Department of Environmental Science, Zhejiang University , Hangzhou 310058, China.
Department of Civil and Environmental Engineering, Colorado School of Mines , Golden, Colorado 80401, United States.
Environ Sci Technol. 2017 Jun 6;51(11):6342-6351. doi: 10.1021/acs.est.7b00970.
Despite growing concerns about human exposure to perfluorooctanoate (PFOA) and perfluorooctanesulfonate (PFOS), other poly- and perfluoroalkyl substances (PFASs) derived from aqueous film-forming foams (AFFFs) have garnered little attention. While these other PFASs may also be present in AFFF-impacted drinking water, their removal by conventional drinking-water treatment is poorly understood. This study compared the removal of 30 PFASs, including 13 recently discovered PFASs, from an AFFF-impacted drinking water using carbonaceous sorbents (i.e., granular activated carbon, GAC). The approach combined laboratory batch experiments and modeling: batch sorption data were used to determine partition coefficients (K) and calibrate a transport model based on intraparticle diffusion-limited sorption kinetics, which was used to make forward predictions of PFAS breakthrough during GAC adsorption. While strong retention was predicted for PFOS and PFOA, nearly all of the recently discovered polyfluorinated chemicals and PFOS-like PFASs detected in the AFFF-impacted drinking water were predicted to break through GAC systems before both PFOS and PFOA. These model breakthrough results were used to evaluate a simplified approach to predicting PFAS removal by GAC using compound-specific retention times on a C18 column (RT). Overall, this study reveals that GAC systems for the treatment of AFFF-impacted sources of water for PFOA and PFOS likely achieve poor removal, when operated only for the treatment of PFOS and PFOA, of many unmonitored PFASs of unknown toxicity.
尽管人们越来越关注全氟辛烷酸 (PFOA) 和全氟辛烷磺酸 (PFOS) 对人体的暴露,但源自水性成膜泡沫 (AFFF) 的其他多氟和全氟烷基物质 (PFAS) 却很少受到关注。虽然这些其他 PFAS 也可能存在于受 AFFF 影响的饮用水中,但对其通过常规饮用水处理的去除情况了解甚少。本研究比较了使用碳质吸附剂(即颗粒活性炭,GAC)从受 AFFF 影响的饮用水中去除 30 种 PFAS,包括 13 种新发现的 PFAS。该方法结合了实验室批量实验和模型:批量吸附数据用于确定分配系数 (K) 并基于内扩散限制吸附动力学校准传输模型,该模型用于对 GAC 吸附过程中 PFAS 穿透进行正向预测。尽管预测 PFOS 和 PFOA 会有很强的保留,但在预测的 GAC 系统中,几乎所有在受 AFFF 影响的饮用水中检测到的新发现的多氟化化学品和 PFOS 类似的 PFAS 都预计会在 PFOS 和 PFOA 之前穿透。这些模型穿透结果用于评估使用 C18 柱上特定化合物保留时间 (RT) 预测 GAC 去除 PFAS 的简化方法。总体而言,本研究表明,用于处理受 AFFF 影响的水源中 PFOA 和 PFOS 的 GAC 系统在仅用于处理 PFOS 和 PFOA 时,可能对许多未监测到的、毒性未知的 PFAS 去除效果不佳。