Cargando…

Shedding Light on Miniaturized Dialysis Using MXene 2D Materials: A Computational Chemistry Approach

[Image: see text] Materials science can pave the way toward developing novel devices at the service of human life. In recent years, computational materials engineering has been promising in predicting material performance prior to the experiments. Herein, this capability has been carefully employed...

Descripción completa

Detalles Bibliográficos
Autores principales: Zandi, Pegah, Ghasemy, Ebrahim, Khedri, Mohammad, Rashidi, Alimorad, Maleki, Reza, Miri Jahromi, Ahmad
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Chemical Society 2021
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7948252/
https://www.ncbi.nlm.nih.gov/pubmed/33718722
http://dx.doi.org/10.1021/acsomega.0c06118
_version_ 1783663378598723584
author Zandi, Pegah
Ghasemy, Ebrahim
Khedri, Mohammad
Rashidi, Alimorad
Maleki, Reza
Miri Jahromi, Ahmad
author_facet Zandi, Pegah
Ghasemy, Ebrahim
Khedri, Mohammad
Rashidi, Alimorad
Maleki, Reza
Miri Jahromi, Ahmad
author_sort Zandi, Pegah
collection PubMed
description [Image: see text] Materials science can pave the way toward developing novel devices at the service of human life. In recent years, computational materials engineering has been promising in predicting material performance prior to the experiments. Herein, this capability has been carefully employed to tackle severe problems associated with kidney diseases through proposing novel nanolayers to adsorb urea and accordingly causing the wearable artificial kidney (WAK) to be viable. The two-dimensional metal carbide and nitride (MXene) nanosheets can leverage the performance of various devices since they are highly tunable along with fascinating surface chemistry properties. In this study, molecular dynamics (MD) simulations were exploited to investigate the interactions between urea and different MXene nanosheets. To this end, detailed analyses were performed that clarify the suitability of these nanostructures in urea adsorption. The atomistic simulations were carried out on Mn(2)C, Cd(2)C, Cu(2)C, Ti(2)C, W(2)C, Ta(2)C, and urea to determine the most appropriate urea-removing adsorbent. It was found that Cd(2)C was more efficient followed by Mn(2)C, which can be effectively exploited in WAK devices at the service of human health.
format Online
Article
Text
id pubmed-7948252
institution National Center for Biotechnology Information
language English
publishDate 2021
publisher American Chemical Society
record_format MEDLINE/PubMed
spelling pubmed-79482522021-03-12 Shedding Light on Miniaturized Dialysis Using MXene 2D Materials: A Computational Chemistry Approach Zandi, Pegah Ghasemy, Ebrahim Khedri, Mohammad Rashidi, Alimorad Maleki, Reza Miri Jahromi, Ahmad ACS Omega [Image: see text] Materials science can pave the way toward developing novel devices at the service of human life. In recent years, computational materials engineering has been promising in predicting material performance prior to the experiments. Herein, this capability has been carefully employed to tackle severe problems associated with kidney diseases through proposing novel nanolayers to adsorb urea and accordingly causing the wearable artificial kidney (WAK) to be viable. The two-dimensional metal carbide and nitride (MXene) nanosheets can leverage the performance of various devices since they are highly tunable along with fascinating surface chemistry properties. In this study, molecular dynamics (MD) simulations were exploited to investigate the interactions between urea and different MXene nanosheets. To this end, detailed analyses were performed that clarify the suitability of these nanostructures in urea adsorption. The atomistic simulations were carried out on Mn(2)C, Cd(2)C, Cu(2)C, Ti(2)C, W(2)C, Ta(2)C, and urea to determine the most appropriate urea-removing adsorbent. It was found that Cd(2)C was more efficient followed by Mn(2)C, which can be effectively exploited in WAK devices at the service of human health. American Chemical Society 2021-02-25 /pmc/articles/PMC7948252/ /pubmed/33718722 http://dx.doi.org/10.1021/acsomega.0c06118 Text en © 2021 The Authors. Published by American Chemical Society This is an open access article published under an ACS AuthorChoice License (https://creativecommons.org/licenses/by-nc-nd/4.0/) , which permits copying and redistribution of the article or any adaptations for non-commercial purposes.
spellingShingle Zandi, Pegah
Ghasemy, Ebrahim
Khedri, Mohammad
Rashidi, Alimorad
Maleki, Reza
Miri Jahromi, Ahmad
Shedding Light on Miniaturized Dialysis Using MXene 2D Materials: A Computational Chemistry Approach
title Shedding Light on Miniaturized Dialysis Using MXene 2D Materials: A Computational Chemistry Approach
title_full Shedding Light on Miniaturized Dialysis Using MXene 2D Materials: A Computational Chemistry Approach
title_fullStr Shedding Light on Miniaturized Dialysis Using MXene 2D Materials: A Computational Chemistry Approach
title_full_unstemmed Shedding Light on Miniaturized Dialysis Using MXene 2D Materials: A Computational Chemistry Approach
title_short Shedding Light on Miniaturized Dialysis Using MXene 2D Materials: A Computational Chemistry Approach
title_sort shedding light on miniaturized dialysis using mxene 2d materials: a computational chemistry approach
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7948252/
https://www.ncbi.nlm.nih.gov/pubmed/33718722
http://dx.doi.org/10.1021/acsomega.0c06118
work_keys_str_mv AT zandipegah sheddinglightonminiaturizeddialysisusingmxene2dmaterialsacomputationalchemistryapproach
AT ghasemyebrahim sheddinglightonminiaturizeddialysisusingmxene2dmaterialsacomputationalchemistryapproach
AT khedrimohammad sheddinglightonminiaturizeddialysisusingmxene2dmaterialsacomputationalchemistryapproach
AT rashidialimorad sheddinglightonminiaturizeddialysisusingmxene2dmaterialsacomputationalchemistryapproach
AT malekireza sheddinglightonminiaturizeddialysisusingmxene2dmaterialsacomputationalchemistryapproach
AT mirijahromiahmad sheddinglightonminiaturizeddialysisusingmxene2dmaterialsacomputationalchemistryapproach