Literature DB >> 34894354

Nontargeted screening of veterinary drugs and their metabolites in milk based on mass defect filtering using liquid chromatography-high-resolution mass spectrometry.

Tiantian Chen1,2, Wenying Liang1,2, Xiuqiong Zhang1,2, Xin Lu1, Chunxia Zhao1, Guowang Xu1.   

Abstract

The development of nontargeted screening strategy for veterinary drugs and their metabolites is very important for food safety. In this study, a nontargeted screening strategy was developed to find the potentially hazardous substances based on mass defect filtering (MDF) using liquid chromatography-high-resolution mass spectrometry. First, the drug metabolites of 112 veterinary drugs from seven classes of antimicrobials were predicted. Second, three MDF models were established, including the traditional rectangular MDF, the enhanced parallelogram MDF, and the polygonal MDF. Finally, the strategy was applied to nontargeted screening of veterinary drugs in 36 milk samples. The polygonal MDF model based on the distribution area of parent drugs and their metabolites showed a better filtering effect. After removing food components and performing MDF, about 10% of the substances remained, and four veterinary drugs and six drug metabolites were discovered and identified, showing the effectiveness of this strategy. The nontargeted screening strategy can rapidly remove interfering substances and find the suspected compounds. It can also be used for nontargeted screening of veterinary drugs and their metabolites in other food matrices.
© 2021 Wiley-VCH GmbH.

Entities:  

Keywords:  liquid chromatography-high-resolution mass spectrometry; mass defect filtering; nontargeted screening; veterinary drugs

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Year:  2021        PMID: 34894354     DOI: 10.1002/elps.202100296

Source DB:  PubMed          Journal:  Electrophoresis        ISSN: 0173-0835            Impact factor:   3.595


  1 in total

1.  Exploration of Q-Marker of Rhubarb Based on Intelligent Data Processing Techniques and the AUC Pooled Method.

Authors:  Jiayun Chen; Xiaojuan Jiang; Chunyan Zhu; Lu Yang; Minting Liu; Mingshe Zhu; Caisheng Wu
Journal:  Front Pharmacol       Date:  2022-03-21       Impact factor: 5.810

  1 in total

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