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一种基于液相色谱-高分辨质谱联用技术的通用性概念验证研究,用于筛选各种污染物,并突出不同蜂蜜的花香和地理来源标志物。

A proof-of-concept study on the versatility of liquid chromatography coupled to high-resolution mass spectrometry to screen for various contaminants and highlight markers of floral and geographical origin for different honeys.

机构信息

University Paris Est Creteil, ANSES, Laboratory for Food Safety, Pesticides and Marine Biotoxins Unit, 14 rue Pierre et Marie Curie, F-94701 Maisons-Alfort, France.

University Paris Est Creteil, ANSES, Laboratory for Food Safety, Pesticides and Marine Biotoxins Unit, 14 rue Pierre et Marie Curie, F-94701 Maisons-Alfort, France; Littoral Environnement et Sociétés (LIENSs), UMR 7266, CNRS-Université de La Rochelle, 2 rue Olympe de Gouges, F-17042 La Rochelle Cedex 01, France.

出版信息

Food Chem. 2024 Mar 15;436:137720. doi: 10.1016/j.foodchem.2023.137720. Epub 2023 Oct 12.

DOI:10.1016/j.foodchem.2023.137720
PMID:37844510
Abstract

The high-resolution mass spectrometry is a powerful analytical tool for improving food safety and authenticity, but still underused in official control laboratories. The present work is a proof-of-concept study overviewing how liquid-chromatography coupled to high-resolution mass spectrometry could be used simultaneously for large-scale screening of contaminants and differentiation of honey samples. Within this study, the samples were extracted using all-in-one QuEChERS-based protocol that allowed for analysis of various anthropogenic contaminants and endogenous compounds. First, targeted-analysis of 52 honey samples led to unequivocal identification of 23 chemicals, including neonicotinoids, triazole fungicides and synergist. Then, suspect-screening using MSDial software allowed for tentative identification of 30 chemicals including plasticizers, flame-retardants and additives. Suspect-screening also made it possible to highlight tentative markers of chestnut honey (deoxyvasicinone, 2-quinolone, indoleacrylic acid and kynurenic acid) and citrus honey (caffeine, 2-oxindole and indole-3-carbinol). Lastly, non-targeted analysis enabled to separate honeys by their type, floral and geographical origins.

摘要

高分辨率质谱是一种强大的分析工具,可用于提高食品安全和真实性,但在官方控制实验室中仍未得到充分利用。本工作是一项概念验证研究,概述了液相色谱-高分辨率质谱联用如何可同时用于大规模筛选污染物和区分蜂蜜样品。在这项研究中,使用基于 QuEChERS 的一体化方案提取样品,该方案允许分析各种人为污染物和内源性化合物。首先,对 52 个蜂蜜样品进行了靶向分析,明确鉴定出 23 种化学物质,包括新烟碱类、三唑类杀菌剂和增效剂。然后,使用 MSDial 软件进行可疑筛选,暂定鉴定出 30 种化学物质,包括增塑剂、阻燃剂和添加剂。可疑筛选还可以突出鉴定出栗树蜂蜜(脱氧威斯巴辛酮、2-喹诺酮、吲哚丙烯酸和犬尿氨酸)和柑橘蜂蜜(咖啡因、2-氧吲哚和吲哚-3-甲醇)的暂定标志物。最后,非靶向分析可以根据蜂蜜的类型、花卉和地理来源对其进行分离。

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