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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...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Chemical Society
2021
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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 |
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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 |
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