Food Chemistry, volume 387, pages 132866
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
Publication type: Journal Article
Publication date: 2022-09-01
Journal:
Food Chemistry
Quartile SCImago
Q1
Quartile WOS
Q1
Impact factor: 8.8
ISSN: 03088146, 18737072
General Medicine
Analytical Chemistry
Food Science
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/Fe3O4) 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-1. This methodology was then applied to field-collected real milk samples and trace levels of some veterinary drugs were detected.
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- We do not take into account publications that without a DOI.
- Statistics recalculated only for publications connected to researchers, organizations and labs registered on the platform.
- Statistics recalculated weekly.
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Melekhin A. O. et al. 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 // Food Chemistry. 2022. Vol. 387. p. 132866.
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Melekhin A. O., Tolmacheva V., Goncharov N. O., Apyari V., Dmitrienko S., Shubina E. G., Grudev A. I. 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 // Food Chemistry. 2022. Vol. 387. p. 132866.
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TY - JOUR
DO - 10.1016/j.foodchem.2022.132866
UR - https://doi.org/10.1016%2Fj.foodchem.2022.132866
TI - 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
T2 - Food Chemistry
AU - Melekhin, A O
AU - Tolmacheva, V.V.
AU - Goncharov, N O
AU - Apyari, Vladimir
AU - Dmitrienko, S
AU - Shubina, E G
AU - Grudev, A I
PY - 2022
DA - 2022/09/01 00:00:00
PB - Elsevier
SP - 132866
VL - 387
SN - 0308-8146
SN - 1873-7072
ER -
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@article{2022_Melekhin,
author = {A O Melekhin and V.V. Tolmacheva and N O Goncharov and Vladimir Apyari and S Dmitrienko and E G Shubina and A I Grudev},
title = {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},
journal = {Food Chemistry},
year = {2022},
volume = {387},
publisher = {Elsevier},
month = {sep},
url = {https://doi.org/10.1016%2Fj.foodchem.2022.132866},
pages = {132866},
doi = {10.1016/j.foodchem.2022.132866}
}