化学
亚硫酸盐
反应性(心理学)
水溶液
磺酸盐
质谱法
磺胺
硫黄
全氟辛烷
有机化学
色谱法
医学
病理
替代医学
钠
作者
Raul Tenorio,Andrew C. Maizel,Charles E. Schaefer,Christopher P. Higgins,Timothy J. Strathmann
标识
DOI:10.1021/acs.est.2c03228
摘要
UV-sulfite has been shown to effectively degrade per- and polyfluoroalkyl substances (PFASs) in single-solute experiments. We recently reported treatment of 15 PFASs, including perfluoroalkyl sulfonic acids (PFSAs), perfluoroalkyl carboxylic acids (PFCAs), and fluorotelomer sulfonic acids (FTSs), detected in aqueous film-forming foam (AFFF) using high-resolution liquid chromatography quadrupole time-of-flight mass spectrometry (LC-QTOF-MS) targeted analysis. Here, we extend the analysis within those original reaction solutions to include the wider set of PFASs in AFFF for which reactivity is largely unknown by applying recently established LC-QTOF-MS suspect screening and semiquantitative analysis protocols. Sixty-eight additional PFASs were detected (15 targeted + 68 suspect screening = 83 PFASs) with semiquantitative analysis, and their behavior was binned on the basis of (1) detection in untreated AFFF, (2) PFAS photogeneration, and (3) reactivity. These 68 structures account for an additional 20% of the total fluorine content in the AFFF (targeted + suspect screening = 57% of total fluorine content). Structure–reactivity trends were also revealed. During treatment, transformations of highly reactive structures containing sulfonamide (–SO2N–) and reduced sulfur groups (e.g., –S– and –SO–) adjacent to the perfluoroalkyl [F(CF2)n–] or fluorotelomer [F(CF2)n(CH2)2–] chain are likely sources of PFCA, PFSA, and FTS generation previously reported during the early stages of reactions. The results also show the character of headgroup moieties adjacent to the F(CF2)n–/F(CF2)n(CH2)2– chain (e.g., sulfur oxidation state, sulfonamide type, and carboxylic acids) and substitution along the F(CF2)n– chain (e.g., H–, ketone, and ether) together may determine chain length-dependent reactivity trends. The results highlight the importance of monitoring PFASs outside conventional targeted analytical methodologies.
科研通智能强力驱动
Strongly Powered by AbleSci AI