Open AccessEvaluation Of QuEChERS Sample Preparation For Determination Of Benzimidazoles Residues In Meat By UPLC-MS/MS
Author(s) -
O Bayer,
O.V. Bondarets,
V.М. Mykhalska,
Л. В. Шевченко,
O. M. Stupak,
J.V. Fesenko,
Y.V. Dovgopol,
Н. В. Лінійчук,
V.L. Kovalenko,
I.V. Galka,
M. J. Кryvenok,
V.M. Poliakovskyi
Publication year - 2021
Publication title -
metody i obʺekty himičeskogo analiza
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.138
H-Index - 3
eISSN - 2413-6166
pISSN - 1991-0290
DOI - 10.17721/moca.2021.32-40
Subject(s) - quechers , chromatography , mebendazole , chemistry , sample preparation , residue (chemistry) , albendazole , fenbendazole , analyte , pesticide residue , liquid chromatography–mass spectrometry , selected reaction monitoring , detection limit , tandem mass spectrometry , anthelmintic , mass spectrometry , pesticide , veterinary medicine , biology , medicine , ecology , biochemistry , agronomy
A liquid chromatographic-tandem mass spectrometric (LC–MS/MS) multi-residue method has been used for the simultaneous quantification and identification of 9 residues and metabolites of benzimidazole derivatives that the most widely used as anthelmintic veterinary drugs of animals. The modified QuEChERS method was used for sample preparation, which was initially developed for pesticide residue analysis. This paper highlights how quick, easy, cheap, effective and rugged the QuEChERS extraction method is. The method was successfully validated according to the 2002/657/EC guidelines. Recovery of analytes was in the range 99 – 110 %. The decission limits (ССα ) were calculated at MRL level for analytes with an established permitted limit as next: 104.5 μg kg-1 (albendazole), 53.2 μg kg-1 (fenbendazole), 54.2 μg kg-1 (flubendazole), 12.1 μg kg-1 (levamisole), 53.9 μg kg-1 (cambendazole), 64.2 μg kg-1 (mebendazole), 52.5 μg kg-1 (parabendazole), 105.8 μg kg-1 (thiabendazole), 234.2 μg kg-1 (triclobendazole). The suitability of the assay has been assessed through InterVal Software by quo data GmbH (Germany). The method achieves high quality of the results, good recovery, repeatabilities, within-lab reproducibilities, and wide analytical scope and has practical benefits, low cost, high sample throughput, little labor used and few lab ware.