Testing the accuracy of correlations for multicomponent mass transport of adsorbed gases in metal-organic frameworks : diffusion of H2/CH4 mixtures in CuBTC

Mass transport of chemical mixtures in nanoporous materials is important in applications such as membrane separations, but measuring diffusion of mixtures experimentally is challenging. Methods that can predict multicomponent diffusion coefficients from single-component data can be extremely useful...

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Veröffentlicht in:Langmuir : the ACS journal of surfaces and colloids. - 1991. - 24(2008), 15 vom: 05. Aug., Seite 8254-61
1. Verfasser: Keskin, Seda (VerfasserIn)
Weitere Verfasser: Liu, Jinchen, Johnson, J Karl, Sholl, David S
Format: Online-Aufsatz
Sprache:English
Veröffentlicht: 2008
Zugriff auf das übergeordnete Werk:Langmuir : the ACS journal of surfaces and colloids
Schlagworte:Journal Article
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520 |a Mass transport of chemical mixtures in nanoporous materials is important in applications such as membrane separations, but measuring diffusion of mixtures experimentally is challenging. Methods that can predict multicomponent diffusion coefficients from single-component data can be extremely useful if these methods are known to be accurate. We present the first test of a method of this kind for molecules adsorbed in a metal-organic framework (MOF). Specifically, we examine the method proposed by Skoulidas, Sholl, and Krishna (SSK) ( Langmuir, 2003, 19, 7977) by comparing predictions made with this method to molecular simulations of mixture transport of H 2/CH 4 mixtures in CuBTC. These calculations provide the first direct information on mixture transport of any species in a MOF. The predictions of the SSK approach are in good agreement with our direct simulations of binary diffusion, suggesting that this approach may be a powerful one for examining multicomponent diffusion in MOFs. We also use our molecular simulation data to test the ideal adsorbed solution theory method for predicting binary adsorption isotherms and a method for predicting mixture self-diffusion coefficients 
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700 1 |a Liu, Jinchen  |e verfasserin  |4 aut 
700 1 |a Johnson, J Karl  |e verfasserin  |4 aut 
700 1 |a Sholl, David S  |e verfasserin  |4 aut 
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