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Mixture Toxicity Test of Ten Major Chemicals Using Daphnia magna by Response Curve Method  

Ra, Jin-Sung (Gwangju Institute of Science and Technology, Department of Environmental Science and Engineering)
Kim, Ki-Tae (Gwangju Institute of Science and Technology, Department of Environmental Science and Engineering)
Kim, Sang-Don (Gwangju Institute of Science and Technology, Department of Environmental Science and Engineering)
Han, Sang-Guk (Division of Ocean System Engineering, Mokpo National Maritime University)
Chang, Nam-Ik (Yeongsan-river Environmental Research Laboratory)
Kim, Yong-Seok (Yeongsan-river Environmental Research Laboratory)
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Abstract
Toxicity tests were performed to evaluate the feasibility of application with prediction models to 10 mixture chemicals (chloroneb, butylbenzylphthalate, pendimethaline, di-n-butylphthalate, di-iso-butylphthalate, diazinon, isofenphos, 2-chlorophenol, 2,4,6-trichlorophenol and p-octylphenol) detected in effluents from wastewater treatment plants (WWTPs). Ten chemicals were selected in the basis of their toxicities to Daphnia magna and the concentrations in effluents measured by GC/MS. Three models including concentration addition (CA), independent action (IA) and effect summation (ES) were employed for the comparison of the predicted and the observed mortality of D. magna exposed to 10 mixture chemicals for 48 hours. With a comparative study it was ineffective to predict the mortality through the CA and the ES prediction model, while the IA prediction model showed a high correlation($r^2\;=\;0.85$). Moreover, the ES model over-estimated the toxicity observed by bioassay experiments about five-fold. Consequently, IA model is a reasonable tool to predict the mixture toxicity of the discharging water from WWTPs.
Keywords
Mixture Toxicity; Daphnia Magna; Toxicity Prediction Model;
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