Understanding toxicity as processes in time
Autor: | Jan Baas, Bas Kooijman, Tjalling Jager |
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Přispěvatelé: | Theoretical Life Sciences |
Jazyk: | angličtina |
Rok vydání: | 2010 |
Předmět: |
Environmental Engineering
Toxicodynamics Chemical compound Endpoint Determination Biology Ecotoxicology Risk Assessment Time Toxicology chemistry.chemical_compound SDG 3 - Good Health and Well-being Statistics Toxicity Tests Environmental Chemistry Waste Management and Disposal Organism Environmental risk assessment Toxicity data Reproduction Pollution Survival Analysis chemistry Toxicity Environmental Pollutants Growth and Development Risk assessment |
Zdroj: | Science of the Total Environment, 408, 3735-3739. Elsevier Baas, J, Jager, T & Kooijman, S A L M 2010, ' Understanding toxicity as processes in time. ', Science of the Total Environment, vol. 408, pp. 3735-3739 . https://doi.org/10.1016/j.scitotenv.2009.10.066 |
ISSN: | 1879-1026 0048-9697 |
DOI: | 10.1016/j.scitotenv.2009.10.066 |
Popis: | Studies in ecotoxicology usually focus on a single end point (typically mortality, growth, or reproduction) at a standardized exposure time. The exposure time is chosen irrespective of the properties of the chemical under scrutiny, but should depend on the organism of choice in combination with the compound(s) of interest. This paper discusses the typical patterns for toxic effects in time that can be observed for the most encountered endpoints growth reproduction and survival. Ignoring the fact that toxicity is a process in time can lead to severe bias in environmental risk assessment. We show that especially EC x values for sublethal endpoints can show very distinct patterns in time. We recommend that the test duration for survival as an endpoint should be extended till the incipient LC 50 is observed. Given the fact that toxicity data for single compounds show clear patterns in time, it is to be expected that effects of mixtures will also be strongly dependent on time. The few examples that have been published support this statement. |
Databáze: | OpenAIRE |
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