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Computational Identification and Experimental Demonstration of High‐Performance Methane Sorbents
Remarkable methane uptake is demonstrated experimentally in three metal‐organic frameworks (MOFs) identified by computational screening: UTSA‐76, UMCM‐152 and DUT‐23‐Cu. These MOFs outperform the benchmark sorbent, HKUST‐1, both volumetrically and gravimetrically, under a pressure swing of 80 to 5 b...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9322563/ https://www.ncbi.nlm.nih.gov/pubmed/35478372 http://dx.doi.org/10.1002/anie.202203575 |
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author | Nath, Karabi Ahmed, Alauddin Siegel, Donald J. Matzger, Adam J. |
author_facet | Nath, Karabi Ahmed, Alauddin Siegel, Donald J. Matzger, Adam J. |
author_sort | Nath, Karabi |
collection | PubMed |
description | Remarkable methane uptake is demonstrated experimentally in three metal‐organic frameworks (MOFs) identified by computational screening: UTSA‐76, UMCM‐152 and DUT‐23‐Cu. These MOFs outperform the benchmark sorbent, HKUST‐1, both volumetrically and gravimetrically, under a pressure swing of 80 to 5 bar at 298 K. Although high uptake at elevated pressure is critical for achieving this performance, a low density of high‐affinity sites (coordinatively unsaturated metal centers) also contributes to a more complete release of stored gas at low pressure. The identification of these MOFs facilitates the efficient storage of natural gas via adsorption and provides further evidence of the utility of computational screening in identifying overlooked sorbents. |
format | Online Article Text |
id | pubmed-9322563 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-93225632022-07-30 Computational Identification and Experimental Demonstration of High‐Performance Methane Sorbents Nath, Karabi Ahmed, Alauddin Siegel, Donald J. Matzger, Adam J. Angew Chem Int Ed Engl Communications Remarkable methane uptake is demonstrated experimentally in three metal‐organic frameworks (MOFs) identified by computational screening: UTSA‐76, UMCM‐152 and DUT‐23‐Cu. These MOFs outperform the benchmark sorbent, HKUST‐1, both volumetrically and gravimetrically, under a pressure swing of 80 to 5 bar at 298 K. Although high uptake at elevated pressure is critical for achieving this performance, a low density of high‐affinity sites (coordinatively unsaturated metal centers) also contributes to a more complete release of stored gas at low pressure. The identification of these MOFs facilitates the efficient storage of natural gas via adsorption and provides further evidence of the utility of computational screening in identifying overlooked sorbents. John Wiley and Sons Inc. 2022-04-27 2022-06-20 /pmc/articles/PMC9322563/ /pubmed/35478372 http://dx.doi.org/10.1002/anie.202203575 Text en © 2022 The Authors. Angewandte Chemie International Edition published by Wiley-VCH GmbH https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc-nd/4.0/ (https://creativecommons.org/licenses/by-nc-nd/4.0/) License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made. |
spellingShingle | Communications Nath, Karabi Ahmed, Alauddin Siegel, Donald J. Matzger, Adam J. Computational Identification and Experimental Demonstration of High‐Performance Methane Sorbents |
title | Computational Identification and Experimental Demonstration of High‐Performance Methane Sorbents |
title_full | Computational Identification and Experimental Demonstration of High‐Performance Methane Sorbents |
title_fullStr | Computational Identification and Experimental Demonstration of High‐Performance Methane Sorbents |
title_full_unstemmed | Computational Identification and Experimental Demonstration of High‐Performance Methane Sorbents |
title_short | Computational Identification and Experimental Demonstration of High‐Performance Methane Sorbents |
title_sort | computational identification and experimental demonstration of high‐performance methane sorbents |
topic | Communications |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9322563/ https://www.ncbi.nlm.nih.gov/pubmed/35478372 http://dx.doi.org/10.1002/anie.202203575 |
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