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Rapid multi-residue LC-MS/MS determination of nitrofuran metabolites, nitroimidazoles, amphenicols, and quinolones in honey with ultrasonic-assisted derivatization - magnetic solid-phase extraction.

Authors :
Melekhin AO
Tolmacheva VV
Goncharov NO
Apyari VV
Parfenov MY
Bulkatov DP
Dmitrienko SG
Zolotov YA
Source :
Journal of pharmaceutical and biomedical analysis [J Pharm Biomed Anal] 2024 Jan 05; Vol. 237, pp. 115764. Date of Electronic Publication: 2023 Oct 04.
Publication Year :
2024

Abstract

A rapid multi-residue LC-MS/MS method for the identification and determination of banned veterinary drugs in honey was developed. A total of 31 investigated veterinary drugs belonging to 4 classes including nitrofurans metabolites, nitroimidazoles, amphenicols, and quinolones were quantified by LC-MS/MS with ESI using one single injection. The sample preparation included treatment with 5-nitro-2-furaldehyde (5-NFA) in a thermostated ultrasonic bath (80 °C, 0.5М НСl, 20 min) to liberate matrix-bound residues of nitrofurans. Magnetic hypercrosslinked polystyrene (HCP/Fe <subscript>3</subscript> O <subscript>4</subscript> ) was proposed for the solid-phase extraction and clean-up of target analytes prior to LC-MS/MS analysis. To evaluate and validate the performance of method, the criteria of the Decision (EC) no 2002/657 were applied. The LOQs of the examined analytes range from 0.3 to 1 μg kg <superscript>-1</superscript> , which indicates good sensitivity to quantify the target compounds in honey. The recoveries of veterinary drugs from 1 g of honey with 50 mg of the sorbent are 97-109% for nitrofuran metabolites, 84-115% for nitroimidazoles, 86-103% for amphenicols, and 97-118% for quinolones. The relative standard deviations of intra-day and inter-day precision analyses (RSD) are less than 16%. This methodology was applied to real honey samples and trace levels of some veterinary drugs were detected.<br />Competing Interests: 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.<br /> (Copyright © 2023 Elsevier B.V. All rights reserved.)

Details

Language :
English
ISSN :
1873-264X
Volume :
237
Database :
MEDLINE
Journal :
Journal of pharmaceutical and biomedical analysis
Publication Type :
Academic Journal
Accession number :
37804641
Full Text :
https://doi.org/10.1016/j.jpba.2023.115764