Abstract

Volume phase transitions in polyeletrolyte gels play important roles in many biophysical processes such as DNA packaging, nerve excitation, and cellular secretion. The swelling and deswelling of these charged polymer gels depend strongly on their ionic environment. In this paper, we present an extension to our previous two-fluid model for ion-binding-mediated gel swelling. The extended model eliminates the assumptions about the size similarity between the network and solvent particles, which makes it suitable for investigating of a large family of biologically relevant problems. The model treats the polyeletrolyte gel as a mixture of two materials, the network and the solvent. The dynamics of gel swelling is governed by the balance between the mechanical and chemical forces on each of these two materials. Simulations based on the model illustrate that the chemical forces are significantly influenced by the binding/unbinding reactions between the ions and the network, as well as the resulting distribution of charges within the gel. The dependence of the swelling rate on ionic bath concentrations is analyzed and this analysis highlights the importance of the electromigration of ions and the induced electric field in regulating gel swelling.

Highlights

  • Mucus is an entangled network of long-chain glycoproteins that is present in many biological systems including the respiratory and gastrointestinal tracts [1]

  • The goal of this work is threefold: (1) to re-derive the equations of motion for a model of a mucus-like polyelectrolyte gel based on the work of Sircar et al without the assumption that network and solvent particles are of similar size, (2) to formulate the model in terms of a balance of force densities acting on the network and solvent phases, for clarity, and (3) to simulate and analyze a set of numerical experiments in which a dense sample of mucus, with a high concentration of calcium, is placed into a bath, in which monovalent sodium ions far outnumbered divalent calcium ones, and is allowed to swell dynamically

  • Our model accounts for the differing chemical affinities of the network polymers for various mono- and divalent ions, and the way in which this chemistry impacts the various forces that govern the dynamics of swelling of the gel

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Summary

Introduction

Mucus is an entangled network of long-chain glycoproteins that is present in many biological systems including the respiratory and gastrointestinal tracts [1]. The goal of this work is threefold: (1) to re-derive (from first principles) the equations of motion for a model of a mucus-like polyelectrolyte gel based on the work of Sircar et al without the assumption that network and solvent particles are of similar size, (2) to formulate the model in terms of a balance of force densities acting on the network and solvent phases, for clarity, and (3) to simulate and analyze a set of numerical experiments in which a dense sample of mucus, with a high concentration of calcium, is placed into a bath, in which monovalent sodium ions far outnumbered divalent calcium ones, and is allowed to swell dynamically. We can understand the dynamic movement of the network/solvent phases as being driven by the three electrochemical force densities, while the mechanical forces arise in response to the motion of the two phases

Mathematical Model
Equations of Motion
Potentials Acting on Particles
Entropy
Electrostatic Potential
Short-Range Interactions
Forces Acting on the System
Entropic Forces
Electric Force Densities
Chemical Evolution
Solution Strategy
Problem Setup
Observed Swelling Dynamics
Analysis of the Swelling Behaviors
Discussion
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