A Statistical Theory of cosolvent-induced coil-globule transitions in dilute polymer solution
Yu. A. Budkov, A. L. Kolesnikov, N. Georgi, and M. G. Kiselev

TL;DR
This paper develops a statistical mean-field model to analyze how cosolvent concentration and interactions induce coil-globule transitions in dilute polymer solutions, revealing conditions for polymer collapse.
Contribution
It introduces a coupled mean-field framework to predict polymer conformational changes driven by cosolvent interactions, extending understanding of coil-globule transitions.
Findings
Polymer collapse occurs with both repulsive and attractive polymer-cosolvent interactions.
The model predicts the dependence of polymer size on cosolvent concentration.
Results are relevant for biological and material science applications.
Abstract
We present a statistical model of a dilute polymer solution in good solvent in the presence of low-molecular weight cosolvent. We investigate the conformational changes of the polymer induced by a change of the cosolvent concentration and the type of interaction between the cosolvent and the polymer. We describe the polymer in solution by the Edwards model, where the partition function of the polymer chain with a fixed radius of gyration is described in the framework of the mean-field approximation. The contributions of polymer-cosolvent and the cosolvent-cosolvent interactions in the total Helmholtz free energy are treated also within the mean-field approximation. For convenience we separate the system volume on two parts: the volume occupied by the polymer chain expressed through its gyration volume and the bulk solution. Considering the equilibrium between the two subvolumes we…
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