Issue 28, 2018

Osmotic pressure in polyelectrolyte solutions: cell-model and bulk simulations

Abstract

The osmotic pressure of polyelectrolyte solutions as a function of concentration has been calculated by Monte Carlo simulations of a spherical cell model and by molecular dynamics simulations with periodic boundary conditions. The results for the coarse-grained polyelectrolyte model are in good agreement with experimental results for sodium polyacrylate and the cell model is validated by the bulk simulations. The cell model offers an alternative perspective on osmotic pressure and also forms a direct link to even simpler models in the form of the Poisson–Boltzmann approximation applied to cylindrical and spherical geometries. As a result, the non-monotonic behaviour of the osmotic coefficient seen in simulated salt-free solutions is shown not to rely on a transition between a dilute and semi-dilute regime, as is often suggested when the polyion is modelled as a linear flexible chain. The non-monotonic behaviour is better described as the combination of a finite-size effect and a double-layer effect. Parameters that represent the linear nature of the polyion, including an alternative to monomer concentration, make it possible to display a generalised behaviour of equivalent chains, at least at low concentrations. At high concentrations, local interactions become significant and the exact details of the model become important. The effects of added salt are also discussed and one conclusion is that the empirical additivity rule, treating the contributions from the polyelectrolyte and any salt separately, is a reasonable approximation, which justifies the study of salt-free solutions.

Graphical abstract: Osmotic pressure in polyelectrolyte solutions: cell-model and bulk simulations

Article information

Article type
Paper
Submitted
28 Mar 2018
Accepted
21 Jun 2018
First published
22 Jun 2018
This article is Open Access
Creative Commons BY license

Soft Matter, 2018,14, 5832-5846

Osmotic pressure in polyelectrolyte solutions: cell-model and bulk simulations

M. Ullner, K. Qamhieh and B. Cabane, Soft Matter, 2018, 14, 5832 DOI: 10.1039/C8SM00654G

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