Chapter 2. Dispersions of interacting colloidal particles

Abstract

C = (r2)/ai mean-square displacement. Computer experiments on simple liquids give" C = 0.029 _+ 0.004.

Effects of KBr and n-decanol on the properties of cetyltrimethylammonium bromide micelles in aqueous solutions: A microelectrode voltammetric study

“…Fig. 1 shows an inverse linear dependence of D on [CTABr]; this behavior is predicted by the linear interaction theory [18], i.e., the higher the surfactant concentration, the stronger the inter-micellar interactions, and the slower the aggregate diffusion. Fig.…”

“…This is usually done by measuring the above-mentioned coefficient at a number of surfactant concentrations, and applying the linear interaction theory, as shown by Eq. (1), [18]:…”

Adsolubilization of dihydroxybenzenes into CTAB layers on silica particles

“…According to the above information, we calculate the diffusion coefficient of the dihydroxybenzenes using the diffusion equation [30]:…”

Statistical study of a concentrated dispersion of deformable particles modelled as an assembly of cyclic lattice chains

“…In particular, many of the theoretical and computational techniques which were devised originally for simple atomic and molecular fluids have now been used successfully [1,2] to describe the equilibrium properties of monodisperse systems of interacting colloidal particles. For non-dilute, disordered dispersions of rigid, spherical particles, it has been shown by computer simulation that, except at very low salt concentration, the structural and thermodynamic properties can be calculated reliably by perturbation about the hardsphere fluid--the archetypal reference system of liquid-state physics [3].…”

“…It has been shown by simulation [13] that the large stringy aggregates produced by irreversible coagulation in dilute dispersions are fractal in nature, and that there exist two limiting fractal dimensions, one for rapid diffusionlimited coagulation and another for slow reaction-limited coagulation. On the other hand, the short-range structures of such simulated aggregates are non-fractal [14,15], being best described [16] by a particle-particle correlation function similar to the radial distribution function used to describe short-range structure in simple liquids and concentrated colloidal dispersions [1]. Brownian dynamics studies [15,17] of DLVO-type systems indicate that differences in short-range aggregate structure are related to the degree to which particles can flocculate in a secondary minimum prior to irreversible coagulation.…”