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Palladium, Iridium, and Rhodium Supported Catalysts: Predictive H(2) Chemisorption by Statistical Cuboctahedron Clusters Model
Chemisorption of hydrogen on metallic particles is often used to estimate the metal dispersion (D), the metal particle size (d), and the metallic specific surface area (S(M)), currently assuming a stoichiometry of one hydrogen atom H adsorbed per surface metal atom M. This assumption leads to a larg...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5978196/ https://www.ncbi.nlm.nih.gov/pubmed/29772729 http://dx.doi.org/10.3390/ma11050819 |
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author | Drault, Fabien Comminges, Clément Can, Fabien Pirault-Roy, Laurence Epron, Florence Le Valant, Anthony |
author_facet | Drault, Fabien Comminges, Clément Can, Fabien Pirault-Roy, Laurence Epron, Florence Le Valant, Anthony |
author_sort | Drault, Fabien |
collection | PubMed |
description | Chemisorption of hydrogen on metallic particles is often used to estimate the metal dispersion (D), the metal particle size (d), and the metallic specific surface area (S(M)), currently assuming a stoichiometry of one hydrogen atom H adsorbed per surface metal atom M. This assumption leads to a large error when estimating D, d, and S(M), and a rigorous method is needed to tackle this problem. A model describing the statistics of the metal surface atom and site distribution on perfect cuboctahedron clusters, already developed for Pt, is applied to Pd, Ir, and Rh, using the density functional theory (DFT) calculation of the literature to determine the most favorable adsorption sites for each metal. The model predicts the H/M values for each metal, in the range 0–1.08 for Pd, 0–2.77 for Ir, and 0–2.31 for Rh, depending on the particle size, clearly showing that the hypothesis of H/M = 1 is not always confirmed. A set of equations is then given for precisely calculating D, d, and S(M) for each metal directly from the H chemisorption results determined experimentally, without any assumption about the H/M stoichiometry. This methodology provides a powerful tool for accurate determination of metal dispersion, metal particle size, and metallic specific surface area from chemisorption experiments. |
format | Online Article Text |
id | pubmed-5978196 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-59781962018-05-31 Palladium, Iridium, and Rhodium Supported Catalysts: Predictive H(2) Chemisorption by Statistical Cuboctahedron Clusters Model Drault, Fabien Comminges, Clément Can, Fabien Pirault-Roy, Laurence Epron, Florence Le Valant, Anthony Materials (Basel) Article Chemisorption of hydrogen on metallic particles is often used to estimate the metal dispersion (D), the metal particle size (d), and the metallic specific surface area (S(M)), currently assuming a stoichiometry of one hydrogen atom H adsorbed per surface metal atom M. This assumption leads to a large error when estimating D, d, and S(M), and a rigorous method is needed to tackle this problem. A model describing the statistics of the metal surface atom and site distribution on perfect cuboctahedron clusters, already developed for Pt, is applied to Pd, Ir, and Rh, using the density functional theory (DFT) calculation of the literature to determine the most favorable adsorption sites for each metal. The model predicts the H/M values for each metal, in the range 0–1.08 for Pd, 0–2.77 for Ir, and 0–2.31 for Rh, depending on the particle size, clearly showing that the hypothesis of H/M = 1 is not always confirmed. A set of equations is then given for precisely calculating D, d, and S(M) for each metal directly from the H chemisorption results determined experimentally, without any assumption about the H/M stoichiometry. This methodology provides a powerful tool for accurate determination of metal dispersion, metal particle size, and metallic specific surface area from chemisorption experiments. MDPI 2018-05-16 /pmc/articles/PMC5978196/ /pubmed/29772729 http://dx.doi.org/10.3390/ma11050819 Text en © 2018 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 Drault, Fabien Comminges, Clément Can, Fabien Pirault-Roy, Laurence Epron, Florence Le Valant, Anthony Palladium, Iridium, and Rhodium Supported Catalysts: Predictive H(2) Chemisorption by Statistical Cuboctahedron Clusters Model |
title | Palladium, Iridium, and Rhodium Supported Catalysts: Predictive H(2) Chemisorption by Statistical Cuboctahedron Clusters Model |
title_full | Palladium, Iridium, and Rhodium Supported Catalysts: Predictive H(2) Chemisorption by Statistical Cuboctahedron Clusters Model |
title_fullStr | Palladium, Iridium, and Rhodium Supported Catalysts: Predictive H(2) Chemisorption by Statistical Cuboctahedron Clusters Model |
title_full_unstemmed | Palladium, Iridium, and Rhodium Supported Catalysts: Predictive H(2) Chemisorption by Statistical Cuboctahedron Clusters Model |
title_short | Palladium, Iridium, and Rhodium Supported Catalysts: Predictive H(2) Chemisorption by Statistical Cuboctahedron Clusters Model |
title_sort | palladium, iridium, and rhodium supported catalysts: predictive h(2) chemisorption by statistical cuboctahedron clusters model |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5978196/ https://www.ncbi.nlm.nih.gov/pubmed/29772729 http://dx.doi.org/10.3390/ma11050819 |
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