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Outstanding Performance of Transition-Metal-Decorated Single-Layer Graphene-like BC(6)N Nanosheets for Disease Biomarker Detection in Human Breath

[Image: see text] In the present work, we report highly sensitive and selective nanosensors constructed with metal-decorated graphene-like BC(6)N employing nonequilibrium Green’s function (NEGF) formalism combined by density functional theory (DFT) toward multiple inorganic and sulfur-containing gas...

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Autores principales: Aasi, Aref, Mehdi Aghaei, Sadegh, Panchapakesan, Balaji
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Chemical Society 2021
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7905814/
https://www.ncbi.nlm.nih.gov/pubmed/33644577
http://dx.doi.org/10.1021/acsomega.0c05495
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author Aasi, Aref
Mehdi Aghaei, Sadegh
Panchapakesan, Balaji
author_facet Aasi, Aref
Mehdi Aghaei, Sadegh
Panchapakesan, Balaji
author_sort Aasi, Aref
collection PubMed
description [Image: see text] In the present work, we report highly sensitive and selective nanosensors constructed with metal-decorated graphene-like BC(6)N employing nonequilibrium Green’s function (NEGF) formalism combined by density functional theory (DFT) toward multiple inorganic and sulfur-containing gas molecules (NO, NO(2), NH(3), CO, CO(2), H(2)S, and SO(2)) as disease biomarkers from human breath. Monolayer sheets of pristine BC(6)N and Pd-decorated BC(6)N were evaluated for their gas adsorption properties, electronic property changes, sensitivity, and selectivity toward disease biomarkers. The pristine BC(6)N nanosheets exhibited sharp drops in the bandgap when interacted with gases such as NO(2) while barely affected by other gases. However, the nanosecond recovery time and low adsorption energies limit the gas sensing applications of the pristine BC(6)N sheet. On the other hand, the Pd-decorated BC(6)N-based sensor underwent a semiconductor to metal transition upon the adsorption of NO(x) gas molecules. The conductance change of the sensor’s material in terms of I–V characteristics revealed that the Pd-decorated BC(6)N sensor is highly sensitive (98.6–134%) and selective (12.3–74.4 times) toward NO(x) gas molecules with a recovery time of 270 s under UV radiation at 498 K while weakly interacting with interfering gases in exhaled breath such as CO(2) and H(2)O. The gas adsorption behavior suggests that metal-decorated BC(6)N sensors are excellent candidates for analyzing pulmonary disease and cardiovascular biomarkers, among other ailments of the stomach, kidney, and intestine.
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spelling pubmed-79058142021-02-26 Outstanding Performance of Transition-Metal-Decorated Single-Layer Graphene-like BC(6)N Nanosheets for Disease Biomarker Detection in Human Breath Aasi, Aref Mehdi Aghaei, Sadegh Panchapakesan, Balaji ACS Omega [Image: see text] In the present work, we report highly sensitive and selective nanosensors constructed with metal-decorated graphene-like BC(6)N employing nonequilibrium Green’s function (NEGF) formalism combined by density functional theory (DFT) toward multiple inorganic and sulfur-containing gas molecules (NO, NO(2), NH(3), CO, CO(2), H(2)S, and SO(2)) as disease biomarkers from human breath. Monolayer sheets of pristine BC(6)N and Pd-decorated BC(6)N were evaluated for their gas adsorption properties, electronic property changes, sensitivity, and selectivity toward disease biomarkers. The pristine BC(6)N nanosheets exhibited sharp drops in the bandgap when interacted with gases such as NO(2) while barely affected by other gases. However, the nanosecond recovery time and low adsorption energies limit the gas sensing applications of the pristine BC(6)N sheet. On the other hand, the Pd-decorated BC(6)N-based sensor underwent a semiconductor to metal transition upon the adsorption of NO(x) gas molecules. The conductance change of the sensor’s material in terms of I–V characteristics revealed that the Pd-decorated BC(6)N sensor is highly sensitive (98.6–134%) and selective (12.3–74.4 times) toward NO(x) gas molecules with a recovery time of 270 s under UV radiation at 498 K while weakly interacting with interfering gases in exhaled breath such as CO(2) and H(2)O. The gas adsorption behavior suggests that metal-decorated BC(6)N sensors are excellent candidates for analyzing pulmonary disease and cardiovascular biomarkers, among other ailments of the stomach, kidney, and intestine. American Chemical Society 2021-02-05 /pmc/articles/PMC7905814/ /pubmed/33644577 http://dx.doi.org/10.1021/acsomega.0c05495 Text en © 2021 The Authors. Published by American Chemical Society Permits non-commercial access and re-use, provided that author attribution and integrity are maintained; but does not permit creation of adaptations or other derivative works (https://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Aasi, Aref
Mehdi Aghaei, Sadegh
Panchapakesan, Balaji
Outstanding Performance of Transition-Metal-Decorated Single-Layer Graphene-like BC(6)N Nanosheets for Disease Biomarker Detection in Human Breath
title Outstanding Performance of Transition-Metal-Decorated Single-Layer Graphene-like BC(6)N Nanosheets for Disease Biomarker Detection in Human Breath
title_full Outstanding Performance of Transition-Metal-Decorated Single-Layer Graphene-like BC(6)N Nanosheets for Disease Biomarker Detection in Human Breath
title_fullStr Outstanding Performance of Transition-Metal-Decorated Single-Layer Graphene-like BC(6)N Nanosheets for Disease Biomarker Detection in Human Breath
title_full_unstemmed Outstanding Performance of Transition-Metal-Decorated Single-Layer Graphene-like BC(6)N Nanosheets for Disease Biomarker Detection in Human Breath
title_short Outstanding Performance of Transition-Metal-Decorated Single-Layer Graphene-like BC(6)N Nanosheets for Disease Biomarker Detection in Human Breath
title_sort outstanding performance of transition-metal-decorated single-layer graphene-like bc(6)n nanosheets for disease biomarker detection in human breath
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7905814/
https://www.ncbi.nlm.nih.gov/pubmed/33644577
http://dx.doi.org/10.1021/acsomega.0c05495
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