Literature DB >> 15597870

Biotic ligand model, a flexible tool for developing site-specific water quality guidelines for metals.

Soumya Niyogi1, Chris M Wood.   

Abstract

The biotic ligand model (BLM) is a mechanistic approach that greatly improves our ability to generate site-specific ambient water quality criteria (AWQC)for metals in the natural environment relative to conventional relationships based only on hardness. The model is flexible; all aspects of water chemistry that affect toxicity can be included, so the BLM integrates the concept of bioavailability into AWQC--in essence the computational equivalent of water effect ratio (WER) testing. The theory of the BLM evolved from the gill surface interaction model (GSIM) and the free ion activity model (FIAM). Using an equilibrium geochemical modeling framework, the BLM incorporates the competition of the free metal ion with other naturally occurring cations (e.g., Ca2+, Na+, Mg2-, H+), togetherwith complexation by abiotic ligands [e.g., DOM (dissolved organic matter), chloride, carbonates, sulfide] for binding with the biotic ligand, the site of toxic action on the organism. On the basis of fish gill research, the biotic ligands appear to be active ion uptake pathways (e.g., Na+ transporters for copper and silver, Ca2+ transporters for zinc, cadmium, lead, and cobalt), whose geochemical characteristics (affinity = log K, capacity = Bmax) can be quantified in short-term (3-24 h) in vivo gill binding tests. In general, the greater the toxicity of a particular metal, the higher the log K. The BLM quantitatively relates short-term binding to acute toxicity, with the LA50 (lethal accumulation) being predictive of the LC50 (generally 96 h for fish, 48 h for daphnids). We critically evaluate currently available BLMs for copper, silver, zinc, and nickel and gill binding approaches for cadmium, lead, and cobalt on which BLMs could be based. Most BLMs originate from tests with fish and have been recalibrated for more sensitive daphnids by adjustment of LA50 so as to fit the results of toxicity testing. Issues of concern include the arbitrary nature of LA50 adjustments; possible mechanistic differences between daphnids and fish that may alter log K values, particularly for hardness cations (Ca2+, Mg2+); assumption of fixed biotic ligand characteristics in the face of evidence that they may change in response to acclimation and diet; difficulties in dealing with DOM and incorporating its heterogeneity into the modeling framework; and the paucity of validation exercises on natural water data sets. Important needs include characterization of biotic ligand properties at the molecular level; development of in vitro BLMs, extension of the BLM approach to a wider range of organisms, to the estuarine and marine environment, and to deal with metal mixtures; and further development of BLM frameworks to predict chronic toxicity and thereby generate chronic AWQC.

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Year:  2004        PMID: 15597870     DOI: 10.1021/es0496524

Source DB:  PubMed          Journal:  Environ Sci Technol        ISSN: 0013-936X            Impact factor:   9.028


  38 in total

1.  Evaluating the ameliorative effect of natural dissolved organic matter (DOM) quality on copper toxicity to Daphnia magna: improving the BLM.

Authors:  Hassan A Al-Reasi; D Scott Smith; Chris M Wood
Journal:  Ecotoxicology       Date:  2011-11-10       Impact factor: 2.823

2.  Inhibition of copper uptake in yeast reveals the copper transporter Ctr1p as a potential molecular target of saxitoxin.

Authors:  Kathleen D Cusick; Steven C Minkin; Sheel C Dodani; Christopher J Chang; Steven W Wilhelm; Gary S Sayler
Journal:  Environ Sci Technol       Date:  2012-02-16       Impact factor: 9.028

3.  Critical body residues, Michaelis-Menten analysis of bioaccumulation, lethality and behaviour as endpoints of waterborne Ni toxicity in two teleosts.

Authors:  Erin M Leonard; Julie R Marentette; Sigal Balshine; Chris M Wood
Journal:  Ecotoxicology       Date:  2014-01-09       Impact factor: 2.823

Review 4.  Consideration of the bioavailability of metal/metalloid species in freshwaters: experiences regarding the implementation of biotic ligand model-based approaches in risk assessment frameworks.

Authors:  Heinz Rüdel; Cristina Díaz Muñiz; Hemda Garelick; Nadia G Kandile; Bradley W Miller; Leonardo Pantoja Munoz; Willie J G M Peijnenburg; Diane Purchase; Yehuda Shevah; Patrick van Sprang; Martina Vijver; Jos P M Vink
Journal:  Environ Sci Pollut Res Int       Date:  2015-03-08       Impact factor: 4.223

5.  Accounting for both local aquatic community composition and bioavailability in setting site-specific quality standards for zinc.

Authors:  Adam Peters; Peter Simpson; Alessandra Moccia
Journal:  Environ Sci Pollut Res Int       Date:  2013-05-02       Impact factor: 4.223

6.  Dynamic features of ecophysiological response of freshwater clam to arsenic revealed by BLM-based toxicological model.

Authors:  Wei-Yu Chen; Chung-Min Liao
Journal:  Ecotoxicology       Date:  2010-04-06       Impact factor: 2.823

7.  Radiation-induced bystander effects in the Atlantic salmon (salmo salar L.) following mixed exposure to copper and aluminum combined with low-dose gamma radiation.

Authors:  Carmel Mothersill; Richard W Smith; Lene Sørlie Heier; Hans-Christian Teien; Ole Christian Lind; Ole Christian Land; Colin B Seymour; Deborah Oughton; Brit Salbu
Journal:  Radiat Environ Biophys       Date:  2013-12-19       Impact factor: 1.925

8.  Isobolographic analysis of the interaction between cadmium (II) and sodium sulphate: toxicological consequences.

Authors:  Roi Mera; Enrique Torres; Julio Abalde
Journal:  Environ Sci Pollut Res Int       Date:  2015-12-14       Impact factor: 4.223

9.  Incorporating bioavailability into toxicity assessment of Cu-Ni, Cu-Cd, and Ni-Cd mixtures with the extended biotic ligand model and the WHAM-F(tox) approach.

Authors:  Hao Qiu; Martina G Vijver; Erkai He; Yang Liu; Peng Wang; Bing Xia; Erik Smolders; Liske Versieren; Willie J G M Peijnenburg
Journal:  Environ Sci Pollut Res Int       Date:  2015-08-08       Impact factor: 4.223

10.  Can commonly measurable traits explain differences in metal accumulation and toxicity in earthworm species?

Authors:  Hao Qiu; Willie J G M Peijnenburg; Cornelis A M van Gestel; Martina G Vijver
Journal:  Ecotoxicology       Date:  2013-11-06       Impact factor: 2.823

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