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研究食品中磺胺类药物代谢产物的体内生化形成途径及多级分布的策略(2012 - 2022年)

Strategies for studying in vivo biochemical formation pathways and multilevel distributions of sulfanilamide metabolites in food (2012-2022).

作者信息

Jia Wei, Zhang Min, Zhu Jiying, Shi Lin

机构信息

School of Food and Biological Engineering, Shaanxi University of Science and Technology, Xi'an 710021, China.

School of Food and Biological Engineering, Shaanxi University of Science and Technology, Xi'an 710021, China.

出版信息

Food Chem. 2022 Sep 15;388:133039. doi: 10.1016/j.foodchem.2022.133039. Epub 2022 Apr 22.

Abstract

Sulfonamide metabolites are a major source of food pollution worldwide. However, the formation of internal sulfanilamide metabolites has only been investigated for selected compounds. In this paper, the fragmentation mechanism and characteristic ions of sulfonamide metabolites are reviewed using density functional theory and Q-Orbitrap high-resolution mass spectrometry. The result of the protonation site, rearrangement and bond breaking induced fragmentations at CHNOSm/z 156.01138, CHNOm/z 108.04439, and CHNm/z 92.04948. Mass shifts are calculated for derivative metabolites, including hydrogenation, acetylation, oxidation, glucosylation, glucosidation, sulfation, deamination, formylation, desulfonation and O-aminomethylation. Given their homologous series, it is demonstrated that similar metabolic reactions occur for all sulfonamides. The suspicious sulfonamide metabolites are confirmed by d-labelling experiments and reference standards. This is the first review of the latest advances in the field of sulfonamide metabolite prediction (2012-2022), and scheme design for metabolite multirresidue screening, as well as the challenges in the mass spectrometry evolution.

摘要

磺胺类代谢物是全球食品污染的主要来源。然而,仅针对某些选定的化合物研究了体内磺胺类代谢物的形成。本文利用密度泛函理论和Q-轨道阱高分辨率质谱对磺胺类代谢物的裂解机理和特征离子进行了综述。质子化位点、重排以及在CHNOS m/z 156.01138、CHNO m/z 108.04439和CHN m/z 92.04948处的键断裂诱导裂解的结果。计算了衍生代谢物的质量位移,包括氢化、乙酰化、氧化、糖基化、葡糖醛酸化、硫酸化、脱氨基、甲酰化、脱硫和O-氨基甲基化。鉴于它们的同系物系列,证明所有磺胺类化合物都会发生类似的代谢反应。可疑的磺胺类代谢物通过氘标记实验和参考标准进行确认。这是对磺胺类代谢物预测领域(2012 - 2022年)最新进展、代谢物多残留筛查方案设计以及质谱发展中挑战的首次综述。

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