Literature DB >> 29431679

Statistical mechanics of binary mixture adsorption in metal-organic frameworks in the osmotic ensemble.

Lawrence J Dunne1,2,3, George Manos4.   

Abstract

Although crucial for designing separation processes little is known experimentally about multi-component adsorption isotherms in comparison with pure single components. Very few binary mixture adsorption isotherms are to be found in the literature and information about isotherms over a wide range of gas-phase composition and mechanical pressures and temperature is lacking. Here, we present a quasi-one-dimensional statistical mechanical model of binary mixture adsorption in metal-organic frameworks (MOFs) treated exactly by a transfer matrix method in the osmotic ensemble. The experimental parameter space may be very complex and investigations into multi-component mixture adsorption may be guided by theoretical insights. The approach successfully models breathing structural transitions induced by adsorption giving a good account of the shape of adsorption isotherms of CO2 and CH4 adsorption in MIL-53(Al). Binary mixture isotherms and co-adsorption-phase diagrams are also calculated and found to give a good description of the experimental trends in these properties and because of the wide model parameter range which reproduces this behaviour suggests that this is generic to MOFs. Finally, a study is made of the influence of mechanical pressure on the shape of CO2 and CH4 adsorption isotherms in MIL-53(Al). Quite modest mechanical pressures can induce significant changes to isotherm shapes in MOFs with implications for binary mixture separation processes.This article is part of the theme issue 'Modern theoretical chemistry'.
© 2018 The Author(s).

Entities:  

Keywords:  binary and co-adsorption; mechanical pressure; metal–organic framework; mixture adsorption isotherms; osmotic ensemble; transfer matrix

Year:  2018        PMID: 29431679     DOI: 10.1098/rsta.2017.0151

Source DB:  PubMed          Journal:  Philos Trans A Math Phys Eng Sci        ISSN: 1364-503X            Impact factor:   4.226


  2 in total

1.  Modern theoretical chemistry: the legacy of Prof. John N. Murrell.

Authors:  Anthony J Stace; David C Clary
Journal:  Philos Trans A Math Phys Eng Sci       Date:  2018-03-13       Impact factor: 4.226

2.  Predicting the Features of Methane Adsorption in Large Pore Metal-Organic Frameworks for Energy Storage.

Authors:  George Manos; Lawrence J Dunne
Journal:  Nanomaterials (Basel)       Date:  2018-10-11       Impact factor: 5.076

  2 in total

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