Literature DB >> 24411724

Perfluoroalkyl and polyfluoroalkyl substances in sediments from South Bohai coastal watersheds, China.

Zhaoyun Zhu1, Tieyu Wang2, Pei Wang1, Yonglong Lu3, John P Giesy4.   

Abstract

This study investigated the concentrations and distribution of Perfluoroalkyl and polyfluoroalkyl substances (PFAS) in sediments of 12 rivers from South Bohai coastal watersheds. The highest concentrations of ΣPFAS (31.920 ng g(-1) dw) and PFOA (29.021 ng g(-1) dw) were found in sediments from the Xiaoqing River, which was indicative of local point sources in this region. As for other rivers, concentrations of ΣPFAS ranged from 0.218 to 1.583 ng g(-1) dw were found in the coastal sediments and from 0.167 to 1.953 ng g(-1) dw in the riverine sediments. Predominant PFAS from coastal and riverine areas were PFOA and PFBS, with percentages of 30% and 35%, respectively. Partitioning analysis showed the concentrations of PFNA, PFDA and PFHxS were significantly correlated with organic carbon. The results of a preliminary environmental hazard assessment showed that PFOS posed the highest hazard in the Mi River, while PFOA posed a relative higher hazard in the Xiaoqing River.
Copyright © 2013 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Hazard assessment; PFAS; Partitioning; Sediment; South Bohai

Mesh:

Substances:

Year:  2014        PMID: 24411724     DOI: 10.1016/j.marpolbul.2013.12.042

Source DB:  PubMed          Journal:  Mar Pollut Bull        ISSN: 0025-326X            Impact factor:   5.553


  2 in total

1.  Perfluorinated substance assessment in sediments of a large-scale reservoir in Danjiangkou, China.

Authors:  Xiaomin He; Aimin Li; Shengyao Wang; Hao Chen; Zixin Yang
Journal:  Environ Monit Assess       Date:  2018-01-07       Impact factor: 2.513

2.  Bacterial community compositions in sediment polluted by perfluoroalkyl acids (PFAAs) using Illumina high-throughput sequencing.

Authors:  Yajun Sun; Tieyu Wang; Xiawei Peng; Pei Wang; Yonglong Lu
Journal:  Environ Sci Pollut Res Int       Date:  2016-01-16       Impact factor: 4.223

  2 in total

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