Screening of veterinary drug residues in food by LC-MS/MS. Background and challenges.

Autor: Delatour T; a Nestlé Research Center , Institute of Food Safety and Analytical Science , Lausanne , Switzerland., Racault L; a Nestlé Research Center , Institute of Food Safety and Analytical Science , Lausanne , Switzerland., Bessaire T; a Nestlé Research Center , Institute of Food Safety and Analytical Science , Lausanne , Switzerland., Desmarchelier A; a Nestlé Research Center , Institute of Food Safety and Analytical Science , Lausanne , Switzerland.
Jazyk: angličtina
Zdroj: Food additives & contaminants. Part A, Chemistry, analysis, control, exposure & risk assessment [Food Addit Contam Part A Chem Anal Control Expo Risk Assess] 2018 Apr; Vol. 35 (4), pp. 632-645. Date of Electronic Publication: 2018 Jan 22.
DOI: 10.1080/19440049.2018.1426890
Abstrakt: Regulatory agencies and government authorities have established maximum residue limits (MRL) in various food matrices of animal origin for supporting governments and food operators in the monitoring of veterinary drug residues in the food chain, and ultimately in the consumer's plate. Today, about 200 veterinary drug residues from several families, mainly with antibiotic, antiparasitic or antiinflammatory activities, are regulated in a variety of food matrices such as milk, meat or egg. This article provides a review of the regulatory framework in milk and muscle including data from Codex Alimentarius, Europe, the U.S.A., Canada and China for about 220 veterinary drugs. The article also provides a comprehensive overview of the challenge for food control, and emphasizes the pivotal role of liquid chromatography-mass spectrometry (LC-MS), either in tandem with quadrupoles (LC-MS/MS) or high resolution MS (LC-HRMS), for ensuring an adequate consumer protection combined with an affordable cost. The capability of a streamlined LC-MS/MS platform for screening 152 veterinary drug residues in a broad range of raw materials and finished products is highlighted in a production line perspective. The rationale for a suite of four methods intended to achieve appropriate performance in terms of scope and sensitivity is presented. Overall, the platform encompasses one stream for the determination of 105 compounds in a run (based on acidic QuEChERS-like), plus two streams for 23 β-lactams (alkaline QuEChERS-like) and 10 tetracyclines (low-temperature partitioning), respectively, and a dedicated stream for 14 aminoglycosides (molecularly-imprinted polymer).
Databáze: MEDLINE
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