Literature DB >> 17269472

Reproducibility of binary-mixture toxicity studies.

Nina Cedergreen1, Per Kudsk, Solvejg Kopp Mathiassen, Helle Sørensen, Jens Carl Streibig.   

Abstract

Binary-mixture studies often are conducted with the aim of elucidating the effect of one specific chemical on the biological action of another. The results can be interpreted in relation to reference models by the use of response-surface analyses and isobolograms. The amount of data needed for these analyses is, however, extensive, and the experiments therefore rarely are repeated. In the present study, we investigate the reproducibility of isobole shapes of binary-mixture toxicity experiments in terms of deviation from the reference model of concentration addition (CA), dose-level dependence, and isobole asymmetry. We use data from four herbicide mixtures tested in three to five independent experiments on the aquatic test plant Lemna minor and the terrestrial plant Tripleurospermum inodorum. The results showed that the variation both within and among experiments was approximately half the size for the aquatic test system compared to the terrestrial system. As a consequence, a consistent deviation from CA could be obtained in three of four herbicide mixtures for L. minor, whereas this was only the case for one or two of the herbicide mixtures tested on T. inodorum. For one mixture on T. inodorum, both CA synergism and antagonism were detected. Dose-dependent effects could not be repeated consistently, just as the asymmetry found in some isoboles could not. The study emphasizes the importance of repeating mixture toxicity experiments, especially for test systems with large variability, and using caution when drawing biological conclusions from the test results.

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Year:  2007        PMID: 17269472     DOI: 10.1897/06-196r.1

Source DB:  PubMed          Journal:  Environ Toxicol Chem        ISSN: 0730-7268            Impact factor:   3.742


  8 in total

1.  Growth rate of Pseudokirchneriella subcapitata exposed to herbicides found in surface waters in the Alqueva reservoir (Portugal): a bottom-up approach using binary mixtures.

Authors:  Joanne Pérez; Inês Domingues; Amadeu M V M Soares; Susana Loureiro
Journal:  Ecotoxicology       Date:  2011-03-30       Impact factor: 2.823

2.  Ecotoxicological evaluation of propranolol hydrochloride and losartan potassium to Lemna minor L. (1753) individually and in binary mixtures.

Authors:  Aline A Godoy; Fábio Kummrow; Paulo Augusto Z Pamplin
Journal:  Ecotoxicology       Date:  2015-04-07       Impact factor: 2.823

3.  Joint toxicity of chlorpyrifos, atrazine, and cadmium at lethal concentrations to the earthworm Eisenia fetida.

Authors:  Guiling Yang; Chen Chen; Yanhua Wang; Leiming Cai; Xiangzhen Kong; Yongzhong Qian; Qiang Wang
Journal:  Environ Sci Pollut Res Int       Date:  2015-01-18       Impact factor: 4.223

4.  A biology-based approach for mixture toxicity of multiple endpoints over the life cycle.

Authors:  Tjalling Jager; Tine Vandenbrouck; Jan Baas; Wim M De Coen; Sebastiaan A L M Kooijman
Journal:  Ecotoxicology       Date:  2009-09-22       Impact factor: 2.823

5.  The combined toxicity assessment of carp (Cyprinus carpio) acetylcholinesterase activity by binary mixtures of chlorpyrifos and four other insecticides.

Authors:  Chen Chen; Yanhua Wang; Xueping Zhao; Qiang Wang; Yongzhong Qian
Journal:  Ecotoxicology       Date:  2013-12-23       Impact factor: 2.823

6.  Pesticide cocktails can interact synergistically on aquatic crustaceans.

Authors:  Katrine Banke Nørgaard; Nina Cedergreen
Journal:  Environ Sci Pollut Res Int       Date:  2010-01-15       Impact factor: 4.223

Review 7.  Quantifying synergy: a systematic review of mixture toxicity studies within environmental toxicology.

Authors:  Nina Cedergreen
Journal:  PLoS One       Date:  2014-05-02       Impact factor: 3.240

8.  Using Delaunay triangulation and Voronoi tessellation to predict the toxicities of binary mixtures containing hormetic compound.

Authors:  Rui Qu; Shu-Shen Liu; Qiao-Feng Zheng; Tong Li
Journal:  Sci Rep       Date:  2017-03-13       Impact factor: 4.379

  8 in total

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