CO2 selective metal organic framework ZIF-8 modified through ionic liquid encapsulation: A computational study

Amro Mohamed, Panagiotis Krokidas, Ioannis Economou

Research output: Contribution to journalArticle

3 Citations (Scopus)

Abstract

Nano-scale porous solids are alternate candidates for CO2 handling towards the development of materials for post-combustion CO2 capture with low energy demands and milder operating conditions. Zeolitic imidazolate framework-8 (ZIF-8) is one of the most investigated Metal Organic Frameworks (MOFs) for separation of gas mixtures. In this work, we investigate a new approach of tailoring MOF separation efficiency, by confining pairs of [bmim+][Tf2N] ionic liquid (IL) in the cages of ZIF-8 (IL@ZIF-8). Molecular force fields, developed by the authors for both the ZIF-8 framework and the [bmim+][Tf2N] IL, are used in molecular simulations of the system. Monte Carlo simulations are used for sorption of CO2/CH4 and CO2/N2 mixtures computations. The results show an increase of the CO2 sorption due to the presence of the IL, which increases CO2 selectivity and capacity dramatically. Recently reported experiments agree with our findings. Moreover, we explore how CO2 selectivity and capacity varies with IL composition in the IL@ZIF-8 complex, as means to define an optimum IL composition in terms of the separation efficiency.

Original languageEnglish
Pages (from-to)183-191
Number of pages9
JournalJournal of Computational Science
Volume27
DOIs
Publication statusPublished - 1 Jul 2018

Fingerprint

Ionic Liquid
Encapsulation
Ionic liquids
Metals
Sorption
Selectivity
Molecular Simulation
Gas Mixture
Chemical analysis
Cage
Gas mixtures
Force Field
Framework
Combustion
Alternate
Monte Carlo Simulation
Vary
Energy

Keywords

  • CO capture
  • Ionic liquid
  • Separation
  • Simulations
  • ZIFs

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)
  • Modelling and Simulation

Cite this

CO2 selective metal organic framework ZIF-8 modified through ionic liquid encapsulation : A computational study. / Mohamed, Amro; Krokidas, Panagiotis; Economou, Ioannis.

In: Journal of Computational Science, Vol. 27, 01.07.2018, p. 183-191.

Research output: Contribution to journalArticle

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