Abstract
The separation of C2H2/CO2 is not only industrially important for acetylene purification but also scientifically challenging owing to their high similarities in physical properties and molecular sizes. Ultramicroporous metal-organic frameworks (MOFs) can exhibit a pore confinement effect to differentiate gas molecules of similar size. Herein, we report the fine-tuning of pore sizes in sub-nanometer scale on a series of isoreticular MOFs that can realize highly efficient C2H2/CO2 separation. The subtle structural differences lead to remarkable adsorption performances enhancement. Among four MOF analogs, by integrating appropriate pore size and specific binding sites, [Cu(dps)2(SiF6)] (SIFSIX-dps-Cu, SIFSIX = SiF62-, dps = 4.4’-dipyridylsulfide, also termed as NCU-100) exhibits the highest C2H2 uptake capacity and C2H2/CO2 selectivity. At room temperature, the pore space of SIFSIX-dps-Cu significantly inhibits CO2 molecules but takes up a large amount of C2H2 (4.57 mmol g−1), resulting in a high IAST selectivity of 1787 for C2H2/CO2 separation. The multiple host-guest interactions for C2H2 in both inter- and intralayer cavities are further revealed by dispersion-corrected density functional theory and grand canonical Monte Carlo simulations. Dynamic breakthrough experiments show a clean C2H2/CO2 separation with a high C2H2 working capacity of 2.48 mmol g−1.
Original language | English (US) |
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Article number | 200 |
Journal | Nature communications |
Volume | 13 |
Issue number | 1 |
DOIs | |
State | Published - Dec 2022 |
ASJC Scopus subject areas
- Chemistry(all)
- Biochemistry, Genetics and Molecular Biology(all)
- Physics and Astronomy(all)
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CCDC 2060207: Experimental Crystal Structure Determination
Wang, J. (Contributor), Zhang, Y. (Contributor), Su, Y. (Contributor), Liu, X. (Contributor), Zhang, P. (Contributor), Lin, R. (Contributor), Chen, S. (Contributor), Deng, Q. (Contributor), Zeng, Z. (Contributor), Deng, S. (Contributor), Chen, B. (Contributor) & Su, Y. (Contributor), Cambridge Crystallographic Data Centre, 2022
DOI: 10.5517/ccdc.csd.cc274t9j, http://www.ccdc.cam.ac.uk/services/structure_request?id=doi:10.5517/ccdc.csd.cc274t9j&sid=DataCite
Dataset
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CCDC 2060208: Experimental Crystal Structure Determination
Wang, J. (Contributor), Zhang, Y. (Contributor), Su, Y. (Contributor), Liu, X. (Contributor), Zhang, P. (Contributor), Lin, R. (Contributor), Chen, S. (Contributor), Deng, Q. (Contributor), Zeng, Z. (Contributor), Deng, S. (Contributor), Chen, B. (Contributor) & Su, Y. (Contributor), Cambridge Crystallographic Data Centre, 2022
DOI: 10.5517/ccdc.csd.cc274tbk, http://www.ccdc.cam.ac.uk/services/structure_request?id=doi:10.5517/ccdc.csd.cc274tbk&sid=DataCite
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