Nucleation of water clusters on functionalised graphite with kinetic Monte Carlo scheme

Although activated carbon is generally hydrophobic, water can adsorb on its surface due to the presence of functional groups. During the initial interactions between functional groups and water molecules, atoms of the functional groups rotate around the sigma bonds to maximise the electrostatic inte...

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Main Authors: Tan, Johnathan Shiliang, Do, D. D., Chew, Jia Wei
Other Authors: School of Chemical and Biomedical Engineering
Format: Article
Language:English
Published: 2022
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Online Access:https://hdl.handle.net/10356/161992
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Institution: Nanyang Technological University
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spelling sg-ntu-dr.10356-1619922022-09-28T05:54:16Z Nucleation of water clusters on functionalised graphite with kinetic Monte Carlo scheme Tan, Johnathan Shiliang Do, D. D. Chew, Jia Wei School of Chemical and Biomedical Engineering Nanyang Environment and Water Research Institute Singapore Membrane Technology Centre Engineering::Chemical technology Adsorption Kinetic Monte Carlo Although activated carbon is generally hydrophobic, water can adsorb on its surface due to the presence of functional groups. During the initial interactions between functional groups and water molecules, atoms of the functional groups rotate around the sigma bonds to maximise the electrostatic interactions. This physical process was simulated within the framework of kinetic Monte Carlo (kMC). We extended kMC to account for the rotation of the atoms of functional groups around the sigma bonds by entropic sampling of the orientation space, and tested the modified kMC scheme for adsorption of water on graphite functionalised with either hydroxyl groups or carboxyl groups. Results show that the amount adsorbed is greater when the rotation of atoms around the sigma bonds is allowed. The interspacing of functional groups also affects the adsorbed density. It was found that the optimum distances between hydroxyl groups and carboxyl groups to initiate water cluster are 0.4 and 0.7 nm, respectively, because of the synergistic effect of electrostatic interactions between water molecule and adjacent functional groups. This effect is reduced when the spatial distance is either decreased (because of the increasing importance of the repulsion) or increased (because of the loss of the synergetic effect). Agency for Science, Technology and Research (A*STAR) Ministry of Education (MOE) This study was supported by A*STAR (Singapore) Advanced Manufacturing and Engineering (AME) under its Pharma Innovation Programme Singapore (PIPS) [A20B3a0070]; A*STAR (Singapore) Advanced Manufacturing and Engineering (AME) under its Individual Research Grant (IRG) program [A2083c0049]; the Singapore Ministry of Education Academic Research Tier 1 [grant numbers 2019-T1-002-065; RG100/19] and the Singapore Ministry of Education Academic Research Tier 2 [grant number MOE-MOET2EP10120-0001]. 2022-09-28T05:54:15Z 2022-09-28T05:54:15Z 2022 Journal Article Tan, J. S., Do, D. D. & Chew, J. W. (2022). Nucleation of water clusters on functionalised graphite with kinetic Monte Carlo scheme. Molecular Simulation, 48(13), 1202-1213. https://dx.doi.org/10.1080/08927022.2022.2075548 0892-7022 https://hdl.handle.net/10356/161992 10.1080/08927022.2022.2075548 2-s2.0-85130889151 13 48 1202 1213 en A20B3a0070 A2083c0049 2019-T1-002-065 RG100/19 MOE-MOET2EP10120-0001 Molecular Simulation © 2022 Informa UK Limited, trading as Taylor & Francis Group. All rights reserved.
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic Engineering::Chemical technology
Adsorption
Kinetic Monte Carlo
spellingShingle Engineering::Chemical technology
Adsorption
Kinetic Monte Carlo
Tan, Johnathan Shiliang
Do, D. D.
Chew, Jia Wei
Nucleation of water clusters on functionalised graphite with kinetic Monte Carlo scheme
description Although activated carbon is generally hydrophobic, water can adsorb on its surface due to the presence of functional groups. During the initial interactions between functional groups and water molecules, atoms of the functional groups rotate around the sigma bonds to maximise the electrostatic interactions. This physical process was simulated within the framework of kinetic Monte Carlo (kMC). We extended kMC to account for the rotation of the atoms of functional groups around the sigma bonds by entropic sampling of the orientation space, and tested the modified kMC scheme for adsorption of water on graphite functionalised with either hydroxyl groups or carboxyl groups. Results show that the amount adsorbed is greater when the rotation of atoms around the sigma bonds is allowed. The interspacing of functional groups also affects the adsorbed density. It was found that the optimum distances between hydroxyl groups and carboxyl groups to initiate water cluster are 0.4 and 0.7 nm, respectively, because of the synergistic effect of electrostatic interactions between water molecule and adjacent functional groups. This effect is reduced when the spatial distance is either decreased (because of the increasing importance of the repulsion) or increased (because of the loss of the synergetic effect).
author2 School of Chemical and Biomedical Engineering
author_facet School of Chemical and Biomedical Engineering
Tan, Johnathan Shiliang
Do, D. D.
Chew, Jia Wei
format Article
author Tan, Johnathan Shiliang
Do, D. D.
Chew, Jia Wei
author_sort Tan, Johnathan Shiliang
title Nucleation of water clusters on functionalised graphite with kinetic Monte Carlo scheme
title_short Nucleation of water clusters on functionalised graphite with kinetic Monte Carlo scheme
title_full Nucleation of water clusters on functionalised graphite with kinetic Monte Carlo scheme
title_fullStr Nucleation of water clusters on functionalised graphite with kinetic Monte Carlo scheme
title_full_unstemmed Nucleation of water clusters on functionalised graphite with kinetic Monte Carlo scheme
title_sort nucleation of water clusters on functionalised graphite with kinetic monte carlo scheme
publishDate 2022
url https://hdl.handle.net/10356/161992
_version_ 1745574658528247808