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Adsorption Geometry of Alizarin on Silver Nanoparticles: A Computational and Spectroscopic Study

The knowledge of the adsorption geometry of an analyte on a metal substrate employed in surface enhanced Raman scattering (SERS) spectroscopy is important information for the correct interpretation of experimental data. The adsorption geometry of alizarin on silver nanoparticles was studied through...

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Detalles Bibliográficos
Autores principales: Gellini, Cristina, Macchiagodena, Marina, Pagliai, Marco
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8065795/
https://www.ncbi.nlm.nih.gov/pubmed/33801753
http://dx.doi.org/10.3390/nano11040860
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author Gellini, Cristina
Macchiagodena, Marina
Pagliai, Marco
author_facet Gellini, Cristina
Macchiagodena, Marina
Pagliai, Marco
author_sort Gellini, Cristina
collection PubMed
description The knowledge of the adsorption geometry of an analyte on a metal substrate employed in surface enhanced Raman scattering (SERS) spectroscopy is important information for the correct interpretation of experimental data. The adsorption geometry of alizarin on silver nanoparticles was studied through ab initio calculations in the framework of density functional theory (DFT) by modeling alizarin taking into account all the different charged species present in solution as a function of pH. The calculations allowed a faithful reproduction of the measured SERS spectra and to elucidate the adsorption geometry of this dye on the silver substrate.
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spelling pubmed-80657952021-04-25 Adsorption Geometry of Alizarin on Silver Nanoparticles: A Computational and Spectroscopic Study Gellini, Cristina Macchiagodena, Marina Pagliai, Marco Nanomaterials (Basel) Article The knowledge of the adsorption geometry of an analyte on a metal substrate employed in surface enhanced Raman scattering (SERS) spectroscopy is important information for the correct interpretation of experimental data. The adsorption geometry of alizarin on silver nanoparticles was studied through ab initio calculations in the framework of density functional theory (DFT) by modeling alizarin taking into account all the different charged species present in solution as a function of pH. The calculations allowed a faithful reproduction of the measured SERS spectra and to elucidate the adsorption geometry of this dye on the silver substrate. MDPI 2021-03-27 /pmc/articles/PMC8065795/ /pubmed/33801753 http://dx.doi.org/10.3390/nano11040860 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
Gellini, Cristina
Macchiagodena, Marina
Pagliai, Marco
Adsorption Geometry of Alizarin on Silver Nanoparticles: A Computational and Spectroscopic Study
title Adsorption Geometry of Alizarin on Silver Nanoparticles: A Computational and Spectroscopic Study
title_full Adsorption Geometry of Alizarin on Silver Nanoparticles: A Computational and Spectroscopic Study
title_fullStr Adsorption Geometry of Alizarin on Silver Nanoparticles: A Computational and Spectroscopic Study
title_full_unstemmed Adsorption Geometry of Alizarin on Silver Nanoparticles: A Computational and Spectroscopic Study
title_short Adsorption Geometry of Alizarin on Silver Nanoparticles: A Computational and Spectroscopic Study
title_sort adsorption geometry of alizarin on silver nanoparticles: a computational and spectroscopic study
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8065795/
https://www.ncbi.nlm.nih.gov/pubmed/33801753
http://dx.doi.org/10.3390/nano11040860
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