Isomer-specific sediment-water partitioning and bioaccumulation of perfluoroalkyl sulfonyl fluorides

IF 11.4 1区 环境科学与生态学 Q1 ENGINEERING, ENVIRONMENTAL
Shuhong Fang , Ruyue Guo , Ximeng Zhao , Hangbiao Jin
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引用次数: 0

Abstract

Perfluoroalkyl sulfonyl fluorides (PFASFs) have long been used as crucial synthetic intermediates in the production of various perfluoroalkyl substances. While, knowledge on the environmental occurrence and behaviors of PFASFs in the aquatic environment is still very limited, especially at the isomer-specific level. In this study, surface water, sediment, and fish samples were collected from the water environment near a wastewater treatment plant outlet, and analyzed them for five PFASFs. The highest mean water concentration was observed for linear perfluorobutyl sulfonyl fluoride (l-PFBSF; 122 ng/L, 10–457 ng/L). While, linear perfluorooctane sulfonyl fluoride (l-PFOSF) displayed the highest mean concentration in collected sediment (108 ng/g dw, 78–271 ng/g dw) and fish (113 ng/g ww, 48–244 ng/g ww). For detected PFASFs, their branched isomers accounted for mean 16–29 %, 8.2–11 %, and 16–25 % of total PFASFs (sum of linear and branched isomers) in water, sediment, and fish samples, respectively. Calculated log-transformed sediment-water partitioning coefficients (log Koc) of linear PFASFs linearly increased with the increasing carbon chain length, with the mean values ranging from 2.1 ± 0.36 (l-PFBSF) to 3.9 ± 0.18 (l-PFOSF). Calculated log-transformed bioaccumulation factors (log BAF) of linear PFASFs increased from 1.7 ± 0.34 (l-PFBSF) to 3.0 ± 0.27 (l-PFOSF) with the carbon chain length. Branched isomers of detected PFASFs displayed lower log Koc and log BAF values than their respective linear isomers. To our knowledge, this study provides the first evidence on isomer-specific environmental behaviors of PFASFs, which is crucial for assessing the ecological risks these compounds may pose.
全氟烷基磺酰氟的异构体特异性沉积物-水分配和生物积累
全氟烷基磺酰氟(pfasf)长期以来一直被用作生产各种全氟烷基物质的关键合成中间体。然而,关于pfasf在水生环境中的环境发生和行为的认识仍然非常有限,特别是在同分异构体特异性水平上。在本研究中,从污水处理厂出口附近的水环境中收集了地表水、沉积物和鱼类样本,并对五种pfasf进行了分析。线性全氟丁基磺酰氟(l-PFBSF)的平均水浓度最高;122 ng/L, 10-457 ng/L)。而线性全氟辛烷磺酰氟(l-PFOSF)在收集的沉积物(108 ng/g dw, 78-271 ng/g dw)和鱼类(113 ng/g ww, 48-244 ng/g ww)中的平均浓度最高。对于检测到的pfasf,其支链异构体分别占水体、沉积物和鱼类样品中pfasf(线性和支链异构体总和)的平均16-29%、8.2-11%和16-25%。线性pfasf的对数转换沉积物-水分配系数(log Koc)随碳链长度的增加而线性增加,平均值在2.1±0.36 (l-PFBSF) ~ 3.9±0.18 (l-PFOSF)之间。线性pfasf的对数转化生物积累因子(log BAF)随碳链长度的增加从1.7±0.34 (l-PFBSF)增加到3.0±0.27 (l-PFOSF)。检测到的pfasf分支异构体的对数Koc和对数BAF值低于其各自的线性异构体。据我们所知,这项研究提供了pfasf的异构体特异性环境行为的第一个证据,这对于评估这些化合物可能造成的生态风险至关重要。
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来源期刊
Water Research
Water Research 环境科学-工程:环境
CiteScore
20.80
自引率
9.40%
发文量
1307
审稿时长
38 days
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.
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