Universidad Peruana Cayetano Heredia

The separation performance of porous carbon nitride membranes for removal of nitrate and nitrite ions from contaminated aqueous solutions: A molecular dynamics study

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dc.contributor.author Majidi, S.
dc.contributor.author Erfan-Niya, H.
dc.contributor.author Azamat, J.
dc.contributor.author Cruz-Chú, Eduardo R.
dc.contributor.author Walther, J.H.
dc.date.accessioned 2022-11-15T23:04:38Z
dc.date.available 2022-11-15T23:04:38Z
dc.date.issued 2022
dc.identifier.uri https://hdl.handle.net/20.500.12866/12551
dc.description.abstract Two-dimensional nanoporous carbon-based membrane has proved to be a promising reverse osmosis (RO) membrane for contaminated ions separation from water. In this study, molecular dynamics simulations are conducted to assess the performance of C2N and g-C3N4 nanosheets for the separation of nitrate and nitrite pollutants from aqueous solution. The nitrate and nitrite rejection were obtained 100 % for both membranes at high pressures, with water fluxes of 25.38 L/cm2DayMPa and 9.13 L/cm2DayMPa through C2N and g-C3N4 membranes, respectively. We observed that the water self-diffusivity increased 3 times in the presence of the C2N and g-C3N4 nonporous membrane, due to the hydrophilic structure of these membranes. The results of potential of the mean force (PMF) for nitrate and nitrite ions confirm the high ions rejection capability of these membranes at high pressure, where hydrogen bonding dynamics enhances water flux. en_US
dc.language.iso eng
dc.publisher Elsevier
dc.relation.ispartofseries Colloids and Surfaces A: Physicochemical and Engineering Aspects
dc.rights info:eu-repo/semantics/restrictedAccess
dc.rights.uri https://creativecommons.org/licenses/by-nc-nd/4.0/deed.es
dc.subject Carbon nitride en_US
dc.subject Reverse osmosis en_US
dc.subject Nitrate ions en_US
dc.subject Molecular dynamics en_US
dc.title The separation performance of porous carbon nitride membranes for removal of nitrate and nitrite ions from contaminated aqueous solutions: A molecular dynamics study en_US
dc.type info:eu-repo/semantics/article
dc.identifier.doi https://doi.org/10.1016/j.colsurfa.2022.130208
dc.relation.issn 1873-4359


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