同时测定海洋生物样品中环境污染物的通用方法:以全氟烷基和多氟烷基物质及抗生素为例

IF 4.3 Q1 ENVIRONMENTAL SCIENCES ACS ES&T water Pub Date : 2024-12-26 DOI:10.1021/acsestwater.4c00843
Di Fang, Ge Yang, Bentuo Xu, Jialin Li, Jiayi Lin, Chunmiao Zheng, Jason T. Magnuson and Wenhui Qiu*, 
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引用次数: 0

摘要

传统的环境污染物检测技术主要侧重于对单一污染物类型提供准确的定性和定量评价,导致成本增加,无法满足检测更广泛的污染物的日益增长的需求。在这里,我们介绍了一种新的分析方法,可以同时测量复杂生物样品中不同环境污染物的浓度水平,这些污染物具有不同的特性。由于全氟和多氟烷基物质(PFAS)和抗生素在环境中的检测频率和已知影响,我们将其作为案例研究。我们的方法利用了氯化钠对178种海洋物种肌肉组织内蛋白质的盐化作用,这大大减少了外来物质的添加,减轻了基质干扰,避免了对固相萃取或分散萃取剂的依赖。该方法为多种化合物的检测提供了同时预处理,检出限为0.002 ~ 0.41 ng/g干重,大大低于传统方法。总的来说,该方法简化了效率,降低了成本,减少了矩阵效应,并为未来应用于同时检测具有不同特征的更广泛的环境相关污染物奠定了坚实的基础。
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A Universal Method for the Simultaneous Determination of Environmental Pollutants in Marine Biological Samples: Per- and Polyfluoroalkyl Substances and Antibiotics as a Case Study

Conventional detection technologies for environmental contaminants have primarily focused on providing accurate qualitative and quantitative evaluations for single pollutant types, leading to increased costs and an inability to satisfy the growing demand for detecting a broader spectrum of pollutants. Here, we introduced a novel analytical method to simultaneously measure the concentration levels of diverse environmental pollutants, characterized by their distinct properties, across complex biological samples. Per- and polyfluoroalkyl substances (PFAS) and antibiotics were used as a case study due to their frequency of detection in the environment and known impacts Our method harnesses the salting-out effect of sodium chloride on proteins within the muscle tissues of 178 marine species, which significantly reduces the addition of extraneous substances, mitigates matrix interference, and avoids reliance on solid-phase extraction or dispersive extraction agents. The method provides a simultaneous pretreatment for the detection of several compounds, with detection limits from 0.002 to 0.41 ng/g dry weight, which are substantially lower than conventional methods. Overall, this method streamlines efficiency, decreases costs, lessens matrix effects, and sets a solid groundwork for future applications in the concurrent detection of a broader spectrum of environmentally pertinent pollutants with varied characteristics.

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