Literature DB >> 25721143

Spatial distribution and partitioning behavior of selected poly- and perfluoroalkyl substances in freshwater ecosystems: a French nationwide survey.

Gabriel Munoz1, Jean-Luc Giraudel1, Fabrizio Botta2, François Lestremau2, Marie-Hélène Dévier1, Hélène Budzinski3, Pierre Labadie4.   

Abstract

The spatial distribution and partitioning of 22 poly- and perfluoroalkyl substances (PFASs) in 133 selected rivers and lakes were investigated at a nationwide scale in mainland France. ΣPFASs was in the range<LOD-725 ng L(-1) in the dissolved phase (median: 7.9 ng L(-1)) and <LOD-25 ng g(-1) dry weight (dw) in the sediment (median: 0.48 ng g(-1) dw); dissolved PFAS levels were significantly lower at "reference" sites than at urban, rural or industrial sites. Although perfluorooctane sulfonate (PFOS) was found to be the prevalent compound on average, a multivariate analysis based on neural networks revealed noteworthy trends for other compounds at specific locations and, in some cases, at watershed scale. For instance, several sites along the Rhône River displayed a peculiar PFAS signature, perfluoroalkyl carboxylates (PFCAs) often dominating the PFAS profile (e.g., PFCAs>99% of ΣPFASs in the sediment, likely as a consequence of industrial point source discharge). Several treatments for data below detection limits (non-detects) were used to compute descriptive statistics, differences among groups, and correlations between congeners, as well as log Kd and log Koc partition coefficients; in that respect, the Regression on Order Statistics (robust ROS) method was preferred for descriptive statistics computation while the Akritas-Theil-Sen estimator was used for regression and correlation analyses. Multiple regression results suggest that PFAS levels in the dissolved phase and sediment characteristics (organic carbon fraction and grain size) may be significant controlling factors of PFAS levels in the sediment.
Copyright © 2015 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Artificial neural networks; Non-detects; Partitioning; Perfluoroalkyl substances; Sediment; Water

Mesh:

Substances:

Year:  2015        PMID: 25721143     DOI: 10.1016/j.scitotenv.2015.02.043

Source DB:  PubMed          Journal:  Sci Total Environ        ISSN: 0048-9697            Impact factor:   7.963


  5 in total

1.  Occurrence and distribution of six selected endocrine disrupting compounds in surface- and groundwaters of the Romagna area (North Italy).

Authors:  Emanuela Pignotti; Marinella Farré; Damià Barceló; Enrico Dinelli
Journal:  Environ Sci Pollut Res Int       Date:  2017-07-21       Impact factor: 4.223

2.  Occurrence and distribution of perfluorooctane sulfonate and perfluorooctanoic acid in three major rivers of Xinjiang, China.

Authors:  Gehui Wang; Xiaolong Wang; Zhenni Xing; Jianjiang Lu; Qigang Chang; Yanbin Tong
Journal:  Environ Sci Pollut Res Int       Date:  2019-07-29       Impact factor: 4.223

3.  Analysis of a broad range of perfluoroalkyl acids in accipiter feathers: method optimization and their occurrence in Nam Co Basin, Tibetan Plateau.

Authors:  Yili Li; Ke Gao; Bu Duo; Guoshuai Zhang; Zhiyuan Cong; Yan Gao; Jianjie Fu; Aiqian Zhang; Guibin Jiang
Journal:  Environ Geochem Health       Date:  2017-03-29       Impact factor: 4.609

4.  Occurrence of perfluoroalkyl substances in selected Victorian rivers and estuaries: An historical snapshot.

Authors:  Mayumi Allinson; Nobuyoshi Yamashita; Sachi Taniyasu; Eriko Yamazaki; Graeme Allinson
Journal:  Heliyon       Date:  2019-09-16

Review 5.  Significance thresholds for the assessment of contaminated groundwater: perfluorinated and polyfluorinated chemicals.

Authors:  Karl Theo von der Trenck; Rainer Konietzka; Annegret Biegel-Engler; Jan Brodsky; Andrea Hädicke; Arnold Quadflieg; Rudolf Stockerl; Thorsten Stahl
Journal:  Environ Sci Eur       Date:  2018-06-07       Impact factor: 5.893

  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.