Literature DB >> 16639893

Toxicity assessment of environmentally relevant pollutant mixtures using a heuristic model.

Allen W Olmstead1, Gerald A LeBlanc.   

Abstract

In this study, 9 chemicals were chosen from a recent report on surface water concentrations of a variety of xenobiotics to test the hypothesis that the toxicity of chemical mixtures could be estimated using a model based on the toxicity of the individual chemicals. Concentration-response curves for the endpoints of lifespan, growth rate, and fecundity were generated for each chemical experimentally using the crustacean, Daphnia magna. From this data, a mathematical model for the combined toxicity of these chemicals was generated that merged the concepts of concentration addition and independent joint action. Toxicity of a mixture was modeled at various levels at which the ratio of the chemicals within the mixture was maintained at that reported for median detected environmental levels. Toxicity of the mixture was then determined experimentally and compared to model predictions. The model accurately predicted the most sensitive endpoint, as well as the lowest toxic effect level of the mixture. Results demonstrated that, for this mixture of chemicals, toxicity was not influenced significantly by interactions among the chemicals and a single constituent dominated toxicity. According to model predictions and experimental results, the median detected environmental concentrations of chemicals constituting this mixture provided no margin of safety.

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Year:  2005        PMID: 16639893     DOI: 10.1897/ieam_2004-005r.1

Source DB:  PubMed          Journal:  Integr Environ Assess Manag        ISSN: 1551-3777            Impact factor:   2.992


  23 in total

1.  The interactive effects of microcystin-LR and cylindrospermopsin on the growth rate of the freshwater algae Chlorella vulgaris.

Authors:  Carlos Pinheiro; Joana Azevedo; Alexandre Campos; Vítor Vasconcelos; Susana Loureiro
Journal:  Ecotoxicology       Date:  2016-02-24       Impact factor: 2.823

2.  Generalized Concentration Addition Model Predicts Glucocorticoid Activity Bioassay Responses to Environmentally Detected Receptor-Ligand Mixtures.

Authors:  Elizabeth Medlock Kakaley; Mary C Cardon; L Earl Gray; Phillip C Hartig; Vickie S Wilson
Journal:  Toxicol Sci       Date:  2019-03-01       Impact factor: 4.849

3.  The use of growth and behavioral endpoints to assess the effects of pesticide mixtures upon aquatic organisms.

Authors:  Simone Hasenbein; Sharon P Lawler; Juergen Geist; Richard E Connon
Journal:  Ecotoxicology       Date:  2015-01-29       Impact factor: 2.823

4.  The HR96 activator, atrazine, reduces sensitivity of D. magna to triclosan and DHA.

Authors:  Namrata Sengupta; Elizabeth J Litoff; William S Baldwin
Journal:  Chemosphere       Date:  2015-03-03       Impact factor: 7.086

5.  Linear regression model for predicting interactive mixture toxicity of pesticide and ionic liquid.

Authors:  Li-Tang Qin; Jie Wu; Ling-Yun Mo; Hong-Hu Zeng; Yan-Peng Liang
Journal:  Environ Sci Pollut Res Int       Date:  2015-05-02       Impact factor: 4.223

6.  The influence of natural stressors on the toxicity of nickel to Daphnia magna.

Authors:  Abel L G Ferreira; Pedro Serra; Amadeu M V M Soares; Susana Loureiro
Journal:  Environ Sci Pollut Res Int       Date:  2010-02-20       Impact factor: 4.223

Review 7.  A review of toxicity and mechanisms of individual and mixtures of heavy metals in the environment.

Authors:  Xiangyang Wu; Samuel J Cobbina; Guanghua Mao; Hai Xu; Zhen Zhang; Liuqing Yang
Journal:  Environ Sci Pollut Res Int       Date:  2016-03-11       Impact factor: 4.223

8.  Assessing the environmental hazard of individual and combined pharmaceuticals: acute and chronic toxicity of fluoxetine and propranolol in the crustacean Daphnia magna.

Authors:  Valentina Varano; Elena Fabbri; Andrea Pasteris
Journal:  Ecotoxicology       Date:  2017-04-27       Impact factor: 2.823

9.  RNA sequencing indicates that atrazine induces multiple detoxification genes in Daphnia magna and this is a potential source of its mixture interactions with other chemicals.

Authors:  Allison M Schmidt; Namrata Sengupta; Christopher A Saski; Rooksana E Noorai; William S Baldwin
Journal:  Chemosphere       Date:  2017-09-25       Impact factor: 7.086

10.  Evidence for dose-additive effects of pyrethroids on motor activity in rats.

Authors:  Marcelo J Wolansky; Chris Gennings; Michael J DeVito; Kevin M Crofton
Journal:  Environ Health Perspect       Date:  2009-06-08       Impact factor: 9.031

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