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Reanalysis of uranium toxicity data for selected freshwater organisms and the influence of dissolved organic carbon.
Environ Toxicol Chem. 2012 Nov; 31(11):2606-14.ET

Abstract

The present study reanalyzed 46 existing uranium (U) chronic toxicity datasets for four freshwater species to generate consistent toxicity measures and explore relationships between U toxicity and key physicochemical variables. Dissolved organic carbon (DOC) was consistently the best predictor of U toxicity based on 10% inhibitory concentration (IC10) and median inhibitory concentration (IC50) values, with water hardness also being a significant co-predictor of IC50 concentrations for one species. The influence of DOC on acute and chronic U toxicity was further characterized using existing data for five species, and was found to vary depending on species, DOC source, and exposure duration (acute vs chronic). The slopes of the relationships between DOC and (normalized) acute and chronic U toxicity were modeled using cumulative probability distributions. From these, slopes were selected for which to correct acute or chronic U toxicity values or hazard estimates based on the aquatic DOC concentration. The fifth percentiles of these cumulative probability distributions for acute and chronic exposure data were 0.064 and 0.090, respectively, corresponding to a 6.4 and 9.0% reduction in U toxicity relative to the toxicity at the base DOC concentration for each 1 mg/L increase in DOC concentration (over the DOC range 0-30 mg/L). Algorithms were developed to enable the adjustment of U toxicity values and U hazard estimates, depending on DOC concentrations. These algorithms will significantly enhance the environmental relevance of water quality/risk assessments for U in fresh surface waters.

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Publisher Full Text (DOI)

Authors+Show Affiliations

van Dam RA
Department of Sustainability, Environment, Water, Population and Communities, Darwin, Northern Territory, Australia. rick.vandam@environment.gov.au
Trenfield MA
No affiliation info available
Markich SJ
No affiliation info available
Harford AJ
No affiliation info available
Humphrey CL
No affiliation info available
Hogan AC
No affiliation info available
Stauber JL
No affiliation info available

MeSH

AlgorithmsAnimalsAquatic OrganismsCarbonChlorellaCladoceraEcotoxicologyHydraInhibitory Concentration 50Linear ModelsToxicity Tests, AcuteToxicity Tests, ChronicUraniumWater Pollutants, Radioactive

Pub Type(s)

Journal Article

Language

eng

PubMed ID

22893585

Citation

van Dam, R A., et al. "Reanalysis of Uranium Toxicity Data for Selected Freshwater Organisms and the Influence of Dissolved Organic Carbon." Environmental Toxicology and Chemistry, vol. 31, no. 11, 2012, pp. 2606-14.
van Dam RA, Trenfield MA, Markich SJ, et al. Reanalysis of uranium toxicity data for selected freshwater organisms and the influence of dissolved organic carbon. Environ Toxicol Chem. 2012;31(11):2606-14.
van Dam, R. A., Trenfield, M. A., Markich, S. J., Harford, A. J., Humphrey, C. L., Hogan, A. C., & Stauber, J. L. (2012). Reanalysis of uranium toxicity data for selected freshwater organisms and the influence of dissolved organic carbon. Environmental Toxicology and Chemistry, 31(11), 2606-14. https://doi.org/10.1002/etc.1987
van Dam RA, et al. Reanalysis of Uranium Toxicity Data for Selected Freshwater Organisms and the Influence of Dissolved Organic Carbon. Environ Toxicol Chem. 2012;31(11):2606-14. PubMed PMID: 22893585.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - Reanalysis of uranium toxicity data for selected freshwater organisms and the influence of dissolved organic carbon. AU - van Dam,R A, AU - Trenfield,M A, AU - Markich,S J, AU - Harford,A J, AU - Humphrey,C L, AU - Hogan,A C, AU - Stauber,J L, Y1 - 2012/09/07/ PY - 2012/02/01/received PY - 2012/04/12/revised PY - 2012/07/18/accepted PY - 2012/8/16/entrez PY - 2012/8/16/pubmed PY - 2013/6/20/medline SP - 2606 EP - 14 JF - Environmental toxicology and chemistry JO - Environ Toxicol Chem VL - 31 IS - 11 N2 - The present study reanalyzed 46 existing uranium (U) chronic toxicity datasets for four freshwater species to generate consistent toxicity measures and explore relationships between U toxicity and key physicochemical variables. Dissolved organic carbon (DOC) was consistently the best predictor of U toxicity based on 10% inhibitory concentration (IC10) and median inhibitory concentration (IC50) values, with water hardness also being a significant co-predictor of IC50 concentrations for one species. The influence of DOC on acute and chronic U toxicity was further characterized using existing data for five species, and was found to vary depending on species, DOC source, and exposure duration (acute vs chronic). The slopes of the relationships between DOC and (normalized) acute and chronic U toxicity were modeled using cumulative probability distributions. From these, slopes were selected for which to correct acute or chronic U toxicity values or hazard estimates based on the aquatic DOC concentration. The fifth percentiles of these cumulative probability distributions for acute and chronic exposure data were 0.064 and 0.090, respectively, corresponding to a 6.4 and 9.0% reduction in U toxicity relative to the toxicity at the base DOC concentration for each 1 mg/L increase in DOC concentration (over the DOC range 0-30 mg/L). Algorithms were developed to enable the adjustment of U toxicity values and U hazard estimates, depending on DOC concentrations. These algorithms will significantly enhance the environmental relevance of water quality/risk assessments for U in fresh surface waters. SN - 1552-8618 UR - https://www.unboundmedicine.com/medline/citation/22893585/Reanalysis_of_uranium_toxicity_data_for_selected_freshwater_organisms_and_the_influence_of_dissolved_organic_carbon_ L2 - https://doi.org/10.1002/etc.1987 DB - PRIME DP - Unbound Medicine ER -