Analytical theories of the steric stabilization of colloidal dispersions

Smitham, James B.; Evans, Robert; Napper, Donald H.

doi:10.1039/f19757100285

Cited by 59 publications

(45 citation statements)

References 2 publications

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“…The potential needed to balance the osmotic pressure difference, and hence prevent the influx of solvent particles into the region with a reduced concentration, is effectively an additional repulsive term. This term has been studied extensively by Meier, [43] Napper and coworkers, [44] and Halperin and co-workers [45] in order to model the steric stabilization of colloidal dispersions by an adsorbed polymeric layer. Their approach, based on the Flory-Huggins theory of free energy of polymer mixing, has been further extended by Vincent et al, [46] and has been used to account for the steric repulsion between NPs covered by alkylthiol monolayers, [23] as well as in other more complex geometries.…”

Section: Ligand Interactionsmentioning

confidence: 99%

Nanoparticle Clusters: Assembly and Control Over Internal Order, Current Capabilities, and Future Potential

2016

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The current state of the art in the use of colloidal methods to form nanoparticle assemblies, or clusters (NPCs) is reviewed. The focus is on the two-step approach, which exploits the advantages of bottom-up wet chemical NP synthesis procedures, with subsequent colloidal destabilization to trigger assembly in a controlled manner. Recent successes in the application of functional NPCs with enhanced emergent collective properties for a wide range of applications, including in biomedical detection, surface enhanced Raman scattering (SERS) enhancement, photocatalysis, and light harvesting, are highlighted. The role of the NP-NP interactions in the formation of monodisperse ordered clusters is described and the different assembly processes from a wide range of literature sources are classified according to the nature of the perturbation from the initial equilibrium state (dispersed NPs). Finally, the future for the field and the anticipated role of computational approaches in developing next-generation functional NPCs are briefly discussed.

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Section: Ligand Interactionsmentioning

confidence: 99%

Nanoparticle Clusters: Assembly and Control Over Internal Order, Current Capabilities, and Future Potential

2016

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“…Shown in figure 1 is a comparison for F = 0.01 of Sf for four distribution functions: the exponential, the constant, the Gaussian and the radial Gaussian functions. The constant density function = 1/L [19] and the radial Gaussian density function 0 = 4:z x 2 exp {--x2/2b2L2}/(1 --F) x (2:zb2L2) a/2 [20] were considered previously (13,14). Of course, the scaling parameter b in eq.…”

Section: Numerical Resultsmentioning

confidence: 99%

“…Moreover, we have added in the value of Sff at do = L as predicted by eq. [14]. This is necessary because the Der-jaguin integration of eq.…”

Section: The Interpenetrational Domainmentioning

confidence: 97%

Steric stabilization in worse thanθ-solvents

Smitham

Napper

1979

Colloid Polymer Sci

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“…Although the need to evaluate this term has been stressed by Ottewill (2, 3) on more than one occasion, no simple analytic formulae have yet been developed which allow the magnitude of the elastic contribution to be evaluated easily. In this paper we use the Flory network theory to derive such formulae for the several different models of steric stabilization that we have considered previously (4). These are the constant segment density model (hereafter termed model I), the denting model (model II) and the gaussian segment density distribution function model (model III).…”

Section: Introductionmentioning

confidence: 99%