Tang Caiming, Zhu Yizhe, Liang Yutao, Zeng Yan-Hong, Peng Xianzhi, Mai Bi-Xian, Xu Jiale, Huang Qingguo, Lin Hui
Laboratory of Advanced Analytical Chemistry and Detection Technology, Research Center for Eco-Environmental Engineering, Dongguan University of Technology, Dongguan523808, China.
State Key Laboratory of Organic Geochemistry, Guangzhou Institute of Geochemistry, Chinese Academy of Sciences, Guangzhou510640, China.
Environ Sci Technol. 2023 Jan 9. doi: 10.1021/acs.est.2c07976.
Per- and polyfluoroalkyl acids (PFAAs) including polyfluoroalkyl carboxylic acids and polyfluoroalkyl sulfonic acids are a large category of crucial environmental pollutants of global concern. Besides known PFAAs, numerous unknown species may exist in the environment, urgently needing discovery and characterization. This study implemented nontarget analysis for a group of novel PFAA pollutants, viz., iodinated PFAAs (I-PFAAs) in wastewater from a fluorochemical manufacturing park by liquid chromatography-high-resolution mass spectrometry in combination with an iodine-specific data-processing algorithm. The algorithm took into account the diagnostic fragment iodine ion (I) together with carbon and sulfur isotopologue distributions. In total, 18 I-PFAA formulas involving 21 congeners were identified. Semiquantification was conducted, and the total concentrations of I-PFAAs were 1.9-274.7 μg/L, indicating severe pollution of I-PFAAs in the wastewater. The determined concentrations along with predicted environmental behaviors and toxicities demonstrate that I-PFAAs merit further in-depth investigation. The analytical method including the instrumental analysis and data-processing algorithm can be extended to screening and identification of I-PFAAs in other matrices. Furthermore, the analysis results for the first time provide recognition on the occurrence, distribution features, and pollution status of I-PFAAs in the environment.
全氟和多氟烷基酸(PFAA),包括多氟烷基羧酸和多氟烷基磺酸,是一类备受全球关注的重要环境污染物。除了已知的PFAA,环境中可能存在许多未知物种,迫切需要发现和表征。本研究通过液相色谱-高分辨率质谱联用特定碘数据处理算法,对氟化工产业园区废水中的一类新型PFAA污染物,即碘化全氟和多氟烷基酸(I-PFAA)进行了非靶向分析。该算法考虑了诊断性碎片碘离子(I)以及碳和硫的同位素异构体分布。总共鉴定出18种包含21个同系物的I-PFAA分子式。进行了半定量分析,I-PFAA的总浓度为1.9 - 274.7 μg/L,表明废水中I-PFAA污染严重。所测定的浓度以及预测的环境行为和毒性表明,I-PFAA值得进一步深入研究。包括仪器分析和数据处理算法在内的分析方法可扩展用于其他基质中I-PFAA的筛选和鉴定。此外,分析结果首次提供了对环境中I-PFAA的存在、分布特征和污染状况的认识。