scholarly journals Evaluation Of The Biotic Ligand Model For Predicting Metal Bioavailability and Toxicity In SRS Effluents And Surface Waters

2005 ◽  
Author(s):  
WINONA SPECHT
Keyword(s):  
Surface Waters ◽  
Biotic Ligand Model ◽  
Metal Bioavailability ◽  
Biotic Ligand ◽  
Ligand Model

Metal bioavailability to phytoplankton—applicability of the biotic ligand model

2002 ◽  
Vol 133 (1-2) ◽  
pp. 189-206 ◽  
Author(s):  
Peter G.C Campbell ◽  
Olivier Errécalde ◽  
Claude Fortin ◽  
Véronique P Hiriart-Baer ◽  
Bernard Vigneault
Keyword(s):  
Biotic Ligand Model ◽  
Metal Bioavailability ◽  
Biotic Ligand ◽  
Ligand Model

scholarly journals When are metal complexes bioavailable?

2016 ◽  
Vol 13 (3) ◽  
pp. 425 ◽  
Author(s):  
Chun-Mei Zhao ◽  
Peter G.C. Campbell ◽  
Kevin J. Wilkinson
Keyword(s):  
Metal Complexes ◽  
Biotic Ligand Model ◽  
Metal Bioavailability ◽  
Biotic Ligand ◽  
Free Ion ◽  
Ion Activity ◽  
Classical Models ◽  
Kinetic Processes ◽  
Free Metal ◽  
Ligand Model

Environmental contextThe concentration of a free metal cation has proved to be a useful predictor of metal bioaccumulation and toxicity, as represented by the free ion activity and biotic ligand models. However, under certain circumstances, metal complexes have been shown to contribute to metal bioavailability. In the current mini-review, we summarise the studies where the classic models fail and organise them into categories based on the different uptake pathways and kinetic processes. Our goal is to define the limits within which currently used models such as the biotic ligand model (BLM) can be applied with confidence, and to identify how these models might be expanded. AbstractNumerous data from studies over the past 30 years have shown that metal uptake and toxicity are often best predicted by the concentrations of free metal cations, which has led to the development of the largely successful free-ion activity model (FIAM) and biotic ligand model (BLM). Nonetheless, some exceptions to these classical models, showing enhanced metal bioavailability in the presence of metal complexes, have also been documented, although it is not yet fully understood to what extent these exceptions can or should be generalised. Only a few studies have specifically measured the bioaccumulation or toxicity of metal complexes while carefully measuring or controlling metal speciation. Fewer still have verified the fundamental assumptions of the classical models, especially when dealing with metal complexes. In the current paper, we have summarised the exceptions to classical models and categorised them into five groups based on the fundamental uptake pathways and kinetic processes. Our aim is to summarise the mechanisms involved in the interaction of metal complexes with organisms and to improve the predictive capability of the classic models when dealing with complexes.

Application of the biotic ligand model to predict copper acute toxicity to Medaka fish in typical Chinese rivers

2011 ◽  
Vol 64 (6) ◽  
pp. 1277-1283 ◽  
Author(s):  
Chunyan Wang ◽  
Hao Chen ◽  
Kuen Benjamin Wu ◽  
Lihui An ◽  
Binghui Zheng
Keyword(s):  
Acute Toxicity ◽  
Surface Waters ◽  
Water Samples ◽  
Biotic Ligand Model ◽  
Tidal River ◽  
The Other ◽  
Medaka Fish ◽  
Cu Toxicity ◽  
Biotic Ligand ◽  
Ligand Model

LA50, the Lethal Accumulation of Cu on the Medaka fish (Oryzias latipes) gills that results in 50% mortality during a toxicological exposure (96 hours) in synthetic water was assessed by use of the biotic ligand model (BLM). The LA50 was employed to predict the 96 h Cu toxicity (LC50) to this fish in different natural surface waters in China. The LC50 values were predicted with errors of no more than 1.55 for the river water except for two water samples, one of which was from a tidal river and the other of which was from a river that was subject to joint metal pollution and possibly affected by other pollutants.

Evaluation of the Biotic Ligand Model relative to other site-specific criteria derivation methods for copper in surface waters with elevated hardness

2007 ◽  
Vol 84 (2) ◽  
pp. 279-291 ◽  
Author(s):  
Eric Van Genderen ◽  
Robert Gensemer ◽  
Carrie Smith ◽  
Robert Santore ◽  
Adam Ryan
Keyword(s):  
Surface Waters ◽  
Biotic Ligand Model ◽  
Site Specific ◽  
Biotic Ligand ◽  
Ligand Model

Silver Biotic Ligand Model (BLM): Refinement of an Acute BLM for Silver

2015 ◽  
Vol 7 (0) ◽  
pp. 9781780403656-9781780403656
Author(s):  
P. Paquin ◽  
D. M. Di Toro
Keyword(s):  
Biotic Ligand Model ◽  
Biotic Ligand ◽  
Ligand Model

Regulatory Implementation of the Copper Biotic Ligand Model for Aquatic Life Protection: What Have We Learned and How Are We Doing?

2016 ◽  
Vol 2016 (10) ◽  
pp. 1877-1894 ◽  
Author(s):  
R.W Gensemer ◽  
John Gondek ◽  
Steven P Canton ◽  
Amanda Kovach ◽  
Carrie A Claytor
Keyword(s):  
Biotic Ligand Model ◽  
Aquatic Life ◽  
Biotic Ligand ◽  
Ligand Model

IMPLEMENTATION OF THE BIOTIC LIGAND MODEL IN SITE-SPECIFIC STANDARDS SETTING

2015 ◽  
Vol 2015 (5) ◽  
pp. 3489-3505
Author(s):  
Robert Martin ◽  
Carrie Claytor ◽  
Chris Bieker
Keyword(s):  
Biotic Ligand Model ◽  
Site Specific ◽  
Biotic Ligand ◽  
Ligand Model

Evaluating the Freshwater Copper Biotic Ligand Model for NPDES Wastewater Permitting

2017 ◽  
Vol 2017 (12) ◽  
pp. 2117-2127
Author(s):  
Ariel M Mosbrucker ◽  
Jeffrey A Nason ◽  
Kenneth J Williamson ◽  
Bob Baumgartner
Keyword(s):  
Biotic Ligand Model ◽  
Biotic Ligand ◽  
Ligand Model
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