Nontargeted screening of veterinary drugs and their metabolites in milk based on mass defect filtering using liquid chromatography–high‐resolution mass spectrometry. Issue 18 (23rd December 2021)

• Record Type: Journal Article
• Authors: Chen, Tiantian; Liang, Wenying; Zhang, Xiuqiong; Lu, Xin; Zhao, Chunxia; Xu, Guowang
• Other Names: Cifuentes Alejandro guestEditor.; Herrero Miguel guestEditor.
• Is Part Of: Electrophoresis. Volume 43:Issue 18/19(2022)
• Page Start: 1822
• Page End: 1831
• Publication Date: 2021-12-23
• Subjects: liquid chromatography–high‐resolution mass spectrometry -- mass defect filtering -- nontargeted screening -- veterinary drugs; Electrophoresis -- Periodicals; Electrophoresis -- Periodicals; 541.372
• DOI: 10.1002/elps.202100296
• Languages: English
• ISSNs: 0173-0835

Abstract

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.