2016/01/29 by Shuai Li, Philippe Leroy, Frank Heberling +3 · 124 citations
Chemistry · Earth and Planetary Sciences · Engineering · Materials Science · Physics and Astronomy · #Calcite #Chemical engineering #Chemistry #Clay minerals and soil interactions #Conductivity #Electrostatics and Colloid Interactions #Engineering #Geophysical and Geoelectrical Methods #Materials science #Mineralogy #Nanoparticle #Nanotechnology #Physical chemistry #Surface conductivity #Zeta potential #cond-mat.soft #physics.geo-ph
paper · pdf · doi:10.1016/j.jcis.2016.01.075
published in Journal of Colloid and Interface Science 468, 262-275 (Elsevier BV) · 14 pages, 9 figures
openalex publication_date 2016/01/29 · arxiv created 2016/02/29 · arxiv updated 2016/03/01 · openalex created_date 2025/10/10 · openalex updated_date 2026/08/05
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 Helmholtz-Smoluchowski (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.