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METHODS AND OBJECTS OF CHEMICAL ANALYSIS
An international journal devoted to all aspects of analytical chemistry ISSN 2413-6166 (Online), ISSN 1991-0290 (Print) |
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Evaluation of QuEChERS Sample Preparation for Determination of Benzimidazoles Residues in Meat by UPLC-MS/MS |
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* Corresponding authors *e-mail: mykhalska.vm@gmail.com |
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Methods Objects Chem. Anal., 2021, 16(1), p. 32-40 |
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Abstract
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.
Keywords: аnthelmintic, benzimidazoles, residual content, liquid chromatography, mass spectrometry, meat
Article language: Ukr
Publisher: Taras Shevchenko National University, Kiev Ukraine
(Analytical chemistry department at Taras Shevchenko
National University, 64 Vladimirskaya STR., Kiev, 01601 UKRAINE)
analysis@univ.kiev.ua,
www.univ.kiev.ua,
+380 (44) 2393444
The journal is indexed in SCOPUS and Web of Science
The journal website: www.moca.net.ua
The articles in this journal are licensed under
CC BY 4.0

