Functionalized 3D Covalent Organic Frameworks for High-Performance CO2 Capture and Separation over N2

Shuxian Wei, Huili Xin, Maohuai Wang*, Shengyu Xu, Wanru Zhai, Sen Liu, Lu Wang, Siyuan Liu, Zhaojie Wang, Xiaoqing Lu*

*Corresponding author for this work

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

13 Citations (Scopus)
112 Downloads (CityUHK Scholars)

Abstract

Covalent organic frameworks (COFs) are emerging adsorbent materials for CO2 capture and separation due to their tunable pore size, periodic permutation, and chemical thermal stability. Herein, four functionalized 3D COF-300s (COF-300-X, X = –SO3H, –NO2, –OH, and –NH2) for CO2 adsorption and separation are studied by using density functional theory and grand canonical Monte Carlo simulation. The results show that four functionalized COF-300s could create a feasible environment for CO2 adsorption with high accessible surface area, suitable pore size, and high porosity. The CO2 adsorption capacity in COF-300s could be significantly improved by functionalization. In comparison, the best performing COF-300-SO3H shows a superior CO2 adsorption capacity of 6.23 mmol g−1 and a high CO2/N2 selectivity of 393 at 298 K and 100 kPa. The adsorption heat and interaction analyses demonstrate that the CO2 affinity in COF-300s is enhanced by the introduction of polar functional groups, which renders great CO2 adsorption and separation performances. The gas distribution shows that the adsorption sites are concentrated near the functional groups and the distribution of CO2 in COF-300-SO3H has a characteristic of multilayer adsorptions. This work highlights COF-300-SO3H as an outperforming adsorbent candidate for CO2 capture and separation.
Original languageEnglish
Article number2200588
JournalAdvanced Theory and Simulations
Volume5
Issue number12
Online published11 Oct 2022
DOIs
Publication statusPublished - Dec 2022

Research Keywords

  • CO2 adsorption and separation
  • covalent organic frameworks
  • functionalization

Publisher's Copyright Statement

  • COPYRIGHT TERMS OF DEPOSITED POSTPRINT FILE: This is the peer reviewed version of the following article: Wei, S., Xin, H., Wang, M., Xu, S., Zhai, W., Liu, S., Wang, L., Liu, S., Wang, Z., & Lu, X. (2022). Functionalized 3D Covalent Organic Frameworks for High-Performance CO2 Capture and Separation over N2. Advanced Theory and Simulations, 5(12), Article 2200588, which has been published in final form at https://doi.org/10.1002/adts.202200588.
  • This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Use of Self-Archived Versions. This article may not be enhanced, enriched or otherwise transformed into a derivative work, without express permission from Wiley or by statutory rights under applicable legislation. Copyright notices must not be removed, obscured or modified. The article must be linked to Wiley’s version of record on Wiley Online Library and any embedding, framing or otherwise making available the article or pages thereof by third parties from platforms, services and websites other than Wiley Online Library must be prohibited.

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