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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...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Chemical Society
2018
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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. |
format | Online Article Text |
id | pubmed-6643503 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | American Chemical Society |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT pantersabrina computationalexplorationofirmofsforxenonseparationfromair AT zarabadipoorpezhman computationalexplorationofirmofsforxenonseparationfromair |