Cu2+ and Ca2+adsorption to goethite in the presence of fulvic acids

Weng, Liping; Riemsdijk, W.H. van; Hiemstra, Tjisse

doi:10.1016/j.gca.2008.09.015

Cited by 100 publications

(81 citation statements)

References 50 publications

(116 reference statements)

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“…From this pH onwards ≡(FeOH) 2 Cu(OH) is the dominant species, although the other two hydroxylated forms also become important (Figure 9). This distribution of surface species is in agreement with that found by Weng et al (2008). Modelling simulations on goethite showed that the monomer bidentate inner-sphere species is important at low pH, whereas the hydrolysed monomer bidentate species dominates at higher pH.…”

Section: Copper Modellingsupporting

confidence: 90%

“…In the next step, the surface complexes postulated by Weng et al (2008) for describing Cu adsorption on goethite were used (Figure 9). Four bidentate inner-sphere complexes were considered between copper and the singly coordinated surface sites of the goethite, allowing for hydrolysis and dimer formation in copper surface species.…”

Section: Copper Modellingmentioning

confidence: 99%

“…The fitted value of log K for the ≡(FeOH) 2 Cu(OH) complex was 2.55 instead of 3.60. Although adsorption on sample F-OR was slightly overestimated throughout the entire pH range, irrespectively of whether the complexation constants were those proposed by Weng et al (2008) or the fitted constants that described the adsorption on T-PO, no further fitting was done. As stated above, the idea of this modelling exercise was to simulate the adsorption on the iron precipitates using model parameters derived for synthetic analogues.…”

Section: Copper Modellingmentioning

confidence: 99%

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Surface Complexation Modelling of Arsenic and Copper Immobilization by Iron Oxide Precipitates Derived from Acid Mine Drainage

Otero-Fariña¹,

Gago²,

Antelo³

et al. 2015

BSGM

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Acid mine drainage (AMD) constitutes a serious environmental problem in mining areas due to the acidification of soils and aquatic systems, and the release of toxic metals. Many of the pollutants that occur in AMD display a high affinity for the surfaces of the aluminium and iron oxides that are typically present in systems affected by AMD. This binding affinity reduces the mobility of trace metals and metalloids, such as copper and arsenic, thus helping to mitigate contamination of aquatic systems. In the present study, water samples and iron-rich bed sediments were collected in areas affected by copper mining activities. A loose ochre-coloured precipitate occurring on the banks of a river close to an abandoned tungsten and tin mine was also sampled. The composition of the precipitate was established, and adsorption experiments were performed with copper and arsenate ions to determine the ability of natural iron precipitates to reduce the concentration of these ions in solution. Surface complexation models provided a good description of the behaviour of natural iron oxides in terms of copper and arsenate retention. Use of this type of model enables prediction of the distribution of pollutants between the solid and solution phases and analysis of their mobility in relation to environmental conditions (pH, ionic strength, presence of competing species, etc.).Keywords: Acid mine drainage, iron oxides, adsorption, trace elements, arsenic, surface complexation model. (pH, fuerza iónica, presencia de especies que compitan, etc.). Resumen El drenaje ácido de mina (AMD) constituye un importante problema ambiental debido a la acidificación y la liberación de metales tóxicos que produce en el suelo y en los sistemas acuáticos próximos a las zonas mineras. Existe una elevada afinidad de muchos de

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Section: Copper Modellingsupporting

confidence: 90%

Section: Copper Modellingmentioning

confidence: 99%

Section: Copper Modellingmentioning

confidence: 99%

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Surface Complexation Modelling of Arsenic and Copper Immobilization by Iron Oxide Precipitates Derived from Acid Mine Drainage

Otero-Fariña¹,

Gago²,

Antelo³

et al. 2015

BSGM

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“…15,26 We assumed that the Cu-ISE would not respond to organically bound Cu(II), since complexes of Cu have been shown to be electrochemically inert. 27,28 Two freshwater sites were chosen: one with relatively high concentrations of organic matter (OM), a local industrial wastewater canal; and the other with less OM, the Hun River. The river water and the industrial wastewater were collected on July 31, 2007 and on Sep. 25, 2007, respectively.…”

