Journal
CHEMISTRYSELECT
Volume 8, Issue 32, Pages -Publisher
WILEY-V C H VERLAG GMBH
DOI: 10.1002/slct.202302145
Keywords
Grand canonical Monte Carlo; H2S adsorption; Metal-organic frameworks; Molecular dynamics; Molecular simulation
Categories
Ask authors/readers for more resources
This study investigates mainstream metal-organic frameworks (MOFs) using molecular simulation techniques to improve H2S adsorption in confined spaces. The results show that the interaction energy and isosteric heat of adsorption are important for H2S adsorption performance. The regulation of open metal sites and the pore structure of MOFs also play a role in H2S capture. This study provides design strategies for high-performing MOFs in H2S adsorption.
Hydrogen sulfide (H2S) is a highly toxic, and flammable acid gas that is widely present in confined spaces. However, conventional adsorption materials are inefficient and have poor reuse properties. Metal-organic frameworks (MOFs) show potential viability as novel materials in gas adsorption. Herein, mainstream MOFs were investigated based on molecular simulation techniques to explore the differences contributing to H2S adsorption. The adsorption process of H2S in MOFs was simulated by Grand Canonical Monte Carlo (GCMC) method, and the diffusion behavior was investigated based on molecular dynamics (MD) simulations. The results showed that the interaction energy and isosteric heat of adsorption were important criteria for determining the adsorption performance of H2S. The regulation of open metal sites could help to further enhance the adsorption of H2S, and the pore structure of MOFs affected the capture of H2S. A higher self-diffusion rate implies faster H2S capture. Hydrogen bonds affect the trapping efficiency of MOFs for H2S and the relative positions of ligands in the benzene ring cause subtle differences in adsorption. This study provides design strategies for the improvement of new high-performing MOFs for H2S adsorption in confined spaces.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available