccidiostats and some others. A magnetic solid-phase extraction procedure was developed using magnetic hypercrosslinked polystyrene (HCP/Fe <subscript>3</subscript> O <subscript>4</subscript> ) for the sample preparation prior to HPLC-MS/MS without deproteinization step. The results indicated recoveries of 85-107% for 14 sulfonamides, 85-120% for 13 β-lactams, 89-115% for 4 tetracyclines, 82-119% for 14 quinolones, 82-115% for 8 macrolides, 97-109% for 4 nitrofurans, 84-115% for 10 nitroimidazoles, 89-114% for 3 phenicols, 86-111% for 3 lincosamides, 97-102% for 2 pleuromutilins, 72-88% for 4 macrocyclic lactones, 87-104% for 4 quinoxaline antibiotics, 76-119% for 21 benzimidazoles, 79-115% for 12 anthelmintics, 81-118% for 12 coccidiostats and 75-119 % for 5 unclassified drugs, with relative standard deviations (RSDs) of less than 20%, and the LOQs ranged from 0.05 to 1 μg kg <superscript>-1</superscript> . This methodology was then applied to field-collected real milk samples and trace levels of some veterinary drugs were detected.<br /> (Copyright © 2022 Elsevier Ltd. All rights reserved.)

Details

Language :
English
ISSN :
1873-7072
Volume :
387
Database :
MEDLINE
Journal :
Food chemistry
Publication Type :
Academic Journal
Accession number :
35397265
Full Text :
https://doi.org/10.1016/j.foodchem.2022.132866