Published April 2018 | Version v1
Journal article

Effective enhancement on methanol adsorption in Cu-BTC by combination of lithium-doping and nitrogen-doping functionalization

  • 1. South China University of Technology, School of Chemistry and Chemical Engineering (China)

Description

Grand canonical Monte Carlo method (GCMC) simulation combined with density functional theory calculation was used to investigate the adsorption in Cu-BTC, with nitrogen- and lithium-doping functionalization in order to understand the underlying performance of MOFs in methanol adsorption. A new N-doping structure, 3N–CuBTC, was theoretically constructed by replacing the carbon atoms with hydrogen connection in the organic linkers by nitrogen atoms. 3N–CuBTC shows higher methanol capacity in the measured pressure range due to the increased dispersive interactions caused by the lone electron pair of nitrogen atoms. Another Li-doping structure, 3Li–3N–CuBTC, was fabricated by doping Li atoms on the base of 3N–CuBTC. 3Li–3N–CuBTC demonstrated higher methanol capacity due to the stronger interaction between the induced Li atoms and methanol molecules. Furthermore, these two results can be attributed to the new adsorption sites created by N- and Li-doping, as revealed by the more exothermic binding energies on N-sites (− 49.37 kJ mol−1) and Li-sites (− 122.28 kJ mol−1) than Cu-sites (− 40.62 kJ mol−1). According to the simulation results, it can be concluded that both functionalized Cu-BTCs are capable of enhancing the methanol adsorption capacity of the framework at pressure from 0 to 14 kPa at 298 K.

Additional details

Identifiers

Publishing Information

Journal Title
Journal of Materials Science
Journal Volume
53
Journal Issue
8
Journal Page Range
p. 6080-6093
ISSN
0022-2461
CODEN
JMTSAS

INIS

Country of Publication
United Kingdom
Country of Input or Organization
International Atomic Energy Agency (IAEA)
INIS RN
49105729
Subject category
S36: MATERIALS SCIENCE;
Descriptors DEI
ADSORPTION; ATOMS; BINDING ENERGY; CAPACITY; DENSITY FUNCTIONAL METHOD; DOPED MATERIALS; METHANOL; MONTE CARLO METHOD
Descriptors DEC
ALCOHOLS; CALCULATION METHODS; ENERGY; HYDROXY COMPOUNDS; MATERIALS; ORGANIC COMPOUNDS; SORPTION; VARIATIONAL METHODS

Optional Information

Copyright
Copyright (c) 2018 Springer Science+Business Media, LLC
Notes
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