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A Multi-Class, Multi-Residue Method for Detection of Veterinary Drugs in Multiple Meat Using a Pass-Through Cleanup SPE Technique and UPLC-MS/MS Analysis

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Abstract

A quantitative method using ultra-performance liquid chromatography coupled with tandem mass spectrometry (UPLC-MS/MS) was developed for the determination of 60 compounds, belonging to a variety of veterinary drug (VD) classes, in meat. The included analytes belong to the following VD classes: β-agonists, sulfanilamides, quinolones, macrolides, tetracyclines, β-lactams, nitroimidazoles, glucocorticoids, sex hormones, chloromycetins, sedatives, and olaquindox metabolite. The effective PRiME pass-through cleanup procedure was used to ensure high extraction efficiency and good sample cleanup after a simple liquid extraction of the meat samples with acetonitrile/water. The developed method was validated successfully. Mean recoveries for all analytes ranged from 80 to 116%, with the relative standard deviations (RSDs) ≤ 7.8%. Limits of quantification were in the range 0.05–3.0 μg kg−1 and limits of detection were in the range 0.1–10 μg kg−1. The matrix effect was evaluated for the different meat matrices and was found to be markedly different in different matrices. The validated method was used in a pilot study to analyze real samples of pork, beef, mutton, chicken, and pork liver, lambs’ liver, and chicken liver. Trace amounts of β-agonists, oxytetracycline, quinolones, chloromycetin sulfadimidine, and 3-methyl-quinoxaline-2-carboxylicacid were detected in these samples. In conclusion, this workflow can provide a simpler and more cost-effective alternative to conventional analytical methods and is compatible with processing large sample numbers in a short time period.

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Acknowledgements

The authors wish to thank Dr. Perry G. Wang and Prof. Shulin Peng for their scientific advices. Funding for this work was financially supported by the National Key Research and Development Program of China (No. 2017YFC1601600).

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Correspondence to Yanming Liu or Jianhua Zhu.

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Yanxia Zhang declares no conflict of interest. Xia Xue declares no conflict of interest. Shufang Su declares no conflict of interest. Zhimou Guo declares no conflict of interest. Jun Wang declares no conflict of interest. Lisheng Ding declares no conflict of interest. Yanming Liu declares no conflict of interest. Jianhua Zhu declares no conflict of interest.

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Zhang, Y., Xue, X., Su, S. et al. A Multi-Class, Multi-Residue Method for Detection of Veterinary Drugs in Multiple Meat Using a Pass-Through Cleanup SPE Technique and UPLC-MS/MS Analysis. Food Anal. Methods 11, 2865–2884 (2018). https://doi.org/10.1007/s12161-018-1244-8

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