Literature DB >> 12230165

Analysis of bioassays with time-varying concentrations.

A R Péry1, J J Bedaux, C Zonneveld, S A Kooijman.   

Abstract

In the analysis of ecotoxicological bioassays the concentration of the test compounds is assumed to be constant. In many situations this assumption is questionable, as various processes may cause a substantial decline in the concentration during exposure. This leads to difficulties in the estimation of parameters that characterise the toxicity of the test compound. As a solution to this problem, time-varying concentrations are often replaced by their mean values for the estimation of toxicity parameters. However, Monte-Carlo simulations show that this approach results in biased estimates of the toxicity parameters. As an alternative approach, we propose models to estimate one important toxicity parameter, the no effect concentration, in situations where the concentration of the compound varies in time. These models are extensions of the DEBtox model (Kooijman and Bedaux, 1996) which is based on biological assumptions about toxicokinetics and toxic effects. We also propose a new approach for the estimation of toxicity parameters for strongly accumulating non-metabolisable compounds. This approach does not require any kinetics assumption. Computer simulation and experimental data confirm the relevance of the different proposals.

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Year:  2001        PMID: 12230165     DOI: 10.1016/s0043-1354(01)00106-3

Source DB:  PubMed          Journal:  Water Res        ISSN: 0043-1354            Impact factor:   11.236


  7 in total

1.  Making sense of ecotoxicological test results: towards application of process-based models.

Authors:  Tjalling Jager; Evelyn H W Heugens; Sebastiaan A L M Kooijman
Journal:  Ecotoxicology       Date:  2006-04-20       Impact factor: 2.823

2.  Simplified models to analyse time- and dose-dependent responses of populations to toxicants.

Authors:  Francisco Sánchez-Bayo; Kouichi Goka
Journal:  Ecotoxicology       Date:  2007-07-11       Impact factor: 2.823

3.  Modeling responses of Daphnia magna to pesticide pulse exposure under varying food conditions: intrinsic versus apparent sensitivity.

Authors:  Barry J Pieters; Tjalling Jager; Michiel H S Kraak; Wim Admiraal
Journal:  Ecotoxicology       Date:  2006-10-06       Impact factor: 2.823

4.  Coupling toxicokinetic-toxicodynamic and population models for assessing aquatic ecological risks to time-varying pesticide exposures.

Authors:  Glen Thursby; Keith Sappington; Matthew Etterson
Journal:  Environ Toxicol Chem       Date:  2018-08-06       Impact factor: 3.742

5.  An energy-based model to analyze growth data of earthworms exposed to two fungicides.

Authors:  Sylvain Bart; Céline Pelosi; Sylvie Nélieu; Isabelle Lamy; Alexandre R R Péry
Journal:  Environ Sci Pollut Res Int       Date:  2019-12-06       Impact factor: 4.223

6.  Toxicokinetic-toxicodynamic modelling of survival of Gammarus pulex in multiple pulse exposures to propiconazole: model assumptions, calibration data requirements and predictive power.

Authors:  Anna-Maija Nyman; Kristin Schirmer; Roman Ashauer
Journal:  Ecotoxicology       Date:  2012-05-05       Impact factor: 2.823

7.  Predicting Mixture Effects over Time with Toxicokinetic-Toxicodynamic Models (GUTS): Assumptions, Experimental Testing, and Predictive Power.

Authors:  Sylvain Bart; Tjalling Jager; Alex Robinson; Elma Lahive; David J Spurgeon; Roman Ashauer
Journal:  Environ Sci Technol       Date:  2021-01-26       Impact factor: 9.028

  7 in total

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