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Combined GCMC, MD, and DFT Approach for Unlocking the Performances of COFs for Methane Purification
[Image: see text] Covalent organic frameworks (COFs) are promising materials for gas storage and separation; however, the potential of COFs for separation of CH(4) from industrially relevant gases such as H(2), N(2), and C(2)H(6) is yet to be investigated. In this work, we followed a multiscale comp...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Chemical Society
2021
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8431337/ https://www.ncbi.nlm.nih.gov/pubmed/34526735 http://dx.doi.org/10.1021/acs.iecr.1c01742 |
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author | Altundal, Omer Faruk Haslak, Zeynep Pinar Keskin, Seda |
author_facet | Altundal, Omer Faruk Haslak, Zeynep Pinar Keskin, Seda |
author_sort | Altundal, Omer Faruk |
collection | PubMed |
description | [Image: see text] Covalent organic frameworks (COFs) are promising materials for gas storage and separation; however, the potential of COFs for separation of CH(4) from industrially relevant gases such as H(2), N(2), and C(2)H(6) is yet to be investigated. In this work, we followed a multiscale computational approach to unlock both the adsorption- and membrane-based CH(4)/H(2), CH(4)/N(2), and C(2)H(6)/CH(4) separation potentials of 572 COFs by combining grand canonical Monte Carlo (GCMC) and molecular dynamics (MD) simulations and density functional theory (DFT) calculations. Adsorbent performance evaluation metrics of COFs, adsorption selectivity, working capacity, regenerability, and adsorbent performance score were calculated for separation of equimolar CH(4)/H(2), CH(4)/N(2), and C(2)H(6)/CH(4) mixtures at vacuum swing adsorption (VSA) and pressure swing adsorption (PSA) conditions to identify the best-performing COFs for each mixture. Results showed that COFs could achieve selectivities of 2–85, 1–7, and 2–23 for PSA-based CH(4)/H(2), CH(4)/N(2), and C(2)H(6)/CH(4) separations, respectively, outperforming conventional adsorbents such as zeolites and activated carbons for each mixture. Structure–performance relations revealed that COFs with pore sizes <10 Å are promising adsorbents for all mixtures. We identified the gas adsorption sites in the three top-performing COFs commonly identified for each mixture by DFT calculations and computed the binding strength of gases, which were found to be on the order of C(2)H(6) > CH(4) > N(2) > H(2), supporting the GCMC results. Nucleus-independent chemical shift (NICS) indexes of aromaticity for adsorption sites were calculated, and the results revealed that the degree of linker aromaticity could be a measure for the selection or design of highly alkane-selective COF adsorbents over N(2) and H(2). Finally, COF membranes were shown to achieve high H(2) permeabilities, 4.57 × 10(3)–1.25 × 10(6) Barrer, and decent membrane selectivities, as high as 4.3, outperforming polymeric and MOF-based membranes for separation of H(2) from CH(4). |
format | Online Article Text |
id | pubmed-8431337 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | American Chemical Society |
record_format | MEDLINE/PubMed |
spelling | pubmed-84313372021-09-13 Combined GCMC, MD, and DFT Approach for Unlocking the Performances of COFs for Methane Purification Altundal, Omer Faruk Haslak, Zeynep Pinar Keskin, Seda Ind Eng Chem Res [Image: see text] Covalent organic frameworks (COFs) are promising materials for gas storage and separation; however, the potential of COFs for separation of CH(4) from industrially relevant gases such as H(2), N(2), and C(2)H(6) is yet to be investigated. In this work, we followed a multiscale computational approach to unlock both the adsorption- and membrane-based CH(4)/H(2), CH(4)/N(2), and C(2)H(6)/CH(4) separation potentials of 572 COFs by combining grand canonical Monte Carlo (GCMC) and molecular dynamics (MD) simulations and density functional theory (DFT) calculations. Adsorbent performance evaluation metrics of COFs, adsorption selectivity, working capacity, regenerability, and adsorbent performance score were calculated for separation of equimolar CH(4)/H(2), CH(4)/N(2), and C(2)H(6)/CH(4) mixtures at vacuum swing adsorption (VSA) and pressure swing adsorption (PSA) conditions to identify the best-performing COFs for each mixture. Results showed that COFs could achieve selectivities of 2–85, 1–7, and 2–23 for PSA-based CH(4)/H(2), CH(4)/N(2), and C(2)H(6)/CH(4) separations, respectively, outperforming conventional adsorbents such as zeolites and activated carbons for each mixture. Structure–performance relations revealed that COFs with pore sizes <10 Å are promising adsorbents for all mixtures. We identified the gas adsorption sites in the three top-performing COFs commonly identified for each mixture by DFT calculations and computed the binding strength of gases, which were found to be on the order of C(2)H(6) > CH(4) > N(2) > H(2), supporting the GCMC results. Nucleus-independent chemical shift (NICS) indexes of aromaticity for adsorption sites were calculated, and the results revealed that the degree of linker aromaticity could be a measure for the selection or design of highly alkane-selective COF adsorbents over N(2) and H(2). Finally, COF membranes were shown to achieve high H(2) permeabilities, 4.57 × 10(3)–1.25 × 10(6) Barrer, and decent membrane selectivities, as high as 4.3, outperforming polymeric and MOF-based membranes for separation of H(2) from CH(4). American Chemical Society 2021-08-25 2021-09-08 /pmc/articles/PMC8431337/ /pubmed/34526735 http://dx.doi.org/10.1021/acs.iecr.1c01742 Text en © 2021 The Authors. Published by American Chemical Society https://creativecommons.org/licenses/by-nc-nd/4.0/Permits non-commercial access and re-use, provided that author attribution and integrity are maintained; but does not permit creation of adaptations or other derivative works (https://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Altundal, Omer Faruk Haslak, Zeynep Pinar Keskin, Seda Combined GCMC, MD, and DFT Approach for Unlocking the Performances of COFs for Methane Purification |
title | Combined GCMC, MD, and DFT Approach for Unlocking
the Performances of COFs for Methane Purification |
title_full | Combined GCMC, MD, and DFT Approach for Unlocking
the Performances of COFs for Methane Purification |
title_fullStr | Combined GCMC, MD, and DFT Approach for Unlocking
the Performances of COFs for Methane Purification |
title_full_unstemmed | Combined GCMC, MD, and DFT Approach for Unlocking
the Performances of COFs for Methane Purification |
title_short | Combined GCMC, MD, and DFT Approach for Unlocking
the Performances of COFs for Methane Purification |
title_sort | combined gcmc, md, and dft approach for unlocking
the performances of cofs for methane purification |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8431337/ https://www.ncbi.nlm.nih.gov/pubmed/34526735 http://dx.doi.org/10.1021/acs.iecr.1c01742 |
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