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Raman and Conductivity Analysis of Graphene for Biomedical Applications

In this study, we present a comprehensive investigation of graphene’s optical and conductive properties using confocal Raman and a Drude model. A comparative analysis between experimental findings and theoretical predictions of the material’s changes and improvements as it transitioned from three-di...

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Autores principales: Qiu, Chao, Bennet, Kevin E., Khan, Tamanna, Ciubuc, John D., Manciu, Felicia S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5457257/
https://www.ncbi.nlm.nih.gov/pubmed/28774016
http://dx.doi.org/10.3390/ma9110897
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author Qiu, Chao
Bennet, Kevin E.
Khan, Tamanna
Ciubuc, John D.
Manciu, Felicia S.
author_facet Qiu, Chao
Bennet, Kevin E.
Khan, Tamanna
Ciubuc, John D.
Manciu, Felicia S.
author_sort Qiu, Chao
collection PubMed
description In this study, we present a comprehensive investigation of graphene’s optical and conductive properties using confocal Raman and a Drude model. A comparative analysis between experimental findings and theoretical predictions of the material’s changes and improvements as it transitioned from three-dimensional graphite is also presented and discussed. Besides spectral recording by Raman, which reveals whether there is a single, a few, or multi-layers of graphene, the confocal Raman mapping allows for distinction of such domains and a direct visualization of material inhomogeneity. Drude model employment in the analysis of the far-infrared transmittance measurements demonstrates a distinct increase of the material’s conductivity with dimensionality reduction. Other particularly important material characteristics, including carrier concentration and time constant, were also determined using this model and presented here. Furthermore, the detection of micromolar concentration of dopamine on graphene surfaces not only proves that the Raman technique facilitates ultrasensitive chemical detection of analytes, besides offering high information content about the biomaterial under study, but also that carbon-based materials are biocompatible and favorable micro-environments for such detection. Such information is valuable for the development of bio-medical sensors, which is the main application envisioned for this analysis.
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spelling pubmed-54572572017-07-28 Raman and Conductivity Analysis of Graphene for Biomedical Applications Qiu, Chao Bennet, Kevin E. Khan, Tamanna Ciubuc, John D. Manciu, Felicia S. Materials (Basel) Article In this study, we present a comprehensive investigation of graphene’s optical and conductive properties using confocal Raman and a Drude model. A comparative analysis between experimental findings and theoretical predictions of the material’s changes and improvements as it transitioned from three-dimensional graphite is also presented and discussed. Besides spectral recording by Raman, which reveals whether there is a single, a few, or multi-layers of graphene, the confocal Raman mapping allows for distinction of such domains and a direct visualization of material inhomogeneity. Drude model employment in the analysis of the far-infrared transmittance measurements demonstrates a distinct increase of the material’s conductivity with dimensionality reduction. Other particularly important material characteristics, including carrier concentration and time constant, were also determined using this model and presented here. Furthermore, the detection of micromolar concentration of dopamine on graphene surfaces not only proves that the Raman technique facilitates ultrasensitive chemical detection of analytes, besides offering high information content about the biomaterial under study, but also that carbon-based materials are biocompatible and favorable micro-environments for such detection. Such information is valuable for the development of bio-medical sensors, which is the main application envisioned for this analysis. MDPI 2016-11-04 /pmc/articles/PMC5457257/ /pubmed/28774016 http://dx.doi.org/10.3390/ma9110897 Text en © 2016 by the authors. 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/).
spellingShingle Article
Qiu, Chao
Bennet, Kevin E.
Khan, Tamanna
Ciubuc, John D.
Manciu, Felicia S.
Raman and Conductivity Analysis of Graphene for Biomedical Applications
title Raman and Conductivity Analysis of Graphene for Biomedical Applications
title_full Raman and Conductivity Analysis of Graphene for Biomedical Applications
title_fullStr Raman and Conductivity Analysis of Graphene for Biomedical Applications
title_full_unstemmed Raman and Conductivity Analysis of Graphene for Biomedical Applications
title_short Raman and Conductivity Analysis of Graphene for Biomedical Applications
title_sort raman and conductivity analysis of graphene for biomedical applications
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5457257/
https://www.ncbi.nlm.nih.gov/pubmed/28774016
http://dx.doi.org/10.3390/ma9110897
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