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Computational Exploration of IRMOFs for Xenon Separation from Air

[Image: see text] Metal–organic frameworks (MOFs) found their well-deserved position in the field of gas adsorption and separation because of their unique properties. The separation of xenon from different gas mixtures containing this valuable and essential noble gas is also benefited from the excit...

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Autores principales: Panter, Sabrina, Zarabadi-Poor, Pezhman
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Chemical Society 2018
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6643503/
https://www.ncbi.nlm.nih.gov/pubmed/31458424
http://dx.doi.org/10.1021/acsomega.8b03014
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author Panter, Sabrina
Zarabadi-Poor, Pezhman
author_facet Panter, Sabrina
Zarabadi-Poor, Pezhman
author_sort Panter, Sabrina
collection PubMed
description [Image: see text] Metal–organic frameworks (MOFs) found their well-deserved position in the field of gas adsorption and separation because of their unique properties. The separation of xenon from different gas mixtures containing this valuable and essential noble gas is also benefited from the exciting nature of MOFs. In this research, we chose a series of isoreticular MOFs as our study models to apply advanced molecular simulation techniques in the context of xenon separation from air. We investigated the separation performance of our model set through simulation of ternary gas adsorption isotherms and consequent calculation of separation performance descriptors, finding out that IRMOF-7 shows better recovering capabilities compared to the other studied MOFs. We benefited from visualization of xenon energy landscape within MOFs to obtain valuable information on possible reasoning behind our observations. We also examined temperature-based separation performance boosting strategy. Additionally, we noted that although promising candidates are present among the studied MOFs for xenon recovery from air, they are not suitable for xenon recovery from exhaled anesthetic gas mixture.
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spelling pubmed-66435032019-08-27 Computational Exploration of IRMOFs for Xenon Separation from Air Panter, Sabrina Zarabadi-Poor, Pezhman ACS Omega [Image: see text] Metal–organic frameworks (MOFs) found their well-deserved position in the field of gas adsorption and separation because of their unique properties. The separation of xenon from different gas mixtures containing this valuable and essential noble gas is also benefited from the exciting nature of MOFs. In this research, we chose a series of isoreticular MOFs as our study models to apply advanced molecular simulation techniques in the context of xenon separation from air. We investigated the separation performance of our model set through simulation of ternary gas adsorption isotherms and consequent calculation of separation performance descriptors, finding out that IRMOF-7 shows better recovering capabilities compared to the other studied MOFs. We benefited from visualization of xenon energy landscape within MOFs to obtain valuable information on possible reasoning behind our observations. We also examined temperature-based separation performance boosting strategy. Additionally, we noted that although promising candidates are present among the studied MOFs for xenon recovery from air, they are not suitable for xenon recovery from exhaled anesthetic gas mixture. American Chemical Society 2018-12-27 /pmc/articles/PMC6643503/ /pubmed/31458424 http://dx.doi.org/10.1021/acsomega.8b03014 Text en Copyright © 2018 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 Panter, Sabrina
Zarabadi-Poor, Pezhman
Computational Exploration of IRMOFs for Xenon Separation from Air
title Computational Exploration of IRMOFs for Xenon Separation from Air
title_full Computational Exploration of IRMOFs for Xenon Separation from Air
title_fullStr Computational Exploration of IRMOFs for Xenon Separation from Air
title_full_unstemmed Computational Exploration of IRMOFs for Xenon Separation from Air
title_short Computational Exploration of IRMOFs for Xenon Separation from Air
title_sort computational exploration of irmofs for xenon separation from air
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6643503/
https://www.ncbi.nlm.nih.gov/pubmed/31458424
http://dx.doi.org/10.1021/acsomega.8b03014
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