Prediction of surface charge on oxides in salt solutions: Revisions for 1:1 (M+L−) electrolytes

Sverjensky, Dimitri A.

doi:10.1016/j.gca.2004.05.040

Cited by 264 publications

(266 citation statements)

References 102 publications

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“…For most of the oxide minerals, surface adsorption is mainly controlled by one hydroxylated metal cation, MeOH > surface site, resulting from the hydrolysis of adsorbed water molecules [11,57]. Calcite surface functional groups of the dominating crystallographic plane (calcite (1 0 4) surface) behave differently than those of oxides, because they are assumed to be controlled by two different types of sites resulting from the hydrolysis of surface water molecules: a hydroxylated calcium cation, >CaOH, and a protonated carbonate anion, >CO 3 H surface site [8,11].…”

Section: Calcite Surface Complexation Modelmentioning

confidence: 99%

Influence of surface conductivity on the apparent zeta potential of calcite

Leroy

Heberling

et al. 2016

Journal of Colloid and Interface Science

114

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Zeta potential is a physicochemical parameter of particular importance in describing the surface electrical properties of charged porous media. However, the zeta potential of calcite is still poorly known because of the difficulty to interpret streaming potential experiments. The HelmholtzSmoluchowski (HS) equation is widely used to estimate the apparent zeta potential from these experiments. However, this equation neglects the influence of surface conductivity on streaming potential. We present streaming potential and electrical conductivity measurements on a calcite powder in contact with an aqueous NaCl electrolyte. Our streaming potential model corrects the apparent zeta potential of calcite by accounting for the influence of surface conductivity and flow regime. We show that the HS equation seriously underestimates the zeta potential of calcite, particularly when the electrolyte is diluted (ionic strength ≤0.01 M) because of calcite surface conductivity. The basic Stern model successfully predicted the corrected zeta potential by assuming that the zeta potential is located at the outer Helmholtz plane, i.e. without considering a stagnant diffuse layer at the calcite-water interface. The surface conductivity of calcite crystals was inferred from electrical conductivity measurements and computed using our basic Stern model. Surface conductivity was also successfully predicted by our surface complexation model.

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Section: Calcite Surface Complexation Modelmentioning

confidence: 99%

Influence of surface conductivity on the apparent zeta potential of calcite

Leroy

Heberling

et al. 2016

Journal of Colloid and Interface Science

114

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“…Nevertheless, the knowledge of the surface adsorption properties of the ions can help to get information about tangential ionic mobility. Ions adsorbed as inner-sphere surface complexes lose part of their hydration shell and can be adsorbed at the close proximity of the mineral surface (Sverjensky 2005;Hiemstra & Van Riemsdijk 2006). The tangential mobility of these ions can hence be considerably smaller in the Stern layer than in bulk water.…”

Section: The New Surface Conductivity Modelmentioning

confidence: 99%

“…The tangential mobility of these ions can hence be considerably smaller in the Stern layer than in bulk water. Ions adsorbed as outer-sphere surface complexes keep their hydration shell and can be adsorbed further away from the mineral surface compared to inner-sphere surface complexes (Sverjensky 2005;Hiemstra & Van Riemsdijk 2006). The tangential mobility of these ions in the Stern layer can hence be comparable to their mobility in bulk water.…”

Section: The New Surface Conductivity Modelmentioning

confidence: 99%

Modeling the evolution of complex conductivity during calcite precipitation on glass beads

Leroy

Li²,

Jougnot

et al. 2017

Geophys. J. Int.

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S U M M A R YWhen pH and alkalinity increase, calcite frequently precipitates and hence modifies the petrophysical properties of porous media. The complex conductivity method can be used to directly monitor calcite precipitation in porous media because it is sensitive to the evolution of the mineralogy, pore structure and its connectivity. We have developed a mechanistic grain polarization model considering the electrochemical polarization of the Stern and diffuse layers surrounding calcite particles. Our complex conductivity model depends on the surface charge density of the Stern layer and on the electrical potential at the onset of the diffuse layer, which are computed using a basic Stern model of the calcite/water interface. The complex conductivity measurements of Wu et al. on a column packed with glass beads where calcite precipitation occurs are reproduced by our surface complexation and complex conductivity models. The evolution of the size and shape of calcite particles during the calcite precipitation experiment is estimated by our complex conductivity model. At the early stage of the calcite precipitation experiment, modelled particles sizes increase and calcite particles flatten with time because calcite crystals nucleate at the surface of glass beads and grow into larger calcite grains. At the later stage of the calcite precipitation experiment, modelled sizes and cementation exponents of calcite particles decrease with time because large calcite grains aggregate over multiple glass beads and only small calcite crystals polarize.

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“…Pokrovsky et al, 1999;Sverjensky, 2004). Among the most significant minerals in the subsurface, in terms of controlling the chemical composition and evolution of surface waters, are the phyllosilicates (including clays).…”

Section: Introductionmentioning

confidence: 99%