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Delineating ion-ion interactions by electrostatic modeling for predicting rhizotoxicity of metal mixtures to lettuce Lactuca sativa.
Environ Toxicol Chem. 2014 Sep; 33(9):1988-95.ET

Abstract

Effects of ion-ion interactions on metal toxicity to lettuce Lactuca sativa were studied based on the electrical potential at the plasma membrane surface (ψ0). Surface interactions at the proximate outside of the membrane influenced ion activities at the plasma membrane surface ({M(n+)}0). At a given free Cu(2+) activity in the bulk medium ({Cu(2+)}b), additions of Na(+), K(+), Ca(2+), and Mg(2+) resulted in substantial decreases in {Cu(2+)}0. Additions of Zn(2+) led to declines in {Cu(2+)}0, but Cu(2+) and Ag(+) at the exposure levels tested had negligible effects on the plasma membrane surface activity of each other. Metal toxicity was expressed by the {M(n+)}0 -based strength coefficient, indicating a decrease of toxicity in the order: Ag(+) > Cu(2+) > Zn(2+). Adsorbed Na(+), K(+), Ca(2+), and Mg(2+) had significant and dose-dependent effects on Cu(2+) toxicity in terms of osmolarity. Internal interactions between Cu(2+) and Zn(2+) and between Cu(2+) and Ag(+) were modeled by expanding the strength coefficients in concentration addition and response multiplication models. These extended models consistently indicated that Zn(2+) significantly alleviated Cu(2+) toxicity. According to the extended concentration addition model, Ag(+) significantly enhanced Cu(2+) toxicity whereas Cu(2+) reduced Ag(+) toxicity. By contrast, the response multiplication model predicted insignificant effects of adsorbed Cu(2+) and Ag(+) on the toxicity of each other. These interactions were interpreted using ψ0, demonstrating its influence on metal toxicity.

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Authors+Show Affiliations

Le TT
Department of Environmental Sciences, Institute for Water and Wetland Research, Radboud University Nijmegen, Nijmegen, the Netherlands; Laboratory for Ecological Risk Assessment, National Institute for Public Health and the Environment, Bilthoven, the Netherlands.
Wang P
No affiliation info available
Vijver MG
No affiliation info available
Kinraide TB
No affiliation info available
Hendriks AJ
No affiliation info available
Peijnenburg WJ
No affiliation info available

MeSH

Biological TransportCationsCell MembraneLettuceMetalsModels, BiologicalStatic Electricity

Pub Type(s)

Journal Article

Language

eng

PubMed ID

24863101

Citation

Le, T T Yen, et al. "Delineating Ion-ion Interactions By Electrostatic Modeling for Predicting Rhizotoxicity of Metal Mixtures to Lettuce Lactuca Sativa." Environmental Toxicology and Chemistry, vol. 33, no. 9, 2014, pp. 1988-95.
Le TT, Wang P, Vijver MG, et al. Delineating ion-ion interactions by electrostatic modeling for predicting rhizotoxicity of metal mixtures to lettuce Lactuca sativa. Environ Toxicol Chem. 2014;33(9):1988-95.
Le, T. T., Wang, P., Vijver, M. G., Kinraide, T. B., Hendriks, A. J., & Peijnenburg, W. J. (2014). Delineating ion-ion interactions by electrostatic modeling for predicting rhizotoxicity of metal mixtures to lettuce Lactuca sativa. Environmental Toxicology and Chemistry, 33(9), 1988-95. https://doi.org/10.1002/etc.2643
Le TT, et al. Delineating Ion-ion Interactions By Electrostatic Modeling for Predicting Rhizotoxicity of Metal Mixtures to Lettuce Lactuca Sativa. Environ Toxicol Chem. 2014;33(9):1988-95. PubMed PMID: 24863101.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - Delineating ion-ion interactions by electrostatic modeling for predicting rhizotoxicity of metal mixtures to lettuce Lactuca sativa. AU - Le,T T Yen, AU - Wang,Peng, AU - Vijver,Martina G, AU - Kinraide,Thomas B, AU - Hendriks,A Jan, AU - Peijnenburg,Willie J G M, Y1 - 2014/07/18/ PY - 2014/03/15/received PY - 2014/04/12/revised PY - 2014/05/21/accepted PY - 2014/5/28/entrez PY - 2014/5/28/pubmed PY - 2014/10/16/medline KW - Interactions KW - Membrane surface KW - Metal mixture KW - Model KW - Plant KW - Toxicity SP - 1988 EP - 95 JF - Environmental toxicology and chemistry JO - Environ Toxicol Chem VL - 33 IS - 9 N2 - Effects of ion-ion interactions on metal toxicity to lettuce Lactuca sativa were studied based on the electrical potential at the plasma membrane surface (ψ0). Surface interactions at the proximate outside of the membrane influenced ion activities at the plasma membrane surface ({M(n+)}0). At a given free Cu(2+) activity in the bulk medium ({Cu(2+)}b), additions of Na(+), K(+), Ca(2+), and Mg(2+) resulted in substantial decreases in {Cu(2+)}0. Additions of Zn(2+) led to declines in {Cu(2+)}0, but Cu(2+) and Ag(+) at the exposure levels tested had negligible effects on the plasma membrane surface activity of each other. Metal toxicity was expressed by the {M(n+)}0 -based strength coefficient, indicating a decrease of toxicity in the order: Ag(+) > Cu(2+) > Zn(2+). Adsorbed Na(+), K(+), Ca(2+), and Mg(2+) had significant and dose-dependent effects on Cu(2+) toxicity in terms of osmolarity. Internal interactions between Cu(2+) and Zn(2+) and between Cu(2+) and Ag(+) were modeled by expanding the strength coefficients in concentration addition and response multiplication models. These extended models consistently indicated that Zn(2+) significantly alleviated Cu(2+) toxicity. According to the extended concentration addition model, Ag(+) significantly enhanced Cu(2+) toxicity whereas Cu(2+) reduced Ag(+) toxicity. By contrast, the response multiplication model predicted insignificant effects of adsorbed Cu(2+) and Ag(+) on the toxicity of each other. These interactions were interpreted using ψ0, demonstrating its influence on metal toxicity. SN - 1552-8618 UR - https://www.unboundmedicine.com/medline/citation/24863101/Delineating_ion_ion_interactions_by_electrostatic_modeling_for_predicting_rhizotoxicity_of_metal_mixtures_to_lettuce_Lactuca_sativa_ DB - PRIME DP - Unbound Medicine ER -