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首页> 外文期刊>environmental toxicology and chemistry >Predicting chronic lethality of chemicals to fishes from acute toxicity test data: Concepts and linear regression analysis
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Predicting chronic lethality of chemicals to fishes from acute toxicity test data: Concepts and linear regression analysis

机译:Predicting chronic lethality of chemicals to fishes from acute toxicity test data: Concepts and linear regression analysis

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AbstractA comprehensive approach to predicting chronic lethality from acute toxicity data was developed in which simultaneous consideration is given to concentration, degree of response, and time course of effect A consistent end point (lethality) and degree of response (0) were used to compare acute and chronic tests Predicted NOECs were highly accurate 84 to 92 of the time (within a factor of 2 0 of the limits of the maximum acceptable toxicant concentrations for lethality) and did not vary by more than a factor of 3 6 97 of the time when the technique was applied to a database of 18 chemicals and seven fish species Growth effects can be predicted from chronic lethality, but reproductive or other chronic effects should not

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