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Updated: Apr 20, 2026

Electrophoretic Crystallization of Ultrathin High-performance Metal-organic Framework Membranes

Electrophoretic Crystallization of Ultrathin High-performance Metal-organic Framework Membranes

Published on: August 16, 2018

Alkane separation using nanoporous graphene membranes.

Krzysztof Nieszporek¹, Mateusz Drach

¹Faculty of Chemistry, Department of Theoretical Chemistry, Maria Curie-Skłodowska University, pl. M. Curie-Skłodowskiej 3, 20-031 Lublin, Poland. krzysn@hektor.umcs.lublin.pl.

Physical Chemistry Chemical Physics : PCCP

|November 21, 2014

Summary

Graphene nanopores show high selectivity for separating methane and butane mixtures. Unexpectedly, larger butane molecules permeated faster through wider pores, demonstrating potential for intelligent membrane design.

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Last Updated: Apr 20, 2026

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Area of Science:

Materials Science
Nanotechnology
Chemical Engineering

Background:

Graphene's unique properties offer potential for advanced membrane technologies.
Controlling nanopore size is crucial for selective molecular transport.
Understanding permeation mechanisms is key to designing efficient separation membranes.

Purpose of the Study:

To investigate the permeability of graphene sheets with engineered nanopores for alkane mixtures.
To characterize the energy landscape governing molecular transmission through nanopores.
To explore the potential of graphene membranes for selective gas separation.

Main Methods:

Classical molecular dynamics simulations were employed.
Potential of the mean force calculations were used to analyze energy profiles.
Graphene sheets with hydrogen-passivated nanopores of 0.32 nm and 0.64 nm diameters were simulated.

Main Results:

High selectivity for methane + butane mixture observed with a 0.32 nm pore, governed by volume exclusion.
Unexpectedly rapid permeation of butane over methane through a 0.64 nm pore.
A 'corking' effect was observed where larger molecules blocked the permeation path.

Conclusions:

Graphene nanopores can be designed for selective alkane mixture separation.
Pore size significantly influences separation mechanisms and efficiency.
Graphene membranes show promise for creating intelligent membranes with tunable selectivity.