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Selective supercritical fluid extraction to identify aged sediment-bound PCBs available for uptake by eel
Tobias Nilsson1, Johan Häkkinen, Per Larsson
1Department of Analytical Chemistry, Lund University, P.O. Box 124, 221 00 Lund, Sweden.
Environmental Pollution (Barking, Essex : 1987)
|September 29, 2005
Summary
Supercritical fluid extraction (SFE) selectively removed bioavailable polychlorinated biphenyls (PCBs) from sediment. This method shows promise for estimating PCB bioavailability in aquatic environments.
Area of Science:
- Environmental Chemistry
- Ecotoxicology
- Analytical Chemistry
Background:
- Polychlorinated biphenyls (PCBs) are persistent organic pollutants found in sediments.
- Assessing the bioavailability of PCBs is crucial for understanding ecological risk.
- Traditional methods may not accurately reflect the fraction of PCBs available for uptake by organisms.
Purpose of the Study:
- To evaluate the effectiveness of selective supercritical fluid extraction (SFE) in removing bioavailable PCBs from contaminated sediment.
- To determine if SFE can be used to estimate PCB bioavailability.
- To assess the impact of SFE pre-treatment on PCB uptake by eels (Anguilla anguilla).
Main Methods:
- Sediment naturally contaminated with PCBs was partially extracted using selective SFE.
- Eels were cultured in tanks with either untreated or SFE-pre-extracted sediment.
- Biota-to-sediment accumulation factors (BSAFs) for eight PCB congeners were calculated and compared between the two systems.
Main Results:
- SFE significantly reduced the concentration of bioavailable PCBs in the sediment.
- Relative BSAF values for all eight PCB congeners were substantially lower in the pre-extracted sediment system.
- The reduction in BSAFs was consistent across different PCB congeners, regardless of chlorination degree or initial concentration.
Conclusions:
- Selective SFE is an effective method for removing bioavailable PCBs from sediments.
- SFE can be utilized as a feasible tool to estimate the bioavailability of PCBs in sediment matrices.
- This approach offers a more accurate assessment of ecological risk associated with PCB contamination.