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Salt separation from water using graphene oxide nanochannels: A molecular dynamics simulation study

Title
Salt separation from water using graphene oxide nanochannels: A molecular dynamics simulation study
Type
Article in International Scientific Journal
Year
2019
Authors
Giri, AK
(Author)
Other
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Teixeira, F
(Author)
Other
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Natalia N D S Cordeiro
(Author)
FCUP
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Journal
Title: DesalinationImported from Authenticus Search for Journal Publications
Vol. 460
Pages: 1-14
ISSN: 0011-9164
Publisher: Elsevier
Other information
Authenticus ID: P-00Q-EVR
Abstract (EN): Recently, water transport through graphene oxide (GO) nanochannels has gained much attention because of its potential applications in desalination and water filtration. In this work, molecular dynamics (MD) simulations were carried out to elucidate the filtration efficiency and water structure in GO nanochannels of varying oxidation degree (from 0% to 40%) and interlayer spacing (from 0.6 nm to 1.0 nm). The results from these simulations show that ion permeation is observed in 1.0 nm channels, but ion rejection is close to complete for the narrower channels, irrespective of the degree of oxidation. Furthermore, water permeation increases with increasing interlayer separation and decreases with increasing oxidation degree. In general, water molecules prefer flowing through unoxidized regions of the narrower channels, but show no preferential path when flowing through the wider ones. Moreover, the analysis of the interaction between water molecules and the hydroxyl groups inside the GO channel shows that OH groups play a vital role disrupting the solvation sphere of the salt ions. However, with increasing oxidation of the GO wall, the formation of intra-layer hydrogen bonds becomes relevant, decreasing the overall number of hydrogen bonds involving water molecules, and thus preventing further decrease of the water permeance. To sum up, our results indicate that the best GO channel for the desalination is the one with interlayer spacing 0.8 nm and oxidation degree of 10% or lower.
Language: English
Type (Professor's evaluation): Scientific
No. of pages: 14
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