Screening and preparation of functionalized TpBD-COFs for CO2 capture

Qinghua Qu, Yuqiao Jiang, Linyan Cheng, Qingyuan Xue, Ranran Li, Cheng Fang, Hongping Li, Jing Ding, Hui Wan, Guofeng Guan

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4 Scopus citations

Abstract

Covalent organic frameworks (COFs) with high specific surface area, ordered pore wall, modified porous surface and customizable chemical structure have been widely used in CO2 capture. However, the screening of functionalized COFs suitable for CO2 capture still relies on experiments, which will require a long experimental period with blindness and randomness. Herein, we chosed three electron withdrawing groups (–NO2, –CN and −Br) and three electron donating groups (–CH2NH2, –CH3, –OCH3) to explore the effect of electron withdrawing ability of functional groups on the CO2 adsorption capacity. Grand canonical Monte Carlo (GCMC) method was used to simulate the adsorption capacity of CO2 over X-TpBD-COFs (X=–NO2, –CN, −Br, –CH2NH2, –CH3, –OCH3). As the result, NO2-TpBD-COF had the highest adsorption capacity among the six functionalized X-TpBD-COFs at 100 kPa and 25 ℃ (49.37 cm3/g), while OCH3-TpBD-COF had the lowest adsorption capacity among them (23.51 cm3/g at 25 ℃ and 100 kPa). The order of binding energy was basically the same as the order of adsorption capacity when the synergistic interactions between functional groups and oxygen atoms in Tp were considered according to density functional theory (DFT). Molecular dynamics (MD) showed that the diffusion and distribution of CO2 were mainly effected by pore structures. To verify the simulation results, NO2-TpBD-COF and OCH3-TpBD-COF were successfully prepared by solvothermal method. The CO2 adsorption capacities of these two COFs were basically consistent with the conclusion obtained by the simulations. This study provided a way for simulation to guide accurate and rapid experimental design of COF materials for CO2 capture.

Original languageEnglish
Article number120702
JournalChemical Engineering Science
Volume301
DOIs
StatePublished - 5 Jan 2025

Keywords

  • CO capture
  • Density functional theory
  • Grand canonical Monte Carlo
  • Molecular dynamic
  • TpBD-COF

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