Literature DB >> 18260697

An application of the biotic ligand model to predict the toxic effects of metal mixtures.

Masashi Kamo1, Takashi Nagai.   

Abstract

The rapidly developing biotic ligand model (BLM) allows us to predict the toxicity of heavy metals in water of various chemistries; however, the current BLM predicts the toxicity of a single metal and not the toxic effects of metal mixtures. The toxic mechanisms of heavy metals are not yet completely understood, but hypocalcemia is suggested to be the most likely toxic mechanism for some metals. The BLM, which predicts the toxicity of metals by the amount of metals binding to ligand, is modified to predict the toxicity by the proportion of nonmetal binding ligand that is available for calcium uptake under the assumption that the organisms die because of hypocalcemia when so few ligands are available for calcium uptake. Because the proportion can be computed when multiple metals are present, the toxic effects of metal mixtures can be predicted. Zinc, copper, and cadmium toxicity to rainbow trout (Oncorhynchus mykiss) are considered. All data are collected from the literature, and a meta-analysis using the modified version of the BLM is conducted. The present study found that the proportion of nonmetal binding ligand is a constant value for any test condition. The proportion is not influenced by water chemistry or by metal species. Using the nature of constant proportion, toxicities of metals are well estimated. In addition, the toxic effects of metal mixtures are the simple sum of the toxicities of each metal (additive effect) corresponding to the bioavailable form of the metals. In terms of total concentration of metals in water, however, nonadditive effects, such as antagonism and synergism, are possible.

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Year:  2008        PMID: 18260697     DOI: 10.1897/07-425

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


  4 in total

1.  Cadmium, lead and their mixtures with copper: Paracentrotus lividus embryotoxicity assessment, prediction, and offspring quality evaluation.

Authors:  Sonia Manzo; Silvia Buono; Carlo Cremisini
Journal:  Ecotoxicology       Date:  2010-06-15       Impact factor: 2.823

2.  Interaction effects of polycyclic aromatic hydrocarbons and heavy metals on a soil microalga, Chlorococcum sp. MM11.

Authors:  Suresh R Subashchandrabose; Mallavarapu Megharaj; Kadiyala Venkateswarlu; Ravi Naidu
Journal:  Environ Sci Pollut Res Int       Date:  2013-04-23       Impact factor: 4.223

3.  Predicting bioavailability and bioaccumulation of arsenic by freshwater clam Corbicula fluminea using valve daily activity.

Authors:  Wei-Yu Chen; Chung-Min Liao; Li-John Jou; Sheng-Feng Jau
Journal:  Environ Monit Assess       Date:  2009-10-22       Impact factor: 2.513

Review 4.  How Specific Is Site-Specific? A Review and Guidance for Selecting and Evaluating Approaches for Deriving Local Water Quality Benchmarks.

Authors:  Rick A van Dam; Alicia C Hogan; Andrew J Harford; Chris L Humphrey
Journal:  Integr Environ Assess Manag       Date:  2019-09       Impact factor: 2.992

  4 in total

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