Literature DB >> 11596774

Biotic ligand model of the acute toxicity of metals. 1. Technical basis.

D M Di Toro1, H E Allen, H L Bergman, J S Meyer, P R Paquin, R C Santore.   

Abstract

The biotic ligand model (BLM) of acute metal toxicity to aquatic organisms is based on the idea that mortality occurs when the metal-biotic ligand complex reaches a critical concentration. For fish, the biotic ligand is either known or suspected to be the sodium or calcium channel proteins in the gill surface that regulate the ionic composition of the blood. For other organisms, it is hypothesized that a biotic ligand exists and that mortality can be modeled in a similar way. The biotic ligand interacts with the metal cations in solution. The amount of metal that binds is determined by a competition for metal ions between the biotic ligand and the other aqueous ligands, particularly dissolved organic matter (DOM), and the competition for the biotic ligand between the toxic metal ion and the other metal cations in solution, for example, calcium. The model is a generalization of the free ion activity model that relates toxicity to the concentration of the divalent metal cation. The difference is the presence of competitive binding at the biotic ligand, which models the protective effects of other metal cations, and the direct influence of pH. The model is implemented using the Windermere humic aqueous model (WHAM) model of metal-DOM complexation. It is applied to copper and silver using gill complexation constants reported by R. Playle and coworkers. Initial application is made to the fathead minnow data set reported by R. Erickson and a water effects ratio data set by J. Diamond. The use of the BLM for determining total maximum daily loadings (TMDLs) and for regional risk assessments is discussed within a probabilistic framework. At first glance, it appears that a large amount of data are required for a successful application. However, the use of lognormal probability distributions reduces the required data to a manageable amount.

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Year:  2001        PMID: 11596774

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


  79 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.  Metal biosorption in lignocellulosic biofuel biorefinery effluent: an initial step towards sustainability of water resources.

Authors:  Amanda J Palumbo; Sean C Taylor; Sarah L Addison; Alison H Slade; Chris N Glover
Journal:  J Ind Microbiol Biotechnol       Date:  2012-04-26       Impact factor: 3.346

3.  Managing the use of copper-based antifouling paints.

Authors:  Mridula Srinivasan; Geoffrey W Swain
Journal:  Environ Manage       Date:  2007-01-24       Impact factor: 3.266

4.  Heavy metal contents in water, sediment and fish in a karst aquatic ecosystem of the Plitvice Lakes National Park (Croatia).

Authors:  Petra Vukosav; Marina Mlakar; Neven Cukrov; Zeljko Kwokal; Ivanka Pižeta; Natalija Pavlus; Ivanka Spoljarić; Maja Vurnek; Andrijana Brozinčević; Dario Omanović
Journal:  Environ Sci Pollut Res Int       Date:  2013-11-28       Impact factor: 4.223

5.  The effect of lead from sediment bioturbation by Lumbriculus variegatus on Daphnia magna in the water column.

Authors:  Emmanuel R Blankson; Paul L Klerks
Journal:  Ecotoxicology       Date:  2016-09-22       Impact factor: 2.823

6.  Dynamic bioavailability of copper in soil estimated by uptake and elimination kinetics in the springtail Folsomia candida.

Authors:  Masoud M Ardestani; Cornelis A M van Gestel
Journal:  Ecotoxicology       Date:  2012-12-11       Impact factor: 2.823

7.  A novel fractionation approach for water constituents - distribution of storm event metals.

Authors:  Erica R McKenzie; Thomas M Young
Journal:  Environ Sci Process Impacts       Date:  2013-05       Impact factor: 4.238

8.  Dissolved and total copper in a coal ash effluent and receiving stream: assessment of in situ biological effects.

Authors:  Robin J Reash
Journal:  Environ Monit Assess       Date:  2004 Aug-Sep       Impact factor: 2.513

9.  Dynamic silver speciation as studied with fluorous-phase ion-selective electrodes: Effect of natural organic matter on the toxicity and speciation of silver.

Authors:  Maral P S Mousavi; Ian L Gunsolus; Carlos E Pérez De Jesús; Mitchell Lancaster; Kadir Hussein; Christy L Haynes; Philippe Bühlmann
Journal:  Sci Total Environ       Date:  2015-08-15       Impact factor: 7.963

10.  Cell membrane surface potential (psi0) plays a dominant role in the phytotoxicity of copper and arsenate.

Authors:  Peng Wang; Dongmei Zhou; Thomas B Kinraide; Xiaosan Luo; Lianzhen Li; Dandan Li; Hailin Zhang
Journal:  Plant Physiol       Date:  2008-10-01       Impact factor: 8.340

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