Department of Chemical Sciences, University of Padua, Via Marzolo 1, 35131 Padova, Italy.
Department of Chemical Sciences, University of Padua, Via Marzolo 1, 35131 Padova, Italy.
Talanta. 2017 Aug 1;170:322-330. doi: 10.1016/j.talanta.2017.04.033. Epub 2017 Apr 12.
A comprehensive risk management on human exposure to cyanotoxins, whose production is actually unpredictable, is limited by reliable analytical tools for monitoring as many toxic algal metabolites as possible. Two analytical approaches based on a LC-QTOF system for target analysis and suspect screening of cyanotoxins in freshwater were presented. A database with 369 compounds belonging to cyanobacterial metabolites was developed and used for a retrospective data analysis based on high resolution mass spectrometry (HRMS). HRMS fragmentation of the suspect cyanotoxin precursor ions was subsequently performed for correctly identifying the specific variants. Alternatively, an automatic tandem HRMS analysis tailored for cyanotoxins was performed in a single chromatographic run, using the developed database as a preferred precursor ions list. Twenty-five extracts of surface and drinking waters contaminated by cyanobacteria were processed. The identification of seven uncommon microcystins (M(O)R, MC-FR, MSer-YR, D-AspMSer-LR, MSer-LR, dmAdda-LR and dmAdda-YR) and 6 anabaenopeptins (A, B, F, MM850, MM864, oscyllamide Y) was reported. Several isobaric variants, fully separated by chromatography, were pointed out. The developed methods are proposed to be used by environmental and health agencies for strengthening the surveillance monitoring of cyanotoxins in water.
对人类暴露于蓝藻毒素的全面风险管理,由于其产生实际上是不可预测的,因此受到限制,只能使用可靠的分析工具尽可能多地监测多种有毒藻类代谢物。本文提出了两种基于 LC-QTOF 系统的分析方法,用于淡水蓝藻毒素的目标分析和可疑筛选。开发了一个包含 369 种化合物的数据库,这些化合物属于蓝细菌代谢物,用于基于高分辨率质谱(HRMS)的回溯数据分析。随后对可疑蓝藻毒素前体离子进行 HRMS 碎片分析,以正确识别特定变体。或者,在单个色谱运行中针对蓝藻毒素进行自动串联 HRMS 分析,使用开发的数据库作为首选前体离子列表。处理了 25 个受蓝藻污染的地表水和饮用水提取物。报告了七种罕见的微囊藻毒素(M(O)R、MC-FR、MSer-YR、D-AspMSer-LR、MSer-LR、dmAdda-LR 和 dmAdda-YR)和 6 种鱼腥藻肽(A、B、F、MM850、MM864、oscyllamide Y)的鉴定。指出了几个完全通过色谱分离的等质异位变体。所开发的方法拟由环境和卫生机构用于加强水中蓝藻毒素的监测。