| Main Title |
Predicting Chronic Lethality of Chemicals to Fishes from Acute Toxicity Test Data: Concepts and Linear Regression Analysis. (Hazard Assessment). |
| Author |
Mayer, F. L. ;
Krause, G. F. ;
Buckler, D. R. ;
Ellersieck, M. R. ;
Lee, G. ;
|
| CORP Author |
Environmental Research Lab., Gulf Breeze, FL. ;Missouri Agricultural Experiment Station, Columbia. ;National Fisheries Contaminant Research Center, Columbia, MO. |
| Publisher |
c1994 |
| Year Published |
1994 |
| Report Number |
EPA/600/J-94/281; |
| Stock Number |
PB94-191079 |
| Additional Subjects |
Toxicity ;
Fishes ;
Chronic exposure ;
Regression analysis ;
Acute exposure ;
Concentration(Composition) ;
Dose-response relationships ;
Comparative evaluations ;
Organic compounds ;
Lethal dosage ;
Growth ;
Predictions ;
Estimates ;
Reprints ;
AF(Application factor) ;
ACR(Acute-to-chronic ratio) ;
MATC(Maximum acceptable toxicant concentration) ;
LC50(Lethal concentration)
|
| Holdings |
| Library |
Call Number |
Additional Info |
Location |
Last
Modified |
Checkout
Status |
| NTIS |
PB94-191079 |
Some EPA libraries have a fiche copy filed under the call number shown. |
|
07/26/2022 |
|
| Collation |
9p |
| Abstract |
A comprehensive approach to predicting chronic toxicity from acute toxicity data was developed in which simultaneous consideration is given to concentration, degree of response, and time course of effect. A consistent endpoint (lethality) and degree of response (0%) were used to compare acute and chronic tests. Predicted no-effect concentrations were highly accurate 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 4.8 when the technique was applied to a data base of 18 chemicals and 7 fish species. Growth effects can be predicted from chronic lethality, but reproductive effects should not be. |