Section: The Speciation Measurements Of Cumentioning

confidence: 99%

Measurement of Free Copper(II) ions in Water Samples with Polyvinyl alcohol as a Binding Phase in Diffusive gradients in Thin-films

et al. 2009

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A technique for the selective measurement of diffusive gradients in thin-films (DGT) for free Cu 2+ ions was developed using a 0.030 M solution of polyvinyl alcohol (PVA) as the liquid binding phase with the liquid-type DGT devices (PVA DGT). The PVA DGT had a substantial binding capacity at pH 5.6 -8.6 and concentrations of competitive Na + up to 0.7 M. The measurements of PVA DGT and cupric ion selective electrode (Cu-ISE) for free Cu 2+ in synthetic river water (recovery = 97.51 ± 2.58% for PVA DGT and recovery = 98.25 ± 1.46% for Cu-ISE), in spiked river water (recovery = 24.99 ± 3.55% for PVA DGT and recovery = 26.32 ± 3.33% for Cu-ISE) and in spiked industrial wastewater (recovery = 4.21 ± 3.13% for PVA DGT and recovery = 5.10 ± 2.78% for Cu-ISE) were equivalent. The results showed that PVA DGT could measure selectively the free Cu 2+ ion concentrations in water samples.

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“…For the mixtures of minerals and organic systems, the extended constant capacitance model was used to depict Cd 2+ adsorption onto goethite, kaolinite, and Muloorina illite in the presence of citric acid (Lackovic et al, 2004a, b). The linear additivity model has succeeded in predicting Cu 2+ adsorption but has failed to simulate Ca 2+ adsorption on goethite in the presence of fulvic acid (Weng et al, 2008). The adsorption of Cd 2+ onto Comamonas spp.-ferrihydrite composite could be accurately predicted by the addition of the reaction between end-member ferrihydrite and bacteria (Song et al, 2009).…”

Section: Introductionmentioning

confidence: 99%

Surface complexation modeling of Cd(II) sorption to montmorillonite, bacteria, and their composite

Wang

Huang

et al. 2016

Biogeosciences

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Abstract. Surface complexation modeling (SCM) has emerged as a powerful tool for simulating heavy metal adsorption processes on the surface of soil solid components under different geochemical conditions. The component additivity (CA) approach is one of the strategies that have been widely used in multicomponent systems. In this study, potentiometric titration, isothermal adsorption, zeta potential measurement, and extended X-ray absorption fine-structure (EXAFS) spectra analysis were conducted to investigate Cd adsorption on 2 : 1 clay mineral montmorillonite, on Grampositive bacteria Bacillus subtilis, and their mineral-organic composite. We developed constant capacitance models of Cd adsorption on montmorillonite, bacterial cells, and mineralorganic composite. The adsorption behavior of Cd on the surface of the composite was well explained by CA-SCM. Some deviations were observed from the model simulations at pH < 5, where the values predicted by the model were lower than the experimental results. The Cd complexes of X 2 Cd, SOCd + , R-COOCd + , and R-POCd + were the predominant species on the composite surface over the pH range of 3 to 8. The distribution ratio of the adsorbed Cd between montmorillonite and bacterial fractions in the composite as predicted by CA-SCM closely coincided with the estimated value of EXAFS at pH 6. The model could be useful for the prediction of heavy metal distribution at the interface of multicomponents and their risk evaluation in soils and associated environments.

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Cu2+ and Ca2+adsorption to goethite in the presence of fulvic acids

Cited by 100 publications

References 50 publications

Surface Complexation Modelling of Arsenic and Copper Immobilization by Iron Oxide Precipitates Derived from Acid Mine Drainage

Surface Complexation Modelling of Arsenic and Copper Immobilization by Iron Oxide Precipitates Derived from Acid Mine Drainage

Measurement of Free Copper(II) ions in Water Samples with Polyvinyl alcohol as a Binding Phase in Diffusive gradients in Thin-films

Surface complexation modeling of Cd(II) sorption to montmorillonite, bacteria, and their composite

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