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Quick Multi-Class Determination of Residues of Antimicrobial Veterinary Drugs in Animal Muscle by LC-MS/MS

Overview
Journal Molecules
Publisher MDPI
Specialty Biology
Date 2018 Jul 18
PMID 30012996
Citations 2
Authors
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Abstract

On the basis of the highly sensitive and selective liquid chromatography-tandem mass spectrometry technique, a generic extraction solvent and a sample dilution method was developed for the residue analysis of different polar veterinary drugs known as fluoroquinolones, sulfonamides, macrolides, and tiamulin in chicken muscle. The results showed that the matrix-matched calibration curves of all 10 compounds were in an effective linear relationship (² ≥ 0.997) in the range of 0.2⁻100 μg L. At three spiking levels of 2 (5), 50, and 100 μg kg, average recoveries of analytes were between 67.1% and 96.6% with relative standard deviations of intra-day and inter-day below 20%. The limits of detection and limits of quantification of the method were in the range of 0.3⁻2.0 μg kg and 2.0⁻5.0 μg kg, respectively, which were significantly lower than their maximum residue limits. In addition, the intensity of the target analytes and its corresponding matrix effects were obviously related to the sample dilution times (matrix concentration). There were no significant differences ( > 0.05) in the average content of almost any of the analytes in medicated chickens between this method and the method in the literature for determining analytes. Lastly, the proposed method was successfully applied for the simultaneous analysis of 10 common veterinary drugs in food animal muscle tissues.

Citing Articles

Development of a Quantitative Method for Detection of Multiclass Veterinary Drugs in Feed Using Modified QuPPe Extraction and LC-MS/MS.

Jang S, Seo H, Kim H, Kim H, Ahn J, Cho H Molecules. 2022; 27(14).

PMID: 35889354 PMC: 9318824. DOI: 10.3390/molecules27144483.


Tetracycline Residues in Bovine Muscle and Liver Samples from Sicily (Southern Italy) by LC-MS/MS Method: A Six-Year Study.

Cammilleri G, Pulvirenti A, Vella A, Macaluso A, Lo Dico G, Giaccone V Molecules. 2019; 24(4).

PMID: 30781339 PMC: 6413177. DOI: 10.3390/molecules24040695.

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