Literature DB >> 15597892

What contributes to the combined effect of a complex mixture?

Rolf Altenburger1, Helge Walter, Matthias Grote.   

Abstract

The effect of a mixture of 10 compounds, which have previously been identified in an effect-directed analysis as potentially relevant for a specific contaminated riverine sediment (Brack et al. Arch. Environ. Contam. Toxicol. 1999, 37, 164), were investigated for the underlying joint effect. Components identified in an organic sediment extract included several PAHs (benzo[ghi]fluoranthene, benz[a]anthracene, fluoranthene, pyrene, 2-phenylnaphthalene, anthracene, and phenanthrene) plus prometryn, N-phenyl-2-naphthylamine, and parathion-methyl. Experiments were performed using a one-generation algal bioassay with the unicellular green algae Scenedesmus vacuolatus as well as chlorophyll fluorescence quenching analysis to describe the effects of the components and mixtures thereof. Analysis of the mixture effects based on concentration-response modeling of the effect data reveals that indeed effect contributions of several components can be expected although the mixture ratio is not equitoxic and the individual components vary greatly with respect to biological effect. Comparing predicted and observed mixture effects, the combined effect may not be attributed to a joint narcotic effect of the mixture components. Evidently, some of the components act specifically and dissimilar and may therefore be best described in their combined effect by response addition while for others a similar mode of action seems plausible. Chlorophyll fluorescence quenching analysis supports to discriminate between prometryn, N-phenyl-2-naphthylamine, and PAHs. A joint model for calculating the combined effect using concentration addition for the suspected unspecifically acting components in algae (PAHs and parathion-methyl) and subsequently response addition for this group and the other components clearly improves the description of the observed combined effect. Allocation of effect contributions to specific components using toxic units or effect contributions lead to different judgments. The observed combined effect of a 3-compound mixture of prometryn, N-phenyl-2-naphthylamine, and benzo[ghi]fluoranthene is indistinguishable from the effects of the original 10-compound mixture, demonstrating the need in site-specific assessment of complex contamination to account for the mode of action of contaminants. Implications forthe confirmation step in effect-directed analysis of substances causing effects in complex contaminated samples are discussed.

Entities:  

Mesh:

Substances:

Year:  2004        PMID: 15597892     DOI: 10.1021/es049528k

Source DB:  PubMed          Journal:  Environ Sci Technol        ISSN: 0013-936X            Impact factor:   9.028


  16 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.  Environmental risk of combined emerging pollutants in terrestrial environments: chlorophyll a fluorescence analysis.

Authors:  Víctor González-Naranjo; Karina Boltes; Irene de Bustamante; Pino Palacios-Diaz
Journal:  Environ Sci Pollut Res Int       Date:  2014-12-05       Impact factor: 4.223

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.  Organic chemicals jeopardize the health of freshwater ecosystems on the continental scale.

Authors:  Egina Malaj; Peter C von der Ohe; Matthias Grote; Ralph Kühne; Cédric P Mondy; Philippe Usseglio-Polatera; Werner Brack; Ralf B Schäfer
Journal:  Proc Natl Acad Sci U S A       Date:  2014-06-16       Impact factor: 11.205

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.  Assessing the combination effects of environmental estrogens in fish.

Authors:  Hui Zhang; Fan-Xiang Kong; Yang Yu; Xiao-Li Shi; Min Zhang; Hong-Er Tian
Journal:  Ecotoxicology       Date:  2010-08-15       Impact factor: 2.823

7.  Computational Modeling of Mixture Toxicity.

Authors:  Mainak Chatterjee; Kunal Roy
Journal:  Methods Mol Biol       Date:  2022

8.  Characterisation of microbial activity in the framework of natural attenuation without groundwater monitoring wells?: a new Direct-Push probe.

Authors:  Christian Schurig; Vinicio Alejandro Melo; Anja Miltner; Matthias Kaestner
Journal:  Environ Sci Pollut Res Int       Date:  2013-04-16       Impact factor: 4.223

9.  Effects of 3,4-dichloroaniline and diazinon on different biological organisation levels of zebrafish (Danio rerio) embryos and larvae.

Authors:  Volker Scheil; Cornelia Kienle; Raphaela Osterauer; Almut Gerhardt; Heinz-R Köhler
Journal:  Ecotoxicology       Date:  2008-12-18       Impact factor: 2.823

10.  A model-based prioritisation exercise for the European water framework directive.

Authors:  Klaus Daginnus; Stefania Gottardo; Ana Payá-Pérez; Paul Whitehouse; Helen Wilkinson; José-Manuel Zaldívar
Journal:  Int J Environ Res Public Health       Date:  2011-02-01       Impact factor: 3.390

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.