Entropic selectivity of microporous materials

Literature Information

Publication Date 2001-03-29
DOI 10.1039/B009434J
Impact Factor 3.676
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Abstract

The absorption of hard spheres into narrow pores is examined in the framework of Rosenfeld's “fundamental measure” formulation of density functional theory (DFT) for inhomogeneous fluids. The influence of the dimensionality of the confining geometry is assessed by considering the cases of a spherical cavity, an infinite cylindrical channel and an infinite slit. The pores are assumed to be in chemical equilibrium with a reservoir which fixes the chemical potentials of the various species. The hard sphere mixture is considered as a highly simplified model of aqueous solutions, involving a majority component (solvent) and solutes competing for absorption into the pores. It is shown that excluded volume effects alone can lead to very strong selectivities of the pores, for certain ratios of the solute and solvent to pore diameters. The selectivity is strongest for spherical cavities, and is least pronounced in the slit geometry. More complex geometries, including pore edge effects, with dimensions typical of simple ion channels through membranes, are also examined within the same DFT framework. The DFT predictions for the density profiles inside the pores, and the resulting absorbances and selectivities, are tested by grand-canonical Monte Carlo (GCMC) simulations, and good agreement is found.

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Physical Chemistry Chemical Physics

Physical Chemistry Chemical Physics
CiteScore: 5.5
Self-citation Rate: 10.3%
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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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