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Title (Primary) Chemical activity and distribution of emerging pollutants: Insights from a multi-compartment analysis of a freshwater system
Author Inostroza, P.A.; Massei, R.; Wild, R.; Krauss, M.; Brack, W.;
Journal Environmental Pollution
Year 2017
Department FLOEK; WANA;
Volume 231
Issue Part 1
Language englisch;
POF III (all) T32;
Supplements https://ars.els-cdn.com/content/image/1-s2.0-S0269749117307315-mmc1.docx
Keywords Emerging pollutants; Chemical activity; Distribution quotients; LSER; KOW-based model
UFZ wide themes RU2;
Abstract

Emerging pollutants are ubiquitous in the aquatic system and may pose risks to aquatic ecosystems. The quantification and prediction of environmental partitioning of these chemicals in aquatic systems between water, sediment and biota is an important step in the comprehensive assessment of their sources and final fates in the environment. In this multi-compartment field study, we applied equilibrium partitioning theory and chemical activity estimates to investigate the predictability of concentrations in Gammarus pulex as a model invertebrate from water and sediment in a typical small central European river. Furthermore, KOW-based and LSER approaches were assessed for the calculation of sediment organic carbon-, lipid-, and protein-water partitioning coefficients and activity ratios between the different compartments. Gammarid-water activity ratios close to unity have been observed for many chemicals, while sediment-water and sediment-biota chemical activity ratios exceeded unity by up to six orders of magnitudes. Causes may be: disequilibrium due to slow desorption kinetics and/or an underestimation of partition coefficients due to the presence of strongly adsorbing phases in the sediments. Water concentrations, particularly when using LSER for prediction of partition coefficients were good predictors of internal concentrations in gammarids for most emerging pollutants. Some hydrophilic chemicals such as the neonicotinoid imidacloprid tend to accumulate more in G. pulex than expected from equilibrium partitioning. This conclusion holds both for KOW as well as for LSER-based predictions and suggests previously unidentified mechanisms of bio-accumulation which may include binding to specific protein structures.


ID 19108
Persistent UFZ Identifier https://www.ufz.de/index.php?en=20939&ufzPublicationIdentifier=19108
Inostroza, P.A., Massei, R., Wild, R., Krauss, M., Brack, W. (2017):
Chemical activity and distribution of emerging pollutants: Insights from a multi-compartment analysis of a freshwater system
Environ. Pollut. 231 (Part 1), 339 - 347