Abstract

Per- and polyfluoroalkyl substances (PFASs) constitute a large category of synthetic environmental pollutants, many of which remain unknown and warrant comprehensive investigation. This study comprehensively characterized PFASs in fluorinated-industrial wastewater by nontarget, quasi-target and target analyses using liquid chromatography-high-resolution mass spectrometry and data-processing algorithms. The algorithms based on characteristic in-source neutral losses and isotopologue distributions were applied to screening and identifying PFASs, while semiquantitative and quantitative analyses were utilized to determine their concentrations and distributions in the wastewater. In total, 175 formulae of PFASs, including traditional, little-known and unknown species were identified and further ascertained in terms of concentrations and distributions. The total concentrations of PFASs in the wastewater were 5.3–33.4 μg mL−1, indicating serious pollution of PFASs. This study not only provides an efficient approach for screening and identification of unknown PFASs, but also presents a practicable and simple way to comprehensively depict environmental pollution signatures of PFASs.

Details

Title
Comprehensive characterization of per- and polyfluoroalkyl substances in wastewater by liquid chromatography-mass spectrometry and screening algorithms
Author
Tang, Caiming 1   VIAFID ORCID Logo  ; Liang, Yutao 1 ; Wang, Kai 1 ; Liao, Jianbo 1 ; Zeng, Yanhong 2 ; Luo, Xiaojun 2 ; Peng, Xianzhi 2 ; Mai, Bixian 2 ; Huang, Qingguo 3   VIAFID ORCID Logo  ; Lin, Hui 1 

 Dongguan University of Technology, Research Center for Eco-Environmental Engineering, Dongguan, China (GRID:grid.459466.c) (ISNI:0000 0004 1797 9243) 
 Chinese Academy of Sciences, State Key Laboratory of Organic Geochemistry, Guangzhou Institute of Geochemistry, Guangzhou, China (GRID:grid.9227.e) (ISNI:0000000119573309) 
 University of Georgia, College of Agricultural and Environmental Sciences, Department of Crop and Soil Sciences, Griffin, USA (GRID:grid.213876.9) (ISNI:0000 0004 1936 738X) 
Pages
6
Publication year
2023
Publication date
2023
Publisher
Nature Publishing Group
e-ISSN
20597037
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2774367071
Copyright
© The Author(s) 2023. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.