Tetralin Hydrogenation over Ir-Pt/SBA-15. Optimization by experimental desing.
- Autores
- Vallés , Verónica Alejandra; Ledesma , Brenda Cecilia; Rivoira , Lorena Paola; Cussa , jorgelina; Anunziata , Oscar Alfredo; Beltramone , Andrea Raquel; Anunziata , Oscar Alfredo; Cussa , jorgelina; Rivoira , Lorena Paola; Ledesma , Brenda Cecilia
- Año de publicación
- 2015
- Idioma
- inglés
- Tipo de recurso
- artículo
- Estado
- versión aceptada
- Descripción
- Bimetallic catalysts have received considerable attention for hydrotreating (HDT) because they show high activity. The features of the catalysts here studied are going to be correlated with their catalytic performance in the hydrogenation of tetralin at mild conditions. The final goal is to find the optimal proportion of each metal in order to be more active and the best reaction conditions (temperature and amount of catalyst). The statistical experiments design is the process of planning an experiment to obtain appropriate data that can be analyzed by statistical methods, to produce concrete and valid conclusions. One of the main advantages in the response curve is to visualize the response for all levels of the experimental factors Experiment design response surface methodology (RSM) is used in this work to model and to optimize the process. Platinum and Iridium nanoparticles were incorporated into SBA-15 support by the wet co impregnation method. Ir content was set as 1wt. % and Pt was varied from 0 to 1wt. %. The catalysts were characterized by XRD, BET, XPS, TEM, ICP and TPR. XRD profiles are characteristic of the two-dimensional p6mm hexagonal mesostructure with d100 spacing of 10.16 nm; where the d100 spacing upon Ir and Pt incorporation were quite similar to pristine SBA-15. The TEM images and XPS demonstrate that the metal particles were mainly present inside the porous and XPS and TPR corroborated the reduced state of the metals. The catalytic activity was measured in a 4563Parr reactor at 15 atm of hydrogen and 360 rpm. Feed consisted in 50 mL of tetralin in Dodecane, the amount of tetralin is set according to the ratio of catalyst mass/mass reagent corresponding to each reaction. The application of this methodology allows a better understanding of the influence of the different factors: content of metal on catalyst (A), relationship: mass of catalyst/reagent mass (B) and reaction temperature (C), on two responses: conversion at 3 h and at 5 h of reaction time. These factors were carefully selected taking account the influence of the parameters in the reaction. The design was analyzed by Statgraphics and Statistica Soft. We found that, the variable Catalyst has the best influence over the Conversion at the 95.0% confidence level, according to the Pareto.
Fil: Vallés, Verónica Alejandra. Universidad Tecnológica Nacional. Facultad Regional Córdoba. Centro de Investigación Nanociencia y Nanotecnología; Argentina.
Fil: Ledesma, Brenda Cecilia. Universidad Tecnológica Nacional. Facultad Regional Córdoba. Centro de Investigación Nanociencia y Nanotecnología; Argentina.
Fil: Rivoira, Lorena Paola. Universidad Tecnológica Nacional. Facultad Regional Córdoba. Centro de Investigación Nanociencia y Nanotecnología; Argentina.
Fil: Cussa, Jorgelina. Universidad Tecnológica Nacional. Facultad Regional Córdoba. Centro de Investigación Nanociencia y Nanotecnología; Argentina.
Fil: Anunziata, Oscar Alfredo. Universidad Tecnológica Nacional. Facultad Regional Córdoba. Centro de Investigación Nanociencia y Nanotecnología; Argentina.
