Li Xuerong, Cui Danni, Ng Brian, Ogunbiyi Olutobi Daniel, Guerra de Navarro Maria, Gardinali Piero, Quinete Natalia
Department of Chemistry and Biochemistry, Florida International University, 11200 SW 8th Street, Modesto A. Maidique Campus, Miami, FL 33199, USA; Institute of Environment, Florida International University, 11200 SW 8th Street, Modesto A. Maidique Campus, Miami, FL 33199, USA.
Institute of Environment, Florida International University, 11200 SW 8th Street, Modesto A. Maidique Campus, Miami, FL 33199, USA.
J Hazard Mater. 2023 Jun 15;452:131224. doi: 10.1016/j.jhazmat.2023.131224. Epub 2023 Mar 16.
Per- and polyfluoroalkyl substances (PFAS) are a group of anthropogenic pollutants that are found ubiquitously in surface and drinking water supplies. Due to their persistent nature, bioaccumulative potential, and significant adverse health effects associated with low concentrations, they pose a concern for human and environmental exposure. With the advances in high-resolution mass spectrometry (HRMS) methods, there has been an increasing number of non-targeted analysis (NTA) approaches that allow for a more comprehensive characterization of total PFAS present in environmental samples. In this study, we have developed and compared NTA workflows based on an online solid phase extraction- liquid chromatography high resolution mass spectrometry (online SPE-LC-HRMS) method followed by data processing using Compound Discoverer and FluoroMatch for the screening of PFAS in drinking waters from populated counties in South Florida, as well as in surface waters from Biscayne Bay, Key west, and Everglades canals. Tap water showed the highest number of PFAS features, indicating a poor removal of these chemicals by water treatment or perhaps the breakdown of PFAS precursors. The high number of PFAS features identified only by CD and FluoroMatch emphasizes the complementary aspects of these data processing methods. A Semi-quantitation method for NTA (qNTA) was proposed using a global calibration curve based on existing native standards and internal standards, in which concentration estimates were determined by a regression-based model and internal standard (IS) response factors. NTA play a crucial role in the identification and prioritization of non-traditionally monitored PFAS, needed for the understanding of the toxicological and environmental impact, which are largely underestimated due to the lack of such information for many PFAS.
全氟和多氟烷基物质(PFAS)是一类人为污染物,在地表水和饮用水供应中普遍存在。由于其持久性、生物累积潜力以及与低浓度相关的重大健康不利影响,它们对人类和环境暴露构成了担忧。随着高分辨率质谱(HRMS)方法的进步,越来越多的非靶向分析(NTA)方法能够更全面地表征环境样品中存在的总PFAS。在本研究中,我们开发并比较了基于在线固相萃取-液相色谱高分辨率质谱(在线SPE-LC-HRMS)方法的NTA工作流程,随后使用Compound Discoverer和FluoroMatch进行数据处理,以筛选南佛罗里达州人口密集县的饮用水以及比斯坎湾、基韦斯特和大沼泽地运河的地表水中的PFAS。自来水显示出PFAS特征数量最多,这表明这些化学物质在水处理过程中去除效果不佳,或者可能是PFAS前体的分解。仅通过CD和FluoroMatch鉴定出的大量PFAS特征强调了这些数据处理方法的互补性。基于现有的天然标准和内标,使用全局校准曲线提出了一种用于NTA的半定量方法(qNTA),其中浓度估计通过基于回归的模型和内标(IS)响应因子来确定。NTA在识别和优先排序非传统监测的PFAS方面发挥着关键作用,这对于理解毒理学和环境影响是必要的,由于许多PFAS缺乏此类信息,这些影响在很大程度上被低估了。