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高分辨率质谱存档数字样品的回顾性筛选可以提高新兴污染物的环境风险评估:以抗真菌唑类药物为例。

Retrospective screening of high-resolution mass spectrometry archived digital samples can improve environmental risk assessment of emerging contaminants: A case study on antifungal azoles.

机构信息

Swiss Federal Institute of Aquatic Science and Technology (Eawag), 8600 Dübendorf, Switzerland; INRAE, UR EABX, 50 avenue de Verdun, Gazinet, F-33612 Cestas, France.

Ecotox Center, 1015 Lausanne, Switzerland.

出版信息

Environ Int. 2020 Jun;139:105708. doi: 10.1016/j.envint.2020.105708. Epub 2020 Apr 12.

Abstract

Environmental risk assessment associated with aquatic and terrestrial contamination is mostly based on predicted or measured environmental concentrations of a limited list of chemicals in a restricted number of environmental compartments. High resolution mass spectrometry (HRMS) can provide a more comprehensive picture of exposure to harmful chemicals, particularly through the retrospective analysis of digitally stored HRMS data. Using this methodology, our study characterized the contamination of various environmental compartments including 154 surface water, 46 urban effluent, 67 sediment, 15 soil, 34 groundwater, 24 biofilm, 41 gammarid and 49 fish samples at 95 sites widely distributed over the Swiss Plateau. As a proof-of-concept, we focused our investigation on antifungal azoles, a class of chemicals of emerging concern due to their endocrine disrupting effects on aquatic organisms and humans. Our results demonstrated the occurrence of antifungal azoles and some of their (bio)transformation products in all the analyzed compartments (0.1-100 ng/L or ng/g d.w.). Comparison of actual and predicted concentrations showed the partial suitability of level 1 fugacity modelling in predicting the exposure to azoles. Risk quotient calculations additionally revealed risk of exposure especially if some of the investigated rivers and streams are used for drinking water production. The case study clearly shows that the retrospective analysis of HRMS/MS data can improve the current knowledge on exposure and the related risks to chemicals of emerging concern and can be effectively employed in the future for such purposes.

摘要

与水生和陆地污染相关的环境风险评估主要基于有限数量的环境介质中有限数量的化学物质的预测或测量浓度。高分辨质谱(HRMS)可以更全面地了解有害化学物质的暴露情况,特别是通过对数字存储的 HRMS 数据进行回溯分析。使用这种方法,我们的研究描述了包括瑞士高原 95 个地点的 154 个地表水、46 个城市污水、67 个沉积物、15 个土壤、34 个地下水、24 个生物膜、41 个长臂虾和 49 个鱼类样本在内的各种环境介质的污染情况。作为概念验证,我们将研究重点放在了抗真菌唑类物质上,这类化学物质由于对水生生物和人类具有内分泌干扰作用,因此成为了人们关注的新兴化学物质。我们的研究结果表明,所有分析的介质中(0.1-100ng/L 或 ng/g 干重)都存在抗真菌唑类物质及其一些(生物)转化产物。实际浓度与预测浓度的比较表明,1 级逸度模型在预测唑类物质暴露方面具有一定的适用性。风险商数的计算进一步显示了暴露风险,特别是如果某些被调查的河流和溪流被用于饮用水生产。该案例研究清楚地表明,HRMS/MS 数据的回溯分析可以提高对新兴关注化学物质暴露及其相关风险的现有认识,并可在未来有效地用于此类目的。

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