Fil: Beltramone, Andrea Raquel. Universidad Tecnológica Nacional. Facultad Regional Córdoba. Centro de Investigación Nanociencia y Nanotecnología; Argentina. - Materia
-
Iridium-Platinum containing SBA-15
Tetralin Hydrogenation
Experimental Desing - Nivel de accesibilidad
- acceso abierto
- Condiciones de uso
- Attribution-NonCommercial-NoDerivatives 4.0 International
- Repositorio
.jpg)
- Institución
- Universidad Tecnológica Nacional
- OAI Identificador
- oai:ria.utn.edu.ar:20.500.12272/12591
Ver los metadatos del registro completo
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Tetralin Hydrogenation over Ir-Pt/SBA-15. Optimization by experimental desing.Vallés , Verónica AlejandraLedesma , Brenda CeciliaRivoira , Lorena PaolaCussa , jorgelinaAnunziata , Oscar AlfredoBeltramone , Andrea RaquelAnunziata , Oscar AlfredoCussa , jorgelinaRivoira , Lorena PaolaLedesma , Brenda CeciliaIridium-Platinum containing SBA-15Tetralin HydrogenationExperimental DesingBimetallic catalysts have received considerable attention for hydrotreating (HDT) because they show high activity. The features of the catalysts here studied are going to be correlated with their catalytic performance in the hydrogenation of tetralin at mild conditions. The final goal is to find the optimal proportion of each metal in order to be more active and the best reaction conditions (temperature and amount of catalyst). The statistical experiments design is the process of planning an experiment to obtain appropriate data that can be analyzed by statistical methods, to produce concrete and valid conclusions. One of the main advantages in the response curve is to visualize the response for all levels of the experimental factors Experiment design response surface methodology (RSM) is used in this work to model and to optimize the process. Platinum and Iridium nanoparticles were incorporated into SBA-15 support by the wet co impregnation method. Ir content was set as 1wt. % and Pt was varied from 0 to 1wt. %. The catalysts were characterized by XRD, BET, XPS, TEM, ICP and TPR. XRD profiles are characteristic of the two-dimensional p6mm hexagonal mesostructure with d100 spacing of 10.16 nm; where the d100 spacing upon Ir and Pt incorporation were quite similar to pristine SBA-15. The TEM images and XPS demonstrate that the metal particles were mainly present inside the porous and XPS and TPR corroborated the reduced state of the metals. The catalytic activity was measured in a 4563Parr reactor at 15 atm of hydrogen and 360 rpm. Feed consisted in 50 mL of tetralin in Dodecane, the amount of tetralin is set according to the ratio of catalyst mass/mass reagent corresponding to each reaction. The application of this methodology allows a better understanding of the influence of the different factors: content of metal on catalyst (A), relationship: mass of catalyst/reagent mass (B) and reaction temperature (C), on two responses: conversion at 3 h and at 5 h of reaction time. These factors were carefully selected taking account the influence of the parameters in the reaction. The design was analyzed by Statgraphics and Statistica Soft. We found that, the variable Catalyst has the best influence over the Conversion at the 95.0% confidence level, according to the Pareto.Fil: Vallés, Verónica Alejandra. Universidad Tecnológica Nacional. Facultad Regional Córdoba. Centro de Investigación Nanociencia y Nanotecnología; Argentina.Fil: Ledesma, Brenda Cecilia. Universidad Tecnológica Nacional. Facultad Regional Córdoba. Centro de Investigación Nanociencia y Nanotecnología; Argentina.Fil: Rivoira, Lorena Paola. Universidad Tecnológica Nacional. Facultad Regional Córdoba. Centro de Investigación Nanociencia y Nanotecnología; Argentina.Fil: Cussa, Jorgelina. Universidad Tecnológica Nacional. Facultad Regional Córdoba. Centro de Investigación Nanociencia y Nanotecnología; Argentina.Fil: Anunziata, Oscar Alfredo. Universidad Tecnológica Nacional. Facultad Regional Córdoba. Centro de Investigación Nanociencia y Nanotecnología; Argentina.Fil: Beltramone, Andrea Raquel. Universidad Tecnológica Nacional. Facultad Regional Córdoba. Centro de Investigación Nanociencia y Nanotecnología; Argentina.Univesidsad Tecnológica Nacional.2025-04-01T21:59:33Z2015info:eu-repo/semantics/articleinfo:eu-repo/semantics/acceptedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articulopdfapplication/pdfXXIV International Materials Research Congress 2015 .https://hdl.handle.net/20.500.12272/12591enginfo:eu-repo/semantics/openAccessAttribution-NonCommercial-NoDerivatives 4.0 Internationalhttp://creativecommons.org/licenses/by-nc-nd/4.0/Vallés, Verónica Alejandra; Ledesma, Brenda Cecilia; Rivoira, Lorena Paola; Cussa, Jorgelina; Anunziata, Oscar Alfredo; Beltramone, Andrea Raquel.https://creativecommons.org/licenses/by-nc-nd/4.0/reponame:Repositorio Institucional Abierto (UTN)instname:Universidad Tecnológica Nacional2026-09-24T12:45:00Zoai:ria.utn.edu.ar:20.500.12272/12591instacron:UTNInstitucionalhttp://ria.utn.edu.ar/Universidad públicaNo correspondehttp://ria.utn.edu.ar/oaigestionria@rec.utn.edu.ar; fsuarez@rec.utn.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:a2026-09-24 12:45:01.84Repositorio Institucional Abierto (UTN) - Universidad Tecnológica Nacionalfalse |
