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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...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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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. |
format | Online Article Text |
id | pubmed-8065795 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
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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