Original Research
Toxicity assessment of environmentally relevant pollutant mixtures using a heuristic model
Article first published online: 5 NOV 2009
DOI: 10.1897/IEAM_2004-005R.1
Copyright © 2005 SETAC
Issue
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Integrated Environmental Assessment and Management
Volume 1, Issue 2, pages 114–122, April 2005
Additional Information
How to Cite
Olmstead, A. W. and LeBlanc, G. A. (2005), Toxicity assessment of environmentally relevant pollutant mixtures using a heuristic model. Integr Environ Assess Manag, 1: 114–122. doi: 10.1897/IEAM_2004-005R.1
Publication History
- Issue published online: 5 NOV 2009
- Article first published online: 5 NOV 2009
- Manuscript Accepted: 11 NOV 2004
- Manuscript Received: 10 SEP 2004
- Abstract
- Article
- References
- Cited By
Keywords:
- Mixture toxicology;
- Mixture model;
- Daphnid;
- Insecticides;
- Pollutants
Abstract
In this study, 9 chemicals were chosen from a recent report on surface water concentrations of a variety of xenobiotics to test the hypothesis that the toxicity of chemical mixtures could be estimated using a model based on the toxicity of the individual chemicals. Concentration-response curves for the endpoints of lifespan, growth rate, and fecundity were generated for each chemical experimentally using the crustacean, Daphnia magna. From this data, a mathematical model for the combined toxicity of these chemicals was generated that merged the concepts of concentration addition and independent joint action. Toxicity of a mixture was modeled at various levels at which the ratio of the chemicals within the mixture was maintained at that reported for median detected environmental levels. Toxicity of the mixture was then determined experimentally and compared to model predictions. The model accurately predicted the most sensitive endpoint, as well as the lowest toxic effect level of the mixture. Results demonstrated that, for this mixture of chemicals, toxicity was not influenced significantly by interactions among the chemicals and a single constituent dominated toxicity. According to model predictions and experimental results, the median detected environmental concentrations of chemicals constituting this mixture provided no margin of safety.

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