Literature DB >> 12356515

Comparison of measured and modelled copper binding by natural organic matter in freshwaters.

S E Bryan1, E Tipping, J Hamilton-Taylor.   

Abstract

Fifteen freshwater samples containing significant concentrations of dissolved organic carbon-[DOC]-were titrated with copper under standardised conditions (pH 6 and 7), and concentrations of Cu(2+)-[Cu(2+)]-were measured with an ion-selective electrode. Measured values of [Cu(2+)], which were in the range 10(-11)-10(-5) moll(-1), were compared with those simulated using Humic Ion-Binding Models V and VI. It was assumed that copper speciation was controlled by the organic matter, represented by fulvic acid (FA), together with inorganic solution complexation (calculated with an inorganic speciation model). The models were calibrated by adjusting a single quantity, the concentration of FA. The optimised value-[FA](opt)-was that giving the best agreement, according to least squares, between measured and simulated [Cu(2+)]. The calculations took into account competition by other dissolved (filterable) metals (Mg, Al, Ca, Fe(II), Fe(III), Zn); in the case of Fe(III) it was assumed either that all the dissolved metal was truly in solution, or that the activity of Fe(3+) was controlled by equilibrium with Fe(OH)(3). The assumption about Fe(III) had relatively small effects on the fitting of Model V, but was significant for Model VI, because Model VI represents low-abundance, high-affinity binding sites in humic matter, which are sensitive to Fe(III) competition. Because of its inclusion of the high-affinity sites, Model VI provided better fits of the data than did Model V. Furthermore, Model VI with Fe(3+) activity controlled by Fe(OH)(3) gave smaller variation in the ratio of [FA](opt) to [DOC] than Model VI with all Fe(III) assumed to be in solution. The average [FA](opt)/[DOC] found from the Cu titrations was 1.30, which implies that 65% of the organic matter is 'active' with respect to metal binding. The average ratio of 1.30 is in reasonable agreement with ratios obtained by applying the model to field data sets for charge balance (1.22), Al speciation (1.56) and base titrations of Cu-amended waters (1.45). It is concluded that Model VI/Fe(OH)(3) provides the most reliable predictions of dissolved metal speciation in natural waters; at a total Cu concentration of 1 microM, the predicted concentration of Cu(2+) is expected to be correct to within a factor of 3.6 in 95% of cases.

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Year:  2002        PMID: 12356515     DOI: 10.1016/s1532-0456(02)00083-2

Source DB:  PubMed          Journal:  Comp Biochem Physiol C Toxicol Pharmacol        ISSN: 1532-0456            Impact factor:   3.228


  7 in total

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Journal:  Anal Bioanal Chem       Date:  2020-10-29       Impact factor: 4.142

2.  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

3.  Predicting copper phytotoxicity based on pore-water pCu.

Authors:  Mohammed Kader; Dane T Lamb; Liang Wang; Mallavarapu Megharaj; Ravi Naidu
Journal:  Ecotoxicology       Date:  2016-01-06       Impact factor: 2.823

4.  Dissolved organic matter distribution and its association with colloidal aluminum and iron in the Selenga River Basin from Ulaanbaatar to Lake Baikal.

Authors:  Morimaru Kida; Orgilbold Myangan; Bolormaa Oyuntsetseg; Viacheslav Khakhinov; Masayuki Kawahigashi; Nobuhide Fujitake
Journal:  Environ Sci Pollut Res Int       Date:  2018-02-15       Impact factor: 4.223

5.  Measured Copper Toxicity to Cnesterodon decemmaculatus (Pisces: Poeciliidae) and Predicted by Biotic Ligand Model in Pilcomayo River Water: A Step for a Cross-Fish-Species Extrapolation.

Authors:  María Victoria Casares; Laura I de Cabo; Rafael S Seoane; Oscar E Natale; Milagros Castro Ríos; Cristian Weigandt; Alicia F de Iorio
Journal:  J Toxicol       Date:  2012-03-05

Review 6.  The Fate of Copper Added to Surface Water: Field, Laboratory, and Modeling Studies.

Authors:  Kevin J Rader; Richard F Carbonaro; Eric D van Hullebusch; Stijn Baken; Katrien Delbeke
Journal:  Environ Toxicol Chem       Date:  2019-06-24       Impact factor: 3.742

7.  Diminished metal accumulation in riverine fishes exposed to acid mine drainage over five decades.

Authors:  Ross A Jeffree; Scott J Markich; John R Twining
Journal:  PLoS One       Date:  2014-03-24       Impact factor: 3.240

  7 in total

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