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Computational Screening of Metal–Organic Frameworks for Ammonia Capture from H(2)/N(2)/NH(3) Mixtures

[Image: see text] The separation of ammonia from H(2)/N(2)/NH(3) mixtures is an important step in ammonia decomposition for hydrogen production and ammonia synthesis from H(2) and N(2) based nonaqueous technologies. Metal–organic frameworks (MOFs) are considered as potential materials for capturing...

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Autores principales: Zhu, Zhaofan, Wang, Haiou, Wu, Xiao-Yu, Luo, Kun, Fan, Jianren
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Chemical Society 2022
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9607671/
https://www.ncbi.nlm.nih.gov/pubmed/36312414
http://dx.doi.org/10.1021/acsomega.2c04517
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author Zhu, Zhaofan
Wang, Haiou
Wu, Xiao-Yu
Luo, Kun
Fan, Jianren
author_facet Zhu, Zhaofan
Wang, Haiou
Wu, Xiao-Yu
Luo, Kun
Fan, Jianren
author_sort Zhu, Zhaofan
collection PubMed
description [Image: see text] The separation of ammonia from H(2)/N(2)/NH(3) mixtures is an important step in ammonia decomposition for hydrogen production and ammonia synthesis from H(2) and N(2) based nonaqueous technologies. Metal–organic frameworks (MOFs) are considered as potential materials for capturing ammonia. In the present work, high-throughput screening of 2932 Computation-Ready Experimental MOFs (CoRE MOFs) was carried out for ammonia capture from H(2)/N(2)/NH(3) mixtures by Grand Canonical Monte Carlo (GCMC) simulations. It was found that the high-performing MOFs are characterized by tube-like channels, moderate LCD (largest cavity diameter) (4–7.5 Å), and high Q(st)(0)(NH(3)) (the isosteric heat of NH(3) adsorption) (>45 kJ/mol). MOFs with high NH(3) adsorption capacity often feature moderate surface area, while the surface area of MOFs with high NH(3) selectivity is relatively lower, which limits the NH(3) adsorption capacity. Q(st)(0) and the Henry’s constant (K(H)) are two energy descriptors describing the interactions between adsorbents and adsorbates. The former has a stronger correlation with the adsorption selectivity, while the latter has a stronger correlation with the adsorption capacity. By analyzing the molecular density distribution of adsorbates in high-performing MOFs, it was found that unsaturated coordinated metal sites provide the main functional binding sites for NH(3). Most MOFs with high NH(3) selectivity have multiple different metal nodes or other atoms except C, O, and H, such as N and P. Multiple metal nodes and nonmetallic atoms provide more functional binding sites. Finally, the adsorption behavior with various concentrations of gas mixtures was examined to verify the universality of the screening calculations, and the effect of framework flexibility on adsorption performance was explored.
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spelling pubmed-96076712022-10-28 Computational Screening of Metal–Organic Frameworks for Ammonia Capture from H(2)/N(2)/NH(3) Mixtures Zhu, Zhaofan Wang, Haiou Wu, Xiao-Yu Luo, Kun Fan, Jianren ACS Omega [Image: see text] The separation of ammonia from H(2)/N(2)/NH(3) mixtures is an important step in ammonia decomposition for hydrogen production and ammonia synthesis from H(2) and N(2) based nonaqueous technologies. Metal–organic frameworks (MOFs) are considered as potential materials for capturing ammonia. In the present work, high-throughput screening of 2932 Computation-Ready Experimental MOFs (CoRE MOFs) was carried out for ammonia capture from H(2)/N(2)/NH(3) mixtures by Grand Canonical Monte Carlo (GCMC) simulations. It was found that the high-performing MOFs are characterized by tube-like channels, moderate LCD (largest cavity diameter) (4–7.5 Å), and high Q(st)(0)(NH(3)) (the isosteric heat of NH(3) adsorption) (>45 kJ/mol). MOFs with high NH(3) adsorption capacity often feature moderate surface area, while the surface area of MOFs with high NH(3) selectivity is relatively lower, which limits the NH(3) adsorption capacity. Q(st)(0) and the Henry’s constant (K(H)) are two energy descriptors describing the interactions between adsorbents and adsorbates. The former has a stronger correlation with the adsorption selectivity, while the latter has a stronger correlation with the adsorption capacity. By analyzing the molecular density distribution of adsorbates in high-performing MOFs, it was found that unsaturated coordinated metal sites provide the main functional binding sites for NH(3). Most MOFs with high NH(3) selectivity have multiple different metal nodes or other atoms except C, O, and H, such as N and P. Multiple metal nodes and nonmetallic atoms provide more functional binding sites. Finally, the adsorption behavior with various concentrations of gas mixtures was examined to verify the universality of the screening calculations, and the effect of framework flexibility on adsorption performance was explored. American Chemical Society 2022-10-10 /pmc/articles/PMC9607671/ /pubmed/36312414 http://dx.doi.org/10.1021/acsomega.2c04517 Text en © 2022 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 Zhu, Zhaofan
Wang, Haiou
Wu, Xiao-Yu
Luo, Kun
Fan, Jianren
Computational Screening of Metal–Organic Frameworks for Ammonia Capture from H(2)/N(2)/NH(3) Mixtures
title Computational Screening of Metal–Organic Frameworks for Ammonia Capture from H(2)/N(2)/NH(3) Mixtures
title_full Computational Screening of Metal–Organic Frameworks for Ammonia Capture from H(2)/N(2)/NH(3) Mixtures
title_fullStr Computational Screening of Metal–Organic Frameworks for Ammonia Capture from H(2)/N(2)/NH(3) Mixtures
title_full_unstemmed Computational Screening of Metal–Organic Frameworks for Ammonia Capture from H(2)/N(2)/NH(3) Mixtures
title_short Computational Screening of Metal–Organic Frameworks for Ammonia Capture from H(2)/N(2)/NH(3) Mixtures
title_sort computational screening of metal–organic frameworks for ammonia capture from h(2)/n(2)/nh(3) mixtures
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9607671/
https://www.ncbi.nlm.nih.gov/pubmed/36312414
http://dx.doi.org/10.1021/acsomega.2c04517
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