Bahareh Tajdini , Hooman Vatankhah , Ethan R. Pezoulas , Chuhui Zhang , Christopher P Higgins , Christopher Bellona
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引用次数: 0
Abstract
The increased detection of understudied per- and polyfluoroalkyl substances (PFAS) in environmental matrices has highlighted the need to evaluate the treatability of a wide-range of PFAS by sorption-based processes. This study investigated the efficacy of three commercial adsorbents (i.e., granular activated carbon (GAC), surface modified clay (SMC), and anionic exchange resin (AER)) for the removal of a wide range of cationic, zwitterionic, and anionic PFAS from an aqueous film forming foam (AFFF)-impacted groundwater employing rapid small-scale column tests (RSSCTs) coupled with high resolution mass spectrometry (HRMS) and suspect screening analysis (SQ). AER exhibited later breakthrough times for the majority of anionic and zwitterionic PFAS compared to SMC and GAC. However, both AER and SMC exhibited negligible removal of cationic PFAS presumably due to the reliance of these adsorbents on electrostatic interactions and the counteraction of hydrophobic forces caused by the repulsion between cationic PFAS and positively charged surfaces of AER and SMC. GAC, being a non-selective adsorbent, was largely unaffected by the ionic charge of the evaluated PFAS with molecular structure having a bigger impact on adsorbability. The detection of a variety of PFAS classes in the investigated AFFF-impacted groundwater enabled assessment of the relative impact of chemical structure on adsorptive removal of PFAS. Chain-length dependent adsorption was observed across all investigated anionic and zwitterionic PFAS classes. The PFAS structures possessing hydroxyl and/or methyl functional groups exhibited later breakthrough times compared to their homologues lacking these functional groups and cyclic/unsaturated structures were removed less efficiently compared to their linear/saturated homologues. In the case of perfluoroalkyl acid (PFAA)-derivative structures, hydrogen-substituted classes (i.e., H-PFAAs) were removed more efficiency than PFAAs while keto-substituted structures (i.e., K-PFSA) and pentahydrido-fluoroalkane sulfates (PeH-FAOS) exhibited lower adsorbability compared to PFAAs for all adsorbents. Oxa-PFAAs (O-PFSA; isomer class of PFA-OS) on the other hand demonstrated higher adsorbability compared to PFAAs in the case of AER-like adsorbents, while this trend was reversed for GAC.
期刊介绍:
Water Research, along with its open access companion journal Water Research X, serves as a platform for publishing original research papers covering various aspects of the science and technology related to the anthropogenic water cycle, water quality, and its management worldwide. The audience targeted by the journal comprises biologists, chemical engineers, chemists, civil engineers, environmental engineers, limnologists, and microbiologists. The scope of the journal include:
•Treatment processes for water and wastewaters (municipal, agricultural, industrial, and on-site treatment), including resource recovery and residuals management;
•Urban hydrology including sewer systems, stormwater management, and green infrastructure;
•Drinking water treatment and distribution;
•Potable and non-potable water reuse;
•Sanitation, public health, and risk assessment;
•Anaerobic digestion, solid and hazardous waste management, including source characterization and the effects and control of leachates and gaseous emissions;
•Contaminants (chemical, microbial, anthropogenic particles such as nanoparticles or microplastics) and related water quality sensing, monitoring, fate, and assessment;
•Anthropogenic impacts on inland, tidal, coastal and urban waters, focusing on surface and ground waters, and point and non-point sources of pollution;
•Environmental restoration, linked to surface water, groundwater and groundwater remediation;
•Analysis of the interfaces between sediments and water, and between water and atmosphere, focusing specifically on anthropogenic impacts;
•Mathematical modelling, systems analysis, machine learning, and beneficial use of big data related to the anthropogenic water cycle;
•Socio-economic, policy, and regulations studies.