On the Applicability of DLVO Theory to the Prediction of Clay Colloids Stability

Missana, Tiziana; Adell, Andrés

doi:10.1006/jcis.2000.7003

Cited by 324 publications

(163 citation statements)

References 19 publications

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“…Zhao et al (1989) investigated the adsorption rates and capacities of PEG onto several montmorillonite clays and observed that there was a little difference in adsorbed amounts of PEG between pH 5 and 12 for montmorillonite. For silicate clays, such as montmorillonite, the permanent negative surface charge is mainly due to isomorphous substitution and is independent of pH (Missana and Adell 2000;Zhou et al 2012). In a separate study, we did not find any significant differences between the magnitude of clay swelling through visual observations at pH 7-10.…”

Section: Effect Of Surface Modificationmentioning

confidence: 52%

Interaction of surface-modified silica nanoparticles with clay minerals

2016

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In this study, the adsorption of 5-nm silica nanoparticles onto montmorillonite and illite is investigated. The effect of surface functionalization was evaluated for four different surfaces: unmodified, surfacemodified with anionic (sulfonate), cationic (quaternary ammonium (quat)), and nonionic (polyethylene glycol (PEG)) surfactant. We employed ultraviolet-visible spectroscopy to determine the concentration of adsorbed nanoparticles in conditions that are likely to be found in subsurface reservoir environments. PEG-coated and quat/ PEG-coated silica nanoparticles were found to significantly adsorb onto the clay surfaces, and the effects of electrolyte type (NaCl, KCl) and concentration, nanoparticle concentration, pH, temperature, and clay type on PEG-coated nanoparticle adsorption were studied. The type and concentration of electrolytes were found to influence the degree of adsorption, suggesting a relationship between the interlayer spacing of the clay and the adsorption ability of the nanoparticles. Under the experimental conditions reported in this paper, the isotherms for nanoparticle adsorption onto montmorillonite at 25°C indicate that adsorption occurs less readily as the nanoparticle concentration increases.

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Section: Effect Of Surface Modificationmentioning

confidence: 52%

Interaction of surface-modified silica nanoparticles with clay minerals

2016

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“…Because ether diamine is a strong collector in iron ore flotation, its capability to induce such aggregation is also stronger than ether monoamine [7], which is responsible for the poor flotation in the presence of ether diamine. The aggregation of kaolinite particles is related to their layered structure [22,23]. When sodium and potassium cations are present in the flotation pulp, these cations cause aggregation of kaolinite particles by reducing the zeta potential of kaolinite particles, as shown in Figure 1.…”

Section: Recovery (%)mentioning

confidence: 99%

Role of Water Structure-Making/Breaking Ions in the Cationic Flotation of Kaolinite: Implications for Iron Ore Processing

Ma¹,

Bruckard²

2012

MINING

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Australia is the largest exporter of iron ore in the world. The high Al content in Australian hematite/goethite ores is detrimental to blast furnace and sinter plant operations. Of the Al containing minerals in iron ore, kaolinite is a common gangue mineral frequently found in iron ore deposits. In iron ore flotation pulp, various ions exist and may interfere with the flotation performance when their concentration is high enough. In this work, the role of a water structure-making ion, i.e. Na + , and a water structure-breaking ion, i.e. K + , in the flotation of kaolinite under reverse cationic flotation conditions, the most widely used flotation route of iron ore in the world, was studied in a series of laboratory batch flotation tests. It was found that K + , a water structure breaker, can better reduce the zeta potential of kaolinite and thus causes higher flotation recovery of the clay mineral, in comparison to Na + , a water structure maker. The different effects of the alkali metal cations on kaolinite flotation are attributed to the different aggregation degree of kaolinite particles in the presence of these cations.

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“…While the limitations of the theory are well known, [3][4][5] the theory has nevertheless provided insight across a vast range of fields, including agriculture and food science, [6][7][8] mineral and oil extraction, 9,10 and filtration 11 and biology. [12][13][14] One limitation of the theory is that it is built upon the assumption of ideally smooth surfaces.…”

Section: Introductionmentioning

confidence: 99%

Surface forces: Surface roughness in theory and experiment

Parsons

Walsh

Craig

2014

The Journal of Chemical Physics

119

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A method of incorporating surface roughness into theoretical calculations of surface forces is presented. The model contains two chief elements. First, surface roughness is represented as a probability distribution of surface heights around an average surface height. A roughness-averaged force is determined by taking an average of the classic flat-surface force, weighing all possible separation distances against the probability distributions of surface heights. Second the model adds a repulsive contact force due to the elastic contact of asperities. We derive a simple analytic expression for the contact force. The general impact of roughness is to amplify the long range behaviour of noncontact (DLVO) forces. The impact of the elastic contact force is to provide a repulsive wall which is felt at a separation between surfaces that scales with the root-mean-square (RMS) roughness of the surfaces. The model therefore provides a means of distinguishing between "true zero," where the separation between the average centres of each surface is zero, and "apparent zero," defined by the onset of the repulsive contact wall. A normal distribution may be assumed for the surface probability distribution, characterised by the RMS roughness measured by atomic force microscopy (AFM). Alternatively the probability distribution may be defined by the histogram of heights measured by AFM. Both methods of treating surface roughness are compared against the classic smooth surface calculation and experimental AFM measurement.

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On the Applicability of DLVO Theory to the Prediction of Clay Colloids Stability

Cited by 324 publications

References 19 publications

Interaction of surface-modified silica nanoparticles with clay minerals

Interaction of surface-modified silica nanoparticles with clay minerals

Role of Water Structure-Making/Breaking Ions in the Cationic Flotation of Kaolinite: Implications for Iron Ore Processing

Surface forces: Surface roughness in theory and experiment

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