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Title: Soft corrugated channel with synergistic exclusive discrimination gating for CO₂ recognition in gas mixture
Authors: Gu, Yifan
Zheng, Jia-Jia
Otake, Ken-ichi
Sakaki, Shigeyoshi
Ashitani, Hirotaka
Kubota, Yoshiki
Kawaguchi, Shogo
Yao, Ming-Shui
Wang, Ping
Wang, Ying
Li, Fengting
Kitagawa, Susumu  kyouindb  KAKEN_id  orcid (unconfirmed)
Author's alias: 大竹, 研一
榊, 茂好
芦谷, 拓嵩
久保田, 佳基
河口, 彰吾
北川, 進
Keywords: Metal–organic frameworks
Structural materials
Issue Date: 15-Jul-2023
Publisher: Springer Nature
Journal title: Nature Communications
Volume: 14
Thesis number: 4245
Abstract: Developing artificial porous systems with high molecular recognition performance is critical but very challenging to achieve selective uptake of a particular component from a mixture of many similar species, regardless of the size and affinity of these competing species. A porous platform that integrates multiple recognition mechanisms working cooperatively for highly efficient guest identification is desired. Here, we designed a flexible porous coordination polymer (PCP) and realised a corrugated channel system that cooperatively responds to only target gas molecules by taking advantage of its stereochemical shape, location of binding sites, and structural softness. The binding sites and structural deformation act synergistically, exhibiting exclusive discrimination gating (EDG) effect for selective gate-opening adsorption of CO₂ over nine similar gas molecules, including N₂, CH₄, CO, O₂, H₂, Ar, C₂H₆, and even higher-affinity gases such as C₂H₂ and C₂H4. Combining in-situ crystallographic experiments with theoretical studies, it is clear that this unparalleled ability to decipher the CO₂ molecule is achieved through the coordination of framework dynamics, guest diffusion, and interaction energetics. Furthermore, the gas co-adsorption and breakthrough separation performance render the obtained PCP an efficient adsorbent for CO₂ capture from various gas mixtures.
Description: 二酸化炭素に対してのみゲートを開いて吸着する フレキシブル多孔性材料を開発. 京都大学プレスリリース. 2023-08-02.
Interactive networks for capturing gas with high selectivity. 京都大学プレスリリース. 2023-08-02.
Rights: © The Author(s) 2023
This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder.
DOI(Published Version): 10.1038/s41467-023-39470-w
PubMed ID: 37454124
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