| dc.title.none.fl_str_mv |
Tetralin Hydrogenation over Ir-Pt/SBA-15. Optimization by experimental desing. |
| title |
Tetralin Hydrogenation over Ir-Pt/SBA-15. Optimization by experimental desing. |
| spellingShingle |
Tetralin Hydrogenation over Ir-Pt/SBA-15. Optimization by experimental desing. Vallés , Verónica Alejandra Iridium-Platinum containing SBA-15 Tetralin Hydrogenation Experimental Desing |
| title_short |
Tetralin Hydrogenation over Ir-Pt/SBA-15. Optimization by experimental desing. |
| title_full |
Tetralin Hydrogenation over Ir-Pt/SBA-15. Optimization by experimental desing. |
| title_fullStr |
Tetralin Hydrogenation over Ir-Pt/SBA-15. Optimization by experimental desing. |
| title_full_unstemmed |
Tetralin Hydrogenation over Ir-Pt/SBA-15. Optimization by experimental desing. |
| title_sort |
Tetralin Hydrogenation over Ir-Pt/SBA-15. Optimization by experimental desing. |
| dc.creator.none.fl_str_mv |
Vallés , Verónica Alejandra Ledesma , Brenda Cecilia Rivoira , Lorena Paola Cussa , jorgelina Anunziata , Oscar Alfredo Beltramone , Andrea Raquel Anunziata , Oscar Alfredo Cussa , jorgelina Rivoira , Lorena Paola Ledesma , Brenda Cecilia |
| author |
Vallés , Verónica Alejandra |
| author_facet |
Vallés , Verónica Alejandra Ledesma , Brenda Cecilia Rivoira , Lorena Paola Cussa , jorgelina Anunziata , Oscar Alfredo Beltramone , Andrea Raquel |
| author_role |
author |
| author2 |
Ledesma , Brenda Cecilia Rivoira , Lorena Paola Cussa , jorgelina Anunziata , Oscar Alfredo Beltramone , Andrea Raquel |
| author2_role |
author author author author author |
| dc.subject.none.fl_str_mv |
Iridium-Platinum containing SBA-15 Tetralin Hydrogenation Experimental Desing |
| topic |
Iridium-Platinum containing SBA-15 Tetralin Hydrogenation Experimental Desing |
| dc.description.none.fl_txt_mv |
Bimetallic catalysts have received considerable attention for hydrotreating (HDT) because they show high activity. The features of the catalysts here studied are going to be correlated with their catalytic performance in the hydrogenation of tetralin at mild conditions. The final goal is to find the optimal proportion of each metal in order to be more active and the best reaction conditions (temperature and amount of catalyst). The statistical experiments design is the process of planning an experiment to obtain appropriate data that can be analyzed by statistical methods, to produce concrete and valid conclusions. One of the main advantages in the response curve is to visualize the response for all levels of the experimental factors Experiment design response surface methodology (RSM) is used in this work to model and to optimize the process. Platinum and Iridium nanoparticles were incorporated into SBA-15 support by the wet co impregnation method. Ir content was set as 1wt. % and Pt was varied from 0 to 1wt. %. The catalysts were characterized by XRD, BET, XPS, TEM, ICP and TPR. XRD profiles are characteristic of the two-dimensional p6mm hexagonal mesostructure with d100 spacing of 10.16 nm; where the d100 spacing upon Ir and Pt incorporation were quite similar to pristine SBA-15. The TEM images and XPS demonstrate that the metal particles were mainly present inside the porous and XPS and TPR corroborated the reduced state of the metals. The catalytic activity was measured in a 4563Parr reactor at 15 atm of hydrogen and 360 rpm. Feed consisted in 50 mL of tetralin in Dodecane, the amount of tetralin is set according to the ratio of catalyst mass/mass reagent corresponding to each reaction. The application of this methodology allows a better understanding of the influence of the different factors: content of metal on catalyst (A), relationship: mass of catalyst/reagent mass (B) and reaction temperature (C), on two responses: conversion at 3 h and at 5 h of reaction time. These factors were carefully selected taking account the influence of the parameters in the reaction. The design was analyzed by Statgraphics and Statistica Soft. We found that, the variable Catalyst has the best influence over the Conversion at the 95.0% confidence level, according to the Pareto. Fil: Vallés, Verónica Alejandra. Universidad Tecnológica Nacional. Facultad Regional Córdoba. Centro de Investigación Nanociencia y Nanotecnología; Argentina. Fil: Ledesma, Brenda Cecilia. Universidad Tecnológica Nacional. Facultad Regional Córdoba. Centro de Investigación Nanociencia y Nanotecnología; Argentina. Fil: Rivoira, Lorena Paola. Universidad Tecnológica Nacional. Facultad Regional Córdoba. Centro de Investigación Nanociencia y Nanotecnología; Argentina. Fil: Cussa, Jorgelina. Universidad Tecnológica Nacional. Facultad Regional Córdoba. Centro de Investigación Nanociencia y Nanotecnología; Argentina. Fil: Anunziata, Oscar Alfredo. Universidad Tecnológica Nacional. Facultad Regional Córdoba. Centro de Investigación Nanociencia y Nanotecnología; Argentina. Fil: Beltramone, Andrea Raquel. Universidad Tecnológica Nacional. Facultad Regional Córdoba. Centro de Investigación Nanociencia y Nanotecnología; Argentina. |
