Joint action of polycyclic aromatic hydrocarbons: Predictive modeling of sublethal toxicity

被引:32
|
作者
Olmstead, AW [1 ]
LeBlanc, GA [1 ]
机构
[1] N Carolina State Univ, Dept Environm & Mol Toxicol, Raleigh, NC 27695 USA
关键词
hazard assessment; risk assessment; response addition; synergy; mixture toxicology;
D O I
10.1016/j.aquatox.2005.08.007
中图分类号
Q17 [水生生物学];
学科分类号
071004 ;
摘要
Polycyclic aromatic hydrocarbons (PAHs) typically contaminate the environment as complex assemblages of different chemical compounds. Modeling approaches provide a means of estimating the toxicity of these PAH mixtures. In the present study, we tested the hypothesis that the joint effects of four PAHs: pyrene, phenanthrene, fluoranthene and naphthalene, on the growth rate of the crustacean Daphnia magna during sub-chronic exposure could be accurately predicted using a mathematical algorithm for concentration addition based upon the assumption that these PAHs impact growth by a common mode of action. Assessment of the individual toxicity of the four PAHs confirmed that these compounds elicited the common effect of retarding growth of daphnids at concentrations below those that were lethal to the organisms. Using the experimentally derived toxicity parameters for the individual chemicals, the toxicity of multiple mixtures of these four PAHs was modeled. These mixtures were based on concentrations reported in the environment and on equi-toxic concentrations. The effects of over 140 combinations of four mixture formulations on the growth rate of daphnids were experimentally determined and compared to model predictions. The concentration addition models tended to over predict the joint toxicity of these PAH mixtures and experimental data was better represented by an alternative model based upon the concept of independent joint action. Mixtures at environmentally relevant concentrations were predicted and experimentally demonstrated to have no effect on daphnid growth rates. Results indicate that PAHs elicit toxicity to daphnids by multiple mechanisms and demonstrate an appropriate modeling approach to assess the toxicity of these mixtures. (c) 2005 Elsevier B.V. All rights reserved.
引用
收藏
页码:253 / 262
页数:10
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