Literature DB >> 19665273

Model-based experimental design for assessing effects of mixtures of chemicals.

Jan Baas1, Anna M Stefanowicz, Beata Klimek, Ryszard Laskowski, Sebastiaan A L M Kooijman.   

Abstract

We exposed flour beetles (Tribolium castaneum) to a mixture of four poly aromatic hydrocarbons (PAHs). The experimental setup was chosen such that the emphasis was on assessing partial effects. We interpreted the effects of the mixture by a process-based model, with a threshold concentration for effects on survival. The behavior of the threshold concentration was one of the key features of this research. We showed that the threshold concentration is shared by toxicants with the same mode of action, which gives a mechanistic explanation for the observation that toxic effects in mixtures may occur in concentration ranges where the individual components do not show effects. Our approach gives reliable predictions of partial effects on survival and allows for a reduction of experimental effort in assessing effects of mixtures, extrapolations to other mixtures, other points in time, or in a wider perspective to other organisms.

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Year:  2009        PMID: 19665273     DOI: 10.1016/j.envpol.2009.07.030

Source DB:  PubMed          Journal:  Environ Pollut        ISSN: 0269-7491            Impact factor:   8.071


  3 in total

1.  Effects of fluoranthene on the fitness-related traits and antioxidative defense in Lymantria dispar L.

Authors:  Marija Mrdaković; Larisa Ilijin; Milena Vlahović; Dajana Todorović; Anja Gavrilović; Aleksandra Mrkonja; Vesna Perić-Mataruga
Journal:  Environ Sci Pollut Res Int       Date:  2015-05-16       Impact factor: 4.223

2.  The Effects of Heavy Metals and Total Petroleum Hydrocarbons on Soil Bacterial Activity and Functional Diversity in the Upper Silesia Industrial Region (Poland).

Authors:  Beata Klimek; Anna Sitarz; Maciej Choczyński; Maria Niklińska
Journal:  Water Air Soil Pollut       Date:  2016-07-13       Impact factor: 2.520

3.  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

  3 in total

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