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Using Molecular Simulations to Unravel the Benefits of Characterizing Mixture Permeation in Microporous Membranes in Terms of the Spreading Pressure
[Image: see text] The separation performance of microporous crystalline materials in membrane constructs is dictated by a combination of mixture adsorption and intracrystalline diffusion characteristics; the permeation selectivity S(perm) is a product of the adsorption selectivity S(ads) and the dif...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Chemical Society
2020
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7759009/ https://www.ncbi.nlm.nih.gov/pubmed/33376915 http://dx.doi.org/10.1021/acsomega.0c05269 |
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author | Krishna, Rajamani van Baten, Jasper M. |
author_facet | Krishna, Rajamani van Baten, Jasper M. |
author_sort | Krishna, Rajamani |
collection | PubMed |
description | [Image: see text] The separation performance of microporous crystalline materials in membrane constructs is dictated by a combination of mixture adsorption and intracrystalline diffusion characteristics; the permeation selectivity S(perm) is a product of the adsorption selectivity S(ads) and the diffusion selectivity, S(diff). The primary objective of this article is to gain fundamental insights into S(ads) and S(diff) by use of molecular simulations. We performed configurational-bias Monte Carlo (CBMC) simulations of mixture adsorption equilibrium and molecular dynamics (MD) simulations of guest self-diffusivities of a number of binary mixtures of light gaseous molecules (CO(2), CH(4), N(2), H(2), and C(2)H(6)) in a variety of microporous hosts of different pore dimensions and topologies. Irrespective of the bulk gas compositions and bulk gas fugacities, the adsorption selectivity, S(ads), is found to be uniquely determined by the adsorption potential, Φ, a convenient and practical proxy for the spreading pressure π that is calculable using the ideal adsorbed solution theory for mixture adsorption equilibrium. The adsorption potential Φ is also a proxy for the pore occupancy and is the thermodynamically appropriate yardstick to determine the loading and composition dependences of intracrystalline diffusivities and diffusion selectivities, S(diff). When compared at the same Φ, the component permeabilities, Π(i) for CO(2), CH(4), and N(2), determinable from CBMC/MD data, are found to be independent of the partners in the various mixtures investigated and have practically the same values as the values for the corresponding unary permeabilities. In all investigated systems, the H(2) permeability in a mixture is significantly lower than the corresponding unary value. These reported results have important practical consequences in process development and are also useful for screening of materials for use as membrane devices. |
format | Online Article Text |
id | pubmed-7759009 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | American Chemical Society |
record_format | MEDLINE/PubMed |
spelling | pubmed-77590092020-12-28 Using Molecular Simulations to Unravel the Benefits of Characterizing Mixture Permeation in Microporous Membranes in Terms of the Spreading Pressure Krishna, Rajamani van Baten, Jasper M. ACS Omega [Image: see text] The separation performance of microporous crystalline materials in membrane constructs is dictated by a combination of mixture adsorption and intracrystalline diffusion characteristics; the permeation selectivity S(perm) is a product of the adsorption selectivity S(ads) and the diffusion selectivity, S(diff). The primary objective of this article is to gain fundamental insights into S(ads) and S(diff) by use of molecular simulations. We performed configurational-bias Monte Carlo (CBMC) simulations of mixture adsorption equilibrium and molecular dynamics (MD) simulations of guest self-diffusivities of a number of binary mixtures of light gaseous molecules (CO(2), CH(4), N(2), H(2), and C(2)H(6)) in a variety of microporous hosts of different pore dimensions and topologies. Irrespective of the bulk gas compositions and bulk gas fugacities, the adsorption selectivity, S(ads), is found to be uniquely determined by the adsorption potential, Φ, a convenient and practical proxy for the spreading pressure π that is calculable using the ideal adsorbed solution theory for mixture adsorption equilibrium. The adsorption potential Φ is also a proxy for the pore occupancy and is the thermodynamically appropriate yardstick to determine the loading and composition dependences of intracrystalline diffusivities and diffusion selectivities, S(diff). When compared at the same Φ, the component permeabilities, Π(i) for CO(2), CH(4), and N(2), determinable from CBMC/MD data, are found to be independent of the partners in the various mixtures investigated and have practically the same values as the values for the corresponding unary permeabilities. In all investigated systems, the H(2) permeability in a mixture is significantly lower than the corresponding unary value. These reported results have important practical consequences in process development and are also useful for screening of materials for use as membrane devices. American Chemical Society 2020-12-10 /pmc/articles/PMC7759009/ /pubmed/33376915 http://dx.doi.org/10.1021/acsomega.0c05269 Text en © 2020 American Chemical Society This is an open access article published under a Creative Commons Non-Commercial No Derivative Works (CC-BY-NC-ND) Attribution License (http://pubs.acs.org/page/policy/authorchoice_ccbyncnd_termsofuse.html) , which permits copying and redistribution of the article, and creation of adaptations, all for non-commercial purposes. |
spellingShingle | Krishna, Rajamani van Baten, Jasper M. Using Molecular Simulations to Unravel the Benefits of Characterizing Mixture Permeation in Microporous Membranes in Terms of the Spreading Pressure |
title | Using Molecular Simulations to Unravel the Benefits
of Characterizing Mixture Permeation in Microporous Membranes in Terms
of the Spreading Pressure |
title_full | Using Molecular Simulations to Unravel the Benefits
of Characterizing Mixture Permeation in Microporous Membranes in Terms
of the Spreading Pressure |
title_fullStr | Using Molecular Simulations to Unravel the Benefits
of Characterizing Mixture Permeation in Microporous Membranes in Terms
of the Spreading Pressure |
title_full_unstemmed | Using Molecular Simulations to Unravel the Benefits
of Characterizing Mixture Permeation in Microporous Membranes in Terms
of the Spreading Pressure |
title_short | Using Molecular Simulations to Unravel the Benefits
of Characterizing Mixture Permeation in Microporous Membranes in Terms
of the Spreading Pressure |
title_sort | using molecular simulations to unravel the benefits
of characterizing mixture permeation in microporous membranes in terms
of the spreading pressure |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7759009/ https://www.ncbi.nlm.nih.gov/pubmed/33376915 http://dx.doi.org/10.1021/acsomega.0c05269 |
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