Excluded volume effects on ionic partitioning in gels and microgels: a simulation study

文献信息

发布日期 2014-10-16
DOI 10.1039/C4CP03314K
影响因子 3.676
作者

Silvia Ahualli, Alberto Martín-Molina, Manuel Quesada-Pérez


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摘要

In this work the effect of volume exclusion on ionic partitioning in swollen and moderately collapsed gels has been studied through coarse-grained simulations. Our results show that finite size effects yield deviations from the classical theory of Donnan exclusion. At low or moderate reservoir electrolyte concentration these discrepancies become important if one of the ions has diameters of just a few nanometers. When the reservoir electrolyte concentration grows, volume exclusion can lead to a drastic failure of the ideal Donnan exclusion even for conventional hydrated monoatomic ions. In addition, an approximate analytical expression for the partition coefficient of ionic species including the volume exclusion associated with the polymer network and the neutralizing counterions has been proposed and tested. This theoretical approach also provides an expression for the Donnan potential difference that takes such effects into account. Good agreement between theory and simulations is found for slightly and moderately charged gels (both at low and high reservoir electrolyte concentrations). The theory also works acceptably for highly charged gels at high salt concentrations or for electrolytes with large counterions.

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来源期刊

Physical Chemistry Chemical Physics

Physical Chemistry Chemical Physics
CiteScore: 5.5
自引率: 10.3%
年发文量: 3036

Physical Chemistry Chemical Physics (PCCP) is an international journal co-owned by 19 physical chemistry and physics societies from around the world. This journal publishes original, cutting-edge research in physical chemistry, chemical physics and biophysical chemistry. To be suitable for publication in PCCP, articles must include significant innovation and/or insight into physical chemistry; this is the most important criterion that reviewers and Editors will judge against when evaluating submissions. The journal has a broad scope and welcomes contributions spanning experiment, theory, computation and data science. Topical coverage includes spectroscopy, dynamics, kinetics, statistical mechanics, thermodynamics, electrochemistry, catalysis, surface science, quantum mechanics, quantum computing and machine learning. Interdisciplinary research areas such as polymers and soft matter, materials, nanoscience, energy, surfaces/interfaces, and biophysical chemistry are welcomed if they demonstrate significant innovation and/or insight into physical chemistry. Joined experimental/theoretical studies are particularly appreciated when complementary and based on up-to-date approaches.

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