Literature DB >> 25418584

Metal mixture modeling evaluation project: 2. Comparison of four modeling approaches.

Kevin J Farley1, Joseph S Meyer, Laurie S Balistrieri, Karel A C De Schamphelaere, Yuichi Iwasaki, Colin R Janssen, Masashi Kamo, Stephen Lofts, Christopher A Mebane, Wataru Naito, Adam C Ryan, Robert C Santore, Edward Tipping.   

Abstract

As part of the Metal Mixture Modeling Evaluation (MMME) project, models were developed by the National Institute of Advanced Industrial Science and Technology (Japan), the US Geological Survey (USA), HDR|HydroQual (USA), and the Centre for Ecology and Hydrology (United Kingdom) to address the effects of metal mixtures on biological responses of aquatic organisms. A comparison of the 4 models, as they were presented at the MMME workshop in Brussels, Belgium (May 2012), is provided in the present study. Overall, the models were found to be similar in structure (free ion activities computed by the Windermere humic aqueous model [WHAM]; specific or nonspecific binding of metals/cations in or on the organism; specification of metal potency factors or toxicity response functions to relate metal accumulation to biological response). Major differences in modeling approaches are attributed to various modeling assumptions (e.g., single vs multiple types of binding sites on the organism) and specific calibration strategies that affected the selection of model parameters. The models provided a reasonable description of additive (or nearly additive) toxicity for a number of individual toxicity test results. Less-than-additive toxicity was more difficult to describe with the available models. Because of limitations in the available datasets and the strong interrelationships among the model parameters (binding constants, potency factors, toxicity response parameters), further evaluation of specific model assumptions and calibration strategies is needed.
© 2014 SETAC.

Entities:  

Keywords:  Biotic ligand model; Concentration addition; Metal bioavailability; Metal toxicity; WHAM-FTOX

Mesh:

Substances:

Year:  2015        PMID: 25418584     DOI: 10.1002/etc.2820

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


  5 in total

1.  A test of the additivity of acute toxicity of binary-metal mixtures of ni with Cd, Cu, and Zn to Daphnia magna, using the inflection point of the concentration-response curves.

Authors:  Elizabeth M Traudt; James F Ranville; Samantha A Smith; Joseph S Meyer
Journal:  Environ Toxicol Chem       Date:  2016-05-03       Impact factor: 3.742

2.  Development of Empirical Bioavailability Models for Metals.

Authors:  Kevin V Brix; David K DeForest; Lucinda Tear; Willie Peijnenburg; Adam Peters; Ellie T Middleton; Russ Erickson
Journal:  Environ Toxicol Chem       Date:  2020-01       Impact factor: 4.218

3.  Bioaccumulation and Toxicity of Cadmium, Copper, Nickel, and Zinc and Their Mixtures to Aquatic Insect Communities.

Authors:  Christopher A Mebane; Travis S Schmidt; Janet L Miller; Laurie S Balistrieri
Journal:  Environ Toxicol Chem       Date:  2020-04       Impact factor: 3.742

4.  Stream Mesocosm Experiments Show no Protective Effects of Calcium on Copper Toxicity to Macroinvertebrates.

Authors:  Yuichi Iwasaki; Pete Cadmus; James Ranville; William H Clements
Journal:  Environ Toxicol Chem       Date:  2022-03-21       Impact factor: 4.218

5.  Toddler temperament and prenatal exposure to lead and maternal depression.

Authors:  Annemarie Stroustrup; Hsiao-Hsien Hsu; Katherine Svensson; Lourdes Schnaas; Alejandra Cantoral; Maritsa Solano González; Mariana Torres-Calapiz; Chitra Amarasiriwardena; David C Bellinger; Brent A Coull; Martha M Téllez-Rojo; Robert O Wright; Rosalind J Wright
Journal:  Environ Health       Date:  2016-06-16       Impact factor: 5.984

  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.