Literature DB >> 12550091

Water quality objectives for mixtures of toxic chemicals: problems and perspectives.

M Vighi1, R Altenburger, A Arrhenius, T Backhaus, W Bödeker, H Blanck, F Consolaro, M Faust, A Finizio, K Froehner, P Gramatica, L H Grimme, F Grönvall, V Hamer, M Scholze, H Walter.   

Abstract

The need to develop water quality objectives not only for single substances but also for mixtures of chemicals seems evident. For that purpose, the conceptual basis could be the use of the two existing biometric models: concentration addition (CA) and independent action (IA), which is also called response addition. Both may allow calculation of the toxicity of mixtures of chemicals with similar modes of action (CA) or dissimilar modes of action (IA), respectively. The joint research project Prediction and Assessment of the Aquatic Toxicity of Mixtures of Chemicals (PREDICT) within the framework of the IVth Environment and Climate Programme of the European Commission, provided the opportunity to address (a) chemometric and QSAR criteria to classify substances as supposedly similarly or dissimilarly acting; (b) the predictive values of both models for the toxicity of mixtures at low, statistically nonsignificant effect concentrations of the individual components; and (c) the predictability of mixture toxicity at higher levels of biological complexity. In this article, the general outline, methodological approach, and some preliminary findings of PREDICT are presented. A procedure for classifying chemicals in relation to their structural and toxicological similarities has been developed. The predictive capabilities of CA and IA models have been demonstrated for single species and, to some extent, for multispecies testing. The role of very low effect concentrations in multiple mixtures has been evaluated. Problems and perspectives concerning the development of water quality objectives for mixtures are discussed.

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Year:  2003        PMID: 12550091     DOI: 10.1016/s0147-6513(02)00047-7

Source DB:  PubMed          Journal:  Ecotoxicol Environ Saf        ISSN: 0147-6513            Impact factor:   6.291


  10 in total

1.  Evaluating pesticide effects on freshwater invertebrate communities in alpine environment: a model ecosystem experiment.

Authors:  A Ippolito; M Carolli; E Varolo; S Villa; M Vighi
Journal:  Ecotoxicology       Date:  2012-06-21       Impact factor: 2.823

2.  Marine environmental risk assessment and acute water quality criterion for pentachlorophenol in coastal waters.

Authors:  R Beiras; T Tato
Journal:  Ecotoxicology       Date:  2018-04-07       Impact factor: 2.823

3.  New indexes for compound prioritization and complexity quantification on environmental monitoring inventories.

Authors:  Antoni Ginebreda; Aleksandra Jelić; Mira Petrović; Miren López de Alda; Damià Barceló
Journal:  Environ Sci Pollut Res Int       Date:  2011-07-07       Impact factor: 4.223

4.  Toxicity prediction and assessment of an environmentally realistic pesticide mixture to Daphnia magna and Raphidocelis subcapitata.

Authors:  E Silva; C Martins; A S Pereira; S Loureiro; M J Cerejeira
Journal:  Ecotoxicology       Date:  2018-04-26       Impact factor: 2.823

5.  Adaptive iterative design (AID): a novel approach for evaluating the interactive effects of multiple stressors on aquatic organisms.

Authors:  Stephen P Glaholt; Celia Y Chen; Eugene Demidenko; Deenie M Bugge; Carol L Folt; Joseph R Shaw
Journal:  Sci Total Environ       Date:  2012-06-18       Impact factor: 7.963

6.  Joint action and lethal levels of toluene, ethylbenzene, and xylene on midge (Chironomus plumosus) larvae.

Authors:  Xuefeng Li; Qixing Zhou; Yi Luo; Guang Yang; Tong Zhou
Journal:  Environ Sci Pollut Res Int       Date:  2012-11-28       Impact factor: 4.223

7.  Interaction effects of polycyclic aromatic hydrocarbons and heavy metals on a soil microalga, Chlorococcum sp. MM11.

Authors:  Suresh R Subashchandrabose; Mallavarapu Megharaj; Kadiyala Venkateswarlu; Ravi Naidu
Journal:  Environ Sci Pollut Res Int       Date:  2013-04-23       Impact factor: 4.223

8.  Prediction of the joint toxicity of five organophosphorus pesticides to Daphnia magna.

Authors:  Hong-Hu Zeng; Chang-Wen Lei; Ya-Hui Zhang; Ying Cao; Zheng-Tao Liu
Journal:  Ecotoxicology       Date:  2014-09-11       Impact factor: 2.823

9.  Assessing interactive mixture toxicity of carbamate and organophosphorus insecticides in the yabby (Cherax destructor).

Authors:  Ben Pham; Ana Miranda; Graeme Allinson; Dayanthi Nugegoda
Journal:  Ecotoxicology       Date:  2018-09-04       Impact factor: 2.823

10.  Mix-Tool: An Edge-of-Field Approach to Predict Pesticide Mixtures of Concern in Surface Water From Agricultural Crops.

Authors:  Antonio Finizio; Andrea Di Guardo; Luca Menaballi; Anna Barra Caracciolo; Paola Grenni
Journal:  Environ Toxicol Chem       Date:  2022-06-09       Impact factor: 4.218

  10 in total

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