Literature DB >> 24360917

Polyethylene passive samplers to determine sediment-pore water distribution coefficients of persistent organic pollutants in five heavily contaminated dredged sediments.

Benoit Charrasse1, Céline Tixier2, Pierre Hennebert1, Pierre Doumenq3.   

Abstract

Pore concentration and partition coefficients of polycyclic aromatic hydrocarbons (PAHs) and polychlorinated biphenyls (PCBs) were determined in sediments from five distinct contaminated sites in France (marine harbour, rivers canals and highway sedimentation tank). The assessment of the risk caused by such micropollutants requires, in most cases, the measurement of their availability. To assess this availability, low density polyethylene (LDPE) membrane samplers were exposed to these sediments under constant and low-level agitation over a period of 46 days. Freely dissolved pore water contaminant concentrations were estimated from the concentration at equilibrium in the LDPE membrane. The depletion of contaminants in the sediments was monitored by the use of performance reference compounds (PRCs). Marked differences in freely dissolved PAH and PCB concentrations and resulting sediment-pore water partition coefficients between these five sediments were observed. Data set was tested onto different empirical and mechanistic models. As final findings, triple domain sorption (a total organic carbon, black carbon and oil phase model) could model PCB data successfully whereas the best fitting for PAH partitioning was obtained by Raoult's Law model.
Copyright © 2013 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Dredged sediments; Model comparison; PAHs; PCBs; Passive sampling; Pore water concentration

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Year:  2013        PMID: 24360917     DOI: 10.1016/j.scitotenv.2013.10.125

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


  1 in total

1.  Simulation of aromatic polycyclic hydrocarbons remobilization from a river sediment using laboratory experiments supported by passive sampling techniques.

Authors:  Angel Belles; Yannick Mamindy-Pajany; Claire Alary
Journal:  Environ Sci Pollut Res Int       Date:  2015-09-29       Impact factor: 4.223

  1 in total

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