Interpretation of metal speciation data in coastal waters: the effects of humic substances on copper binding as a test case

2001 ◽  
Vol 74 (4) ◽  
pp. 303-318 ◽  
Author(s):  
Bettina M Voelker ◽  
Megan B Kogut
Author(s):  
Elena V. Cherkasova ◽  
Artem A. Konyshev ◽  
Evgeniya A. Soldatova ◽  
Evgeniya S. Sidkina ◽  
Mikhail V. Mironenko

2019 ◽  
Vol 692 ◽  
pp. 701-712 ◽  
Author(s):  
Camille Gaulier ◽  
Chunyang Zhou ◽  
Wei Guo ◽  
Arne Bratkic ◽  
Pierre-Jean Superville ◽  
...  

2004 ◽  
Vol 57 (10) ◽  
pp. 983 ◽  
Author(s):  
Raewyn M. Town ◽  
Herman P. van Leeuwen

Stripping chronopotentiometry at scanned deposition potential (SSCP) allows chemical heterogeneity in metal speciation to be unambiguously identified. In the labile regime, use of the Freundlich binding isotherm allows straightforward determination of parameters to describe the apparent stability and heterogeneity of metal complexes with humic substances. The extent of heterogeneity of metal binding by several humic substances follows the order Cu(ii) >> Pb(ii) > Cd(ii). The lability of metal complexes decreases from the foot to the top of the wave, and the greater the degree of heterogeneity, the more readily lability is lost. In the kinetic current regime, the Koutecký–Koryta approximation allows an expression to be obtained for the SSCP wave that provides a good estimate of the experimental data for metal complexes with moderate degrees of heterogeneity.


1988 ◽  
Vol 39 (1) ◽  
pp. 19 ◽  
Author(s):  
GB Jones ◽  
FG Thomas

Studies carried out over several years on a tropical estuary, the Ross River Estuary, have shown that copper speciation is influenced by both terrestrial and marine humic substances. While terrestrial humic substances are mobilized by high freshwater runoff in the monsoonal season, Trichodesmium blooms mobilize high concentrations of marine humics to the inshore zone and increase labile forms of copper. The marine humics are more soluble than the terrestrial humics and persist in coastal waters of the Great Barrier Reef lagoon for many months prior to the wet season.


2016 ◽  
Vol 13 (3) ◽  
pp. 464 ◽  
Author(s):  
Edward Tipping ◽  
Stephen Lofts ◽  
Anthony Stockdale

Environmental contextThe chemical speciation of metals strongly influences their transport, fate and bioavailability in natural waters. Analytical measurement and modelling both play important roles in understanding speciation, while modelling is also needed for prediction. Here, we analyse a large set of data for fresh waters, estuarine and coastal waters, and open ocean water, to examine how well measurements and modelling predictions agree. AbstractWe compiled a data set of ~2000 published metal speciation measurements made on samples of fresh waters, estuarine and coastal waters, and open ocean waters. For each sample, we applied the chemical speciation model WHAM7 to calculate the equilibrium free metal ion concentrations, [M] (molL–1), amounts of metal bound by dissolved organic matter (DOM), ν (molg–1), and their ratio ν/[M] (L g–1), which is a kind of ‘local’ partition coefficient. Comparison of the measured and predicted speciation variables for the whole data set showed that agreements are best for fresh waters, followed by estuarine and coastal waters, then open-ocean waters. Predicted values of ν/[M], averaged over all results for each metal, closely follow the trend in average measured values, confirming that metal reactivity, and consequent complexation by DOM, in natural waters accord with the expectations of the speciation model. Comparison of model predictions with measurements by different analytical techniques suggests that competitive ligand–stripping voltammetry methods overestimate metal complexation by DOM, and therefore underestimate [M]. When measurements by other methods are compared with predictions, for all metals, reasonable agreement with little bias is obtained at values of ν>10–6molg–1 DOM, but at lower values of ν, the model predictions of [M] are mostly higher than the measured values, and the predictions of ν and ν/[M] are mostly lower. Research is needed to establish whether this reflects analytical error or the failure of the model to represent natural high-affinity ligands.


2001 ◽  
Vol 35 (6) ◽  
pp. 1149-1156 ◽  
Author(s):  
Megan B. Kogut ◽  
Bettina M. Voelker

2002 ◽  
Vol 66 (18) ◽  
pp. 3211-3224 ◽  
Author(s):  
Edward Tipping ◽  
Carlos Rey-Castro ◽  
Stephen E Bryan ◽  
John Hamilton-Taylor

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