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Quantum Simulation of the Silicene and Germanene for Sensing and Sequencing of DNA/RNA Nucleobases

Over the last decade, we have been witnessing the rise of two-dimensional (2D) materials. Several 2D materials with outstanding properties have been theoretically predicted and experimentally synthesized. 2D materials are good candidates for sensing and detecting various biomolecules because of thei...

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Autores principales: Gürel, Hikmet Hakan, Salmankurt, Bahadır
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7996300/
https://www.ncbi.nlm.nih.gov/pubmed/33668284
http://dx.doi.org/10.3390/bios11030059
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author Gürel, Hikmet Hakan
Salmankurt, Bahadır
author_facet Gürel, Hikmet Hakan
Salmankurt, Bahadır
author_sort Gürel, Hikmet Hakan
collection PubMed
description Over the last decade, we have been witnessing the rise of two-dimensional (2D) materials. Several 2D materials with outstanding properties have been theoretically predicted and experimentally synthesized. 2D materials are good candidates for sensing and detecting various biomolecules because of their extraordinary properties, such as a high surface-to-volume ratio. Silicene and germanene are the monolayer honeycomb structures of silicon and germanium, respectively. Quantum simulations have been very effective in understanding the interaction mechanism of 2D materials and biomolecules and may play an important role in the development of effective and reliable biosensors. This article focuses on understanding the interaction of DNA/RNA nucleobases with silicene and germanane monolayers and obtaining the possibility of using silicene and germanane monolayers as a biosensor for DNA/RNA nucleobases’ sequencing using the first principle of Density Functional Theory (DFT) calculations with van der Waals (vdW) correction and nonequilibrium Green’s function method. Guanine (G), Cytosine (C), Adenine (A), Thymine (T), and Uracil (U) were examined as the analytes. The strength of adsorption between the DNA/RNA nucleobases and silicene and germanane is G > C > A > T > U. Moreover, our recent work on the investigation of Au- and Li-decorated silicene and germanane for detection of DNA/RNA nucleobases is presented. Our results show that it is possible to get remarkable changes in transmittance due to the adsorption of nucleobases, especially for G, A, and C. These results indicate that silicene and germanene are both good candidates for the applications in fast sequencing devices for DNA/RNA nucleobases. Additionally, our present results have the potential to give insight into experimental studies and can be valuable for advancements in biosensing and nanobiotechnology.
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spelling pubmed-79963002021-03-27 Quantum Simulation of the Silicene and Germanene for Sensing and Sequencing of DNA/RNA Nucleobases Gürel, Hikmet Hakan Salmankurt, Bahadır Biosensors (Basel) Article Over the last decade, we have been witnessing the rise of two-dimensional (2D) materials. Several 2D materials with outstanding properties have been theoretically predicted and experimentally synthesized. 2D materials are good candidates for sensing and detecting various biomolecules because of their extraordinary properties, such as a high surface-to-volume ratio. Silicene and germanene are the monolayer honeycomb structures of silicon and germanium, respectively. Quantum simulations have been very effective in understanding the interaction mechanism of 2D materials and biomolecules and may play an important role in the development of effective and reliable biosensors. This article focuses on understanding the interaction of DNA/RNA nucleobases with silicene and germanane monolayers and obtaining the possibility of using silicene and germanane monolayers as a biosensor for DNA/RNA nucleobases’ sequencing using the first principle of Density Functional Theory (DFT) calculations with van der Waals (vdW) correction and nonequilibrium Green’s function method. Guanine (G), Cytosine (C), Adenine (A), Thymine (T), and Uracil (U) were examined as the analytes. The strength of adsorption between the DNA/RNA nucleobases and silicene and germanane is G > C > A > T > U. Moreover, our recent work on the investigation of Au- and Li-decorated silicene and germanane for detection of DNA/RNA nucleobases is presented. Our results show that it is possible to get remarkable changes in transmittance due to the adsorption of nucleobases, especially for G, A, and C. These results indicate that silicene and germanene are both good candidates for the applications in fast sequencing devices for DNA/RNA nucleobases. Additionally, our present results have the potential to give insight into experimental studies and can be valuable for advancements in biosensing and nanobiotechnology. MDPI 2021-02-24 /pmc/articles/PMC7996300/ /pubmed/33668284 http://dx.doi.org/10.3390/bios11030059 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) ).
spellingShingle Article
Gürel, Hikmet Hakan
Salmankurt, Bahadır
Quantum Simulation of the Silicene and Germanene for Sensing and Sequencing of DNA/RNA Nucleobases
title Quantum Simulation of the Silicene and Germanene for Sensing and Sequencing of DNA/RNA Nucleobases
title_full Quantum Simulation of the Silicene and Germanene for Sensing and Sequencing of DNA/RNA Nucleobases
title_fullStr Quantum Simulation of the Silicene and Germanene for Sensing and Sequencing of DNA/RNA Nucleobases
title_full_unstemmed Quantum Simulation of the Silicene and Germanene for Sensing and Sequencing of DNA/RNA Nucleobases
title_short Quantum Simulation of the Silicene and Germanene for Sensing and Sequencing of DNA/RNA Nucleobases
title_sort quantum simulation of the silicene and germanene for sensing and sequencing of dna/rna nucleobases
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7996300/
https://www.ncbi.nlm.nih.gov/pubmed/33668284
http://dx.doi.org/10.3390/bios11030059
work_keys_str_mv AT gurelhikmethakan quantumsimulationofthesiliceneandgermaneneforsensingandsequencingofdnarnanucleobases
AT salmankurtbahadır quantumsimulationofthesiliceneandgermaneneforsensingandsequencingofdnarnanucleobases