Predicting relative toxicity and interactions of divalent metal ions: Microtox{reg_sign} bioluminescence assay

Newman, M C; McCloskey, J T

doi:10.1002/etc.5620150308

Title: Predicting relative toxicity and interactions of divalent metal ions: Microtox{reg_sign} bioluminescence assay

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Abstract

Both relative toxicity and interactions between paired metal ions were predicted with least-squares linear regression and various ion characteristics. Microtox{reg_sign} 15 min EC50s (expressed as free ion) for Ca(II), Cd(II), Cu(II), Hg(II), Mg(II), Mn(II), Ni(II), Pb(II), and Zn(II) were most effectively modeled with the constant for the first hydrolysis (K{sub H} for M{sup n+} + H{sub 2}O {yields} MOH{sup a{minus}1} + H{sup +}) although other ion characteristics were also significant in regression models. The {vert_bar}log K{sub H}{vert_bar} is correlated with metal ion affinity to intermediate ligands such as many biochemical functional groups with O donor atoms. Further, ordination of metals according to ion characteristics, e.g., {vert_bar}log K{sub H}{vert_bar} facilitated prediction of paired metal interactions. Pairing metals with strong tendencies to complex with intermediate or soft ligands such as those with O or S donor atoms resulted in strong interactions.

Authors:

Newman, M C; McCloskey, J T ^[1]

Savannah River Ecology Lab., Aiken, SC (United States)

Publication Date:: Fri Mar 01 00:00:00 EST 1996

Sponsoring Org.:: USDOE

OSTI Identifier:: 215598

Resource Type:: Journal Article

Journal Name:: Environmental Toxicology and Chemistry

Additional Journal Information:: Journal Volume: 15; Journal Issue: 3; Other Information: PBD: Mar 1996

Country of Publication:: United States

Language:: English

Subject:: 56 BIOLOGY AND MEDICINE, APPLIED STUDIES; CALCIUM; BIOASSAY; CADMIUM; COPPER; MERCURY; MAGNESIUM; MANGANESE; NICKEL; LEAD; ZINC; PHOTOSYNTHETIC BACTERIA; SENSITIVITY; FORECASTING; MATHEMATICAL MODELS

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                    Newman, M C, and McCloskey, J T. Predicting relative toxicity and interactions of divalent metal ions: Microtox{reg_sign} bioluminescence assay.  United States: N. p., 1996. 
        Web.  doi:10.1002/etc.5620150308.

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                    Newman, M C, & McCloskey, J T. Predicting relative toxicity and interactions of divalent metal ions: Microtox{reg_sign} bioluminescence assay.  United States.  https://doi.org/10.1002/etc.5620150308

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                    Newman, M C, and McCloskey, J T. 1996.  
        "Predicting relative toxicity and interactions of divalent metal ions: Microtox{reg_sign} bioluminescence assay".  United States.  https://doi.org/10.1002/etc.5620150308.

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@article{osti_215598,

  title        = {Predicting relative toxicity and interactions of divalent metal ions: Microtox{reg_sign} bioluminescence assay},

  author       = {Newman, M C and McCloskey, J T},

  abstractNote = {Both relative toxicity and interactions between paired metal ions were predicted with least-squares linear regression and various ion characteristics. Microtox{reg_sign} 15 min EC50s (expressed as free ion) for Ca(II), Cd(II), Cu(II), Hg(II), Mg(II), Mn(II), Ni(II), Pb(II), and Zn(II) were most effectively modeled with the constant for the first hydrolysis (K{sub H} for M{sup n+} + H{sub 2}O {yields} MOH{sup a{minus}1} + H{sup +}) although other ion characteristics were also significant in regression models. The {vert_bar}log K{sub H}{vert_bar} is correlated with metal ion affinity to intermediate ligands such as many biochemical functional groups with O donor atoms. Further, ordination of metals according to ion characteristics, e.g., {vert_bar}log K{sub H}{vert_bar} facilitated prediction of paired metal interactions. Pairing metals with strong tendencies to complex with intermediate or soft ligands such as those with O or S donor atoms resulted in strong interactions.},

  doi          = {10.1002/etc.5620150308},

  url          = {https://www.osti.gov/biblio/215598},
  journal      = {Environmental Toxicology and Chemistry},
number       = 3,

  volume       = 15,

  place        = {United States},

  year         = {Fri Mar 01 00:00:00 EST 1996},

  month        = {Fri Mar 01 00:00:00 EST 1996}

}

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