Literature DB >> 23994673

Metal mixture toxicity to aquatic biota in laboratory experiments: application of the WHAM-FTOX model.

E Tipping1, S Lofts.   

Abstract

The WHAM-FTOX model describes the combined toxic effects of protons and metal cations towards aquatic organisms through the toxicity function (FTOX), a linear combination of the products of organism-bound cation and a toxic potency coefficient (αi) for each cation. Organism-bound, metabolically-active, cation is quantified by the proxy variable, amount bound by humic acid (HA), as predicted by the WHAM chemical speciation model. We compared published measured accumulations of metals by living organisms (bacteria, algae, invertebrates) in different solutions, with WHAM predictions of metal binding to humic acid in the same solutions. After adjustment for differences in binding site density, the predictions were in reasonable line with observations (for logarithmic variables, r(2)=0.89, root mean squared deviation=0.44), supporting the use of HA binding as a proxy. Calculated loadings of H(+), Al, Cu, Zn, Cd, Pb and UO2 were used to fit observed toxic effects in 11 published mixture toxicity experiments involving bacteria, macrophytes, invertebrates and fish. Overall, WHAM-FTOX gave slightly better fits than a conventional additive model based on solution concentrations. From the derived values of αi, the toxicity of bound cations can tentatively be ranked in the order: H<Al<(Zn-Cu-Pb-UO2)<Cd. The WHAM-FTOX analysis indicates much narrower ranges of differences amongst individual organisms in metal toxicity tests than was previously thought. The model potentially provides a means to encapsulate knowledge contained within laboratory data, thereby permitting its application to field situations.
Copyright © 2013 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Aquatic organisms; Chemical speciation; Metals; Toxicity; WHAM; WHAM-F(TOX)

Mesh:

Substances:

Year:  2013        PMID: 23994673     DOI: 10.1016/j.aquatox.2013.08.003

Source DB:  PubMed          Journal:  Aquat Toxicol        ISSN: 0166-445X            Impact factor:   4.964


  6 in total

1.  Incorporating bioavailability into toxicity assessment of Cu-Ni, Cu-Cd, and Ni-Cd mixtures with the extended biotic ligand model and the WHAM-F(tox) approach.

Authors:  Hao Qiu; Martina G Vijver; Erkai He; Yang Liu; Peng Wang; Bing Xia; Erik Smolders; Liske Versieren; Willie J G M Peijnenburg
Journal:  Environ Sci Pollut Res Int       Date:  2015-08-08       Impact factor: 4.223

2.  Sorption and pH determine the long-term partitioning of cadmium in natural soils.

Authors:  Masoud M Ardestani; Cornelis A M van Gestel
Journal:  Environ Sci Pollut Res Int       Date:  2016-06-11       Impact factor: 4.223

3.  Evaluation of consistency for multiple experiments of a single combination in the time-dependence mixture toxicity assay.

Authors:  D A Dawson; G Pöch
Journal:  Toxicol Mech Methods       Date:  2017-07-20       Impact factor: 2.987

Review 4.  Review of Antimicrobial Resistance in the Environment and Its Relevance to Environmental Regulators.

Authors:  Andrew C Singer; Helen Shaw; Vicki Rhodes; Alwyn Hart
Journal:  Front Microbiol       Date:  2016-11-01       Impact factor: 5.640

5.  Impacts of particulate matter (PM2.5) on the behavior of freshwater snail Parafossarulus striatulus.

Authors:  Danny Hartono; Billion Lioe; Yixin Zhang; Bailiang Li; Jianzhen Yu
Journal:  Sci Rep       Date:  2017-04-05       Impact factor: 4.379

Review 6.  Validation of Bioavailability-Based Toxicity Models for Metals.

Authors:  Emily R Garman; Joseph S Meyer; Christine M Bergeron; Tamzin A Blewett; William H Clements; Michael C Elias; Kevin J Farley; Francesca Gissi; Adam C Ryan
Journal:  Environ Toxicol Chem       Date:  2020-01       Impact factor: 4.218

  6 in total

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