Challenges in PFAS Postdegradation Analysis: Insights from the PFAS-CTAB Model System

IF 4.6 Q1 CHEMISTRY, ANALYTICAL
Chanaka Navarathna*, Ransford Appianin Boateng and Long Luo*, 
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引用次数: 0

Abstract

Per- and polyfluoroalkyl substances (PFAS) are synthetic chemicals widely used for their oil and water-repellent properties. Their environmental persistence and potential health risks have raised significant concerns. As PFAS degrades through remediation or natural processes, they form complex mixtures of the original chemicals, transformation byproducts, and degradation additives. Analyzing PFAS after degradation presents analytical challenges due to possible chemical and physical interactions, including ion pairing, micelle formation, and complexation. These factors can significantly impact the precision and accuracy of PFAS measurements, yet they are often overlooked in PFAS degradation studies. In this work, we demonstrate that with the addition of ppb-level cetyltrimethylammonium bromide (CTAB), a cationic surfactant used in PFAS plasma-based degradation, the PFAS calibration curve linearity, sensitivity, and reproducibility are severely compromised. Isotopically labeled internal standards cannot fully correct these issues. Furthermore, the standard EPA methods 537.1, 533, and 1633 could not accurately recover PFAS concentrations in the PFAS and CTAB mixtures, with severe matrix effects observed for longer-chain and nitrogen-containing PFAS. Among these methods, Method 1633 is currently the most suitable option for postdegradation analysis. Method 1633 showed the lowest CTAB interference because this method used another weak ion pair additive, formic acid or acetic acid (in commercial lab analysis), to acidify the sample before LC–MS/MS analysis and added an isotopically labeled internal standard. For future PFAS degradation studies, we recommend systematically evaluating the matrix effect on the PFAS quantification using a recovery matrix to validate the analytical methods before use.

PFAS后降解分析的挑战:来自PFAS- ctab模型系统的见解
全氟和多氟烷基物质(PFAS)是一种合成化学品,因其拒油和拒水性能而被广泛使用。它们的环境持久性和潜在的健康风险引起了重大关注。当PFAS通过修复或自然过程降解时,它们会形成原始化学品、转化副产物和降解添加剂的复杂混合物。由于可能的化学和物理相互作用,包括离子配对、胶束形成和络合作用,分析降解后的PFAS提出了分析挑战。这些因素会显著影响PFAS测量的精度和准确性,但在PFAS降解研究中往往被忽视。在这项工作中,我们证明了添加ppb水平的十六烷基三甲基溴化铵(CTAB),一种用于PFAS等离子体降解的阳离子表面活性剂,会严重损害PFAS校准曲线的线性,灵敏度和可重复性。同位素标记的内部标准不能完全纠正这些问题。此外,标准EPA方法537.1,533和1633不能准确地恢复PFAS和CTAB混合物中的PFAS浓度,对长链和含氮PFAS观察到严重的基质效应。在这些方法中,Method 1633是目前最适合降解后分析的方法。方法1633显示出最低的CTAB干扰,因为该方法在LC-MS /MS分析前使用了另一种弱离子对添加剂甲酸或乙酸(用于商业实验室分析)来酸化样品,并添加了同位素标记的内标。对于未来的PFAS降解研究,我们建议在使用分析方法之前,使用回收矩阵系统地评估基质对PFAS定量的影响。
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来源期刊
ACS Measurement Science Au
ACS Measurement Science Au 化学计量学-
CiteScore
5.20
自引率
0.00%
发文量
0
期刊介绍: ACS Measurement Science Au is an open access journal that publishes experimental computational or theoretical research in all areas of chemical measurement science. Short letters comprehensive articles reviews and perspectives are welcome on topics that report on any phase of analytical operations including sampling measurement and data analysis. This includes:Chemical Reactions and SelectivityChemometrics and Data ProcessingElectrochemistryElemental and Molecular CharacterizationImagingInstrumentationMass SpectrometryMicroscale and Nanoscale systemsOmics (Genomics Proteomics Metabonomics Metabolomics and Bioinformatics)Sensors and Sensing (Biosensors Chemical Sensors Gas Sensors Intracellular Sensors Single-Molecule Sensors Cell Chips Arrays Microfluidic Devices)SeparationsSpectroscopySurface analysisPapers dealing with established methods need to offer a significantly improved original application of the method.
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