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Modeling toxicity of binary metal mixtures (Cu(2+) -Ag(+) , Cu(2+) -Zn(2+)) to lettuce, Lactuca sativa, with the biotic ligand model.
Environ Toxicol Chem. 2013 Jan; 32(1):137-43.ET

Abstract

The biotic ligand model (BLM) was applied to predict metal toxicity to lettuce, Lactuca sativa. Cu(2+) had the lowest median effective activity (EA50(M)), compared with Ag(+) and Zn(2+) (EA50(Cu) = 2.60 × 10(-8) M, EA50(Ag) = 1.34 × 10(-7) M, EA50(Zn) = 1.06 × 10(-4) M). At the 50% response level, the fraction of the total number of biotic ligands occupied by ions (f50(M)) was lowest for Ag(+) among the metals (f50(Ag) = 0.22, f50(Cu) = 0.36, f50(Zn) = 0.42). Cu(2+) had the highest affinity for biotic ligands compared with Ag(+) and Zn(2+) , as shown by stability constants of the cation-biotic ligand binding, expressed as log K(MBL) (log K(CuBL) = 7.40, log K(AgBL) = 6.39, log K(ZnBL) = 4.00). Furthermore, the BLM was combined with the toxic equivalency factor approach in predicting toxicity of mixtures of Cu(2+) -Zn(2+) and Cu(2+) -Ag(+) . The fraction of biotic ligands occupied by ions was used to determine the relative toxic potency of metals and the toxic equivalency quotient (TEQ) of mixtures. This approach allowed for including interactions in estimating mixture toxicity and showed good predictive power (r(2) = 0.64-0.84). The TEQ at the 50% response level (TEQ50, Cu(2+) equivalents) for Cu(2+) -Zn(2+) mixtures was significantly lower than the value for Cu(2+) -Ag(+) mixtures. Joint toxicity depended on both TEQ and specific composition of the mixture. The present study supports the use of the accumulation of metal ions at the biotic ligands as a predictor of toxicity of single metals and mixtures.

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Publisher Full Text (DOI)

Authors+Show Affiliations

Yen Le TT
Radboud University Nijmegen, Institute for Water and Wetland Research, Department of Environmental Science, Nijmegen, The Netherlands.
Vijver MG
No affiliation info available
Jan Hendriks A
No affiliation info available
Peijnenburg WJ
No affiliation info available

MeSH

Cations, DivalentLettuceLigandsMetalsModels, BiologicalModels, ChemicalRisk AssessmentSoil Pollutants

Pub Type(s)

Journal Article
Research Support, Non-U.S. Gov't

Language

eng

PubMed ID

23109233

Citation

Yen Le, T T., et al. "Modeling Toxicity of Binary Metal Mixtures (Cu(2+) -Ag(+) , Cu(2+) -Zn(2+)) to Lettuce, Lactuca Sativa, With the Biotic Ligand Model." Environmental Toxicology and Chemistry, vol. 32, no. 1, 2013, pp. 137-43.
Yen Le TT, Vijver MG, Jan Hendriks A, et al. Modeling toxicity of binary metal mixtures (Cu(2+) -Ag(+) , Cu(2+) -Zn(2+)) to lettuce, Lactuca sativa, with the biotic ligand model. Environ Toxicol Chem. 2013;32(1):137-43.
Yen Le, T. T., Vijver, M. G., Jan Hendriks, A., & Peijnenburg, W. J. (2013). Modeling toxicity of binary metal mixtures (Cu(2+) -Ag(+) , Cu(2+) -Zn(2+)) to lettuce, Lactuca sativa, with the biotic ligand model. Environmental Toxicology and Chemistry, 32(1), 137-43. https://doi.org/10.1002/etc.2039
Yen Le TT, et al. Modeling Toxicity of Binary Metal Mixtures (Cu(2+) -Ag(+) , Cu(2+) -Zn(2+)) to Lettuce, Lactuca Sativa, With the Biotic Ligand Model. Environ Toxicol Chem. 2013;32(1):137-43. PubMed PMID: 23109233.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - Modeling toxicity of binary metal mixtures (Cu(2+) -Ag(+) , Cu(2+) -Zn(2+)) to lettuce, Lactuca sativa, with the biotic ligand model. AU - Yen Le,T T, AU - Vijver,Martina G, AU - Jan Hendriks,A, AU - Peijnenburg,Willie J G M, Y1 - 2012/11/23/ PY - 2012/04/21/received PY - 2012/07/04/revised PY - 2012/08/28/accepted PY - 2012/10/31/entrez PY - 2012/10/31/pubmed PY - 2013/7/24/medline SP - 137 EP - 43 JF - Environmental toxicology and chemistry JO - Environ Toxicol Chem VL - 32 IS - 1 N2 - The biotic ligand model (BLM) was applied to predict metal toxicity to lettuce, Lactuca sativa. Cu(2+) had the lowest median effective activity (EA50(M)), compared with Ag(+) and Zn(2+) (EA50(Cu) = 2.60 × 10(-8) M, EA50(Ag) = 1.34 × 10(-7) M, EA50(Zn) = 1.06 × 10(-4) M). At the 50% response level, the fraction of the total number of biotic ligands occupied by ions (f50(M)) was lowest for Ag(+) among the metals (f50(Ag) = 0.22, f50(Cu) = 0.36, f50(Zn) = 0.42). Cu(2+) had the highest affinity for biotic ligands compared with Ag(+) and Zn(2+) , as shown by stability constants of the cation-biotic ligand binding, expressed as log K(MBL) (log K(CuBL) = 7.40, log K(AgBL) = 6.39, log K(ZnBL) = 4.00). Furthermore, the BLM was combined with the toxic equivalency factor approach in predicting toxicity of mixtures of Cu(2+) -Zn(2+) and Cu(2+) -Ag(+) . The fraction of biotic ligands occupied by ions was used to determine the relative toxic potency of metals and the toxic equivalency quotient (TEQ) of mixtures. This approach allowed for including interactions in estimating mixture toxicity and showed good predictive power (r(2) = 0.64-0.84). The TEQ at the 50% response level (TEQ50, Cu(2+) equivalents) for Cu(2+) -Zn(2+) mixtures was significantly lower than the value for Cu(2+) -Ag(+) mixtures. Joint toxicity depended on both TEQ and specific composition of the mixture. The present study supports the use of the accumulation of metal ions at the biotic ligands as a predictor of toxicity of single metals and mixtures. SN - 1552-8618 UR - https://www.unboundmedicine.com/medline/citation/23109233/Modeling_toxicity_of_binary_metal_mixtures__Cu_2+___Ag_+___Cu_2+___Zn_2+___to_lettuce_Lactuca_sativa_with_the_biotic_ligand_model_ L2 - https://doi.org/10.1002/etc.2039 DB - PRIME DP - Unbound Medicine ER -