| description |
Bimetallic catalysts have received considerable attention for hydrotreating (HDT) because they show high activity. The features of the catalysts here studied are going to be correlated with their catalytic performance in the hydrogenation of tetralin at mild conditions. The final goal is to find the optimal proportion of each metal in order to be more active and the best reaction conditions (temperature and amount of catalyst). The statistical experiments design is the process of planning an experiment to obtain appropriate data that can be analyzed by statistical methods, to produce concrete and valid conclusions. One of the main advantages in the response curve is to visualize the response for all levels of the experimental factors Experiment design response surface methodology (RSM) is used in this work to model and to optimize the process. Platinum and Iridium nanoparticles were incorporated into SBA-15 support by the wet co impregnation method. Ir content was set as 1wt. % and Pt was varied from 0 to 1wt. %. The catalysts were characterized by XRD, BET, XPS, TEM, ICP and TPR. XRD profiles are characteristic of the two-dimensional p6mm hexagonal mesostructure with d100 spacing of 10.16 nm; where the d100 spacing upon Ir and Pt incorporation were quite similar to pristine SBA-15. The TEM images and XPS demonstrate that the metal particles were mainly present inside the porous and XPS and TPR corroborated the reduced state of the metals. The catalytic activity was measured in a 4563Parr reactor at 15 atm of hydrogen and 360 rpm. Feed consisted in 50 mL of tetralin in Dodecane, the amount of tetralin is set according to the ratio of catalyst mass/mass reagent corresponding to each reaction. The application of this methodology allows a better understanding of the influence of the different factors: content of metal on catalyst (A), relationship: mass of catalyst/reagent mass (B) and reaction temperature (C), on two responses: conversion at 3 h and at 5 h of reaction time. These factors were carefully selected taking account the influence of the parameters in the reaction. The design was analyzed by Statgraphics and Statistica Soft. We found that, the variable Catalyst has the best influence over the Conversion at the 95.0% confidence level, according to the Pareto. |
| publishDate |
2015 |
| dc.date.none.fl_str_mv |
2015 2025-04-01T21:59:33Z |
| dc.type.none.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/acceptedVersion http://purl.org/coar/resource_type/c_6501 info:ar-repo/semantics/articulo |
| format |
article |
| status_str |
acceptedVersion |
| dc.identifier.none.fl_str_mv |
XXIV International Materials Research Congress 2015 . https://hdl.handle.net/20.500.12272/12591 |
| identifier_str_mv |
XXIV International Materials Research Congress 2015 . |
| url |
https://hdl.handle.net/20.500.12272/12591 |
| dc.language.none.fl_str_mv |
eng |
| language |
eng |
| dc.rights.none.fl_str_mv |
info:eu-repo/semantics/openAccess Attribution-NonCommercial-NoDerivatives 4.0 International http://creativecommons.org/licenses/by-nc-nd/4.0/ Vallés, Verónica Alejandra; Ledesma, Brenda Cecilia; Rivoira, Lorena Paola; Cussa, Jorgelina; Anunziata, Oscar Alfredo; Beltramone, Andrea Raquel. https://creativecommons.org/licenses/by-nc-nd/4.0/ |
| eu_rights_str_mv |
openAccess |
| rights_invalid_str_mv |
Attribution-NonCommercial-NoDerivatives 4.0 International http://creativecommons.org/licenses/by-nc-nd/4.0/ Vallés, Verónica Alejandra; Ledesma, Brenda Cecilia; Rivoira, Lorena Paola; Cussa, Jorgelina; Anunziata, Oscar Alfredo; Beltramone, Andrea Raquel. https://creativecommons.org/licenses/by-nc-nd/4.0/ |
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pdf application/pdf |
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Univesidsad Tecnológica Nacional. |
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Univesidsad Tecnológica Nacional. |
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reponame:Repositorio Institucional Abierto (UTN) instname:Universidad Tecnológica Nacional |
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Universidad Tecnológica Nacional |
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Repositorio Institucional Abierto (UTN) - Universidad Tecnológica Nacional |
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gestionria@rec.utn.edu.ar; fsuarez@rec.utn.edu.ar |
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13.24418 |