A Model for Calculating Electrostatic Interactions between Colloidal Particles of Arbitrary Surface Topology

Sun, Ning; Walz, John Y.

doi:10.1006/jcis.2000.7248

Cited by 45 publications

(34 citation statements)

References 29 publications

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“…Distances out of this scope will probably result in disagreement due to hydration forces [166]; (2) multivalent electrolytes with high concentration may result in the failure of DLVO. This is possibly caused by the reduction of electrostatic force and the prevalence of dispersion forces [167,168]; and (3) there are other short range non-DLVO interactions [169,170].…”

Section: Dlvomentioning

confidence: 99%

Heteroaggregation of nanoparticles with biocolloids and geocolloids

Wang

Adeleye

Huang

et al. 2015

Advances in Colloid and Interface Science

163

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The application of nanoparticles has raised concern over the safety of these materials to human health and the ecosystem. After release into an aquatic environment, nanoparticles are likely to experience heteroaggregation with biocolloids, geocolloids, natural organic matter (NOM) and other types of nanoparticles. Heteroaggregation is of vital importance for determining the fate and transport of nanoparticles in aqueous phase and sediments. In this article, we review the typical cases of heteroaggregation between nanoparticles and biocolloids and/or geocolloids, mechanisms, modeling, and important indicators used to determine heteroaggregation in aqueous phase. The major mechanisms of heteroaggregation include electric force, bridging, hydrogen bonding, and chemical bonding. The modeling of heteroaggregation typically considers DLVO, X-DLVO, and fractal dimension. The major indicators for studying heteroaggregation of nanoparticles include surface charge measurements, size measurements, observation of morphology of particles and aggregates, and heteroaggregation rate determination. In the end, we summarize the research challenges and perspective for the heteroaggregation of nanoparticles, such as the determination of α hetero values and heteroaggregation rates; more accurate analytical methods instead of DLS for heteroaggregation measurements; sensitive analytical techniques to measure low concentrations of nanoparticles in heteroaggregation systems; appropriate characterization of NOM at the molecular level to understand the structures and fractionation of NOM; effects of different types, concentrations, and fractions of NOM on the heteroaggregation of nanoparticles; the quantitative adsorption and desorption of NOM onto the surface of nanoparticles and heteroaggregates; and a better understanding of the fundamental mechanisms and modeling of heteroaggregation in natural water which is a complex system containing NOM, nanoparticles, biocolloids and geocolloids.

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Section: Dlvomentioning

confidence: 99%

Heteroaggregation of nanoparticles with biocolloids and geocolloids

Wang

Adeleye

Huang

et al. 2015

Advances in Colloid and Interface Science

163

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“…of hydrophobic or van der Waals origin) to come into play which will ultimately trigger nucleation. Recent experiments point to a non-monotonic variation of B 2 with increasing ionic strength [21,22], or to a pronounced shoulder in the B 2 versus ionic strength curve [23] in lysozyme solutions. Closely related findings are the observation of a non-monotonic cloud point [24][25][26], and of a minimum in the solubility of lysozyme with increasing salt concentration [27]; the solubility is obviously related to the osmotic virial coefficient [28].…”

Section: Introductionmentioning

confidence: 99%

“…In these models, which assume central pair-wise interactions, B 2 reduces to a simple integral of the Mayer function associated with the spherically symmetric potential [34,35]. More recent calculations account for the asymmetric shape of proteins [22,36], or include several "sticky" sites at the surface of the protein [37,38].…”

Section: Introductionmentioning

confidence: 99%

Nonmonotonic variation with salt concentration of the second virial coefficient in protein solutions

et al. 2003

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The osmotic virial coefficient B 2 of globular protein solutions is calculated as a function of added salt concentration at fixed pH by computer simulations of the "primitive model". The salt and counter-ions as well as a discrete charge pattern on the protein surface are explicitly incorporated. For parameters roughly corresponding to lysozyme, we find that B 2 first decreases with added salt concentration up to a threshold concentration, then increases to a maximum, and then decreases again upon further raising the ionic strength.Our studies demonstrate that the existence of a discrete charge pattern on the protein surface profoundly influences the effective interactions and that nonlinear Poisson Boltzmann and Derjaguin-Landau-Verwey-Overbeek (DLVO) theory fail for large ionic strength. The observed non-monotonicity of B 2 is compared to experiments. Implications for protein crystallization are discussed.

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“…The effect of dispersion forces was solved by Hamaker (5), Bradly (6), and de Boer (7), while electrostatic repulsion could be evaluated on the basis of the Derjaguin, Landau, Vervey, Overbeek (DLVO) theory (1,8). Recently, more sophisticated models were elaborated (9)(10)(11)(12)(13)(14). In most of the cases the theory of Colloid Stability explains the experimental data, especially if the correct values of the electrostatic surface potentials, as obtained from the Surface Complexation model (15)(16)(17)(18)(19), are used (20)(21)(22).…”

Section: Introductionmentioning

confidence: 99%