Testing WHAM‐FTOX with laboratory toxicity data for mixtures of metals (Cu, Zn, Cd, Ag, Pb)

The Windermere humic aqueous model using the toxicity function (WHAM‐FTOX) describes cation toxicity to aquatic organisms in terms of 1) accumulation by the organism of metabolically active protons and metals at reversible binding sites, and 2) differing toxic potencies of the bound cations. Cation accumulation (νi, in mol g−1) is estimated through calculations with the WHAM chemical speciation model by assuming that organism binding sites can be represented by those of humic acid. Toxicity coefficients (αi) are combined with νi to obtain the variable FTOX (= Σ αiνi) which, between lower and upper thresholds (FTOX,LT, FTOX,UT), is linearly related to toxic effect. Values of αi, FTOX,LT, and FTOX,LT are obtained by fitting toxicity data. Reasonable fits (72% of variance in toxic effect explained overall) were obtained for 4 large metal mixture acute toxicity experiments involving daphnids (Cu, Zn, Cd), lettuce (Cu, Zn, Ag), and trout (Zn, Cd, Pb). Strong nonadditive effects, most apparent in results for tests involving Cd, could be explained approximately by purely chemical competition for metal accumulation. Tentative interpretation of parameter values obtained from these and other experimental data suggests the following order of bound cation toxicity: H < Al < (Cu Zn Pb UO2) < (Cd Ag). Another trend is a strong increase in Cd toxicity relative to that of Zn as organism complexity increases (from bacteria to fish). Environ Toxicol Chem 2015;34:788–798. © 2014 SETAC

[1]  K. Farley,et al.  Metal Mixture Modeling Evaluation project: 3. Lessons learned and steps forward , 2015, Environmental toxicology and chemistry.

[2]  L. Balistrieri,et al.  Expanding metal mixture toxicity models to natural stream and lake invertebrate communities , 2015, Environmental toxicology and chemistry.

[3]  M. Kamo,et al.  Testing an application of a biotic ligand model to predict acute toxicity of metal mixtures to rainbow trout , 2015, Environmental toxicology and chemistry.

[4]  J. Ranville,et al.  Acute toxicity of binary and ternary mixtures of Cd, Cu, and Zn to Daphnia magna , 2015, Environmental toxicology and chemistry.

[5]  Adam C. Ryan,et al.  Development and application of a multimetal multibiotic ligand model for assessing aquatic toxicity of metal mixtures , 2015, Environmental toxicology and chemistry.

[6]  Adam C. Ryan,et al.  Metal Mixture Modeling Evaluation project: 2. Comparison of four modeling approaches , 2015, Environmental toxicology and chemistry.

[7]  E. Garman,et al.  Metal Mixtures Modeling Evaluation project: 1. Background , 2015, Environmental toxicology and chemistry.

[8]  R. Dwyer,et al.  Modeling and interpreting biological effects of mixtures in the environment: Introduction to the metal mixture modeling evaluation project , 2015, Environmental toxicology and chemistry.

[9]  S. Lofts,et al.  Metal mixture toxicity to aquatic biota in laboratory experiments: application of the WHAM-FTOX model. , 2013, Aquatic toxicology.

[10]  M. Vijver,et al.  Modelling metal-metal interactions and metal toxicity to lettuce Lactuca sativa following mixture exposure (Cu²⁺-Zn²⁺ and Cu²⁺-Ag⁺). , 2013, Environmental pollution.

[11]  C. Mebane,et al.  Acute toxicity of cadmium, lead, zinc, and their mixtures to stream‐resident fish and invertebrates , 2012, Environmental toxicology and chemistry.

[12]  M. Vijver,et al.  Predicting effects of cations on copper toxicity to lettuce (Lactuca sativa) by the biotic ligand model , 2012, Environmental toxicology and chemistry.

[13]  S. Luoma,et al.  Metal toxicity, uptake and bioaccumulation in aquatic invertebrates--modelling zinc in crustaceans. , 2011, Aquatic toxicology.

[14]  Jinsung An,et al.  Extended biotic ligand model for prediction of mixture toxicity of Cd and Pb using single metal toxicity data , 2011, Environmental toxicology and chemistry.

[15]  Stephen Lofts,et al.  Humic Ion-Binding Model VII: a revised parameterisation of cation-binding by humic substances , 2011 .

[16]  S. Ormerod,et al.  Toxicity of proton-metal mixtures in the field: linking stream macroinvertebrate species diversity to chemical speciation and bioavailability. , 2010, Aquatic toxicology.

[17]  S. Lofts,et al.  Metal accumulation by stream bryophytes, related to chemical speciation. , 2008, Environmental pollution.

[18]  L. Balistrieri,et al.  Dissolved and labile concentrations of Cd, Cu, Pb, and Zn in the South Fork Coeur d’Alene River, Idaho: Comparisons among chemical equilibrium models and implications for biotic ligand models , 2008 .

[19]  S. Lofts,et al.  The Chemical Speciation of Fe(III) in Freshwaters , 2008 .

[20]  R. Shoji,et al.  Toxicity of copper and cadmium in combinations to duckweed analyzed by the biotic ligand model , 2008, Environmental toxicology.

[21]  S. Lofts,et al.  Deriving soil critical limits for Cu, Zn, Cd, and Pb: a method based on free ion concentrations. , 2004, Environmental science & technology.

[22]  R. Playle Using multiple metal-gill binding models and the toxic unit concept to help reconcile multiple-metal toxicity results. , 2004, Aquatic toxicology.

[23]  Daren M. Carlisle,et al.  HEAVY METALS STRUCTURE BENTHIC COMMUNITIES IN COLORADO MOUNTAIN STREAMS , 2000 .

[24]  E. Tipping Humic Ion-Binding Model VI: An Improved Description of the Interactions of Protons and Metal Ions with Humic Substances , 1998 .

[25]  E. Tipping WHAM—a chemical equilibrium model and computer code for waters, sediments, and soils incorporating a discrete site/electrostatic model of ion-binding by humic substances , 1994 .

[26]  P. Hodson,et al.  Toxicity of Trace Metal Mixtures to Alevin Rainbow Trout (Oncorhynchus mykiss) and Larval Fathead Minnow (Pimephales promelas) in Soft, Acidic Water , 1993 .

[27]  Arthur E. Martell,et al.  Ligand design for selective complexation of metal ions in aqueous solution , 1989 .