Cargando…

Raman Spectroscopy as Molybdenum and Tungsten Content Analysis Tool for Mesoporous Silica and Beta Zeolite Catalysts

Raman spectroscopy was used for the quantitative determination of Mo and W in Mo- and W-supported mesoporous silica (Mo/SBA-15 and W/SBA-15, respectively) and Mo-supported beta zeolite (Mo-BEA). Three Raman quantitative models were developed and optimized for the metal contents of Mo/SBA-15, W/SBA-1...

Descripción completa

Detalles Bibliográficos
Autores principales: Velvarská, Romana, Tišler, Zdeněk, Raichlová, Veronika, Hidalgo-Herrador, José Miguel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7660599/
https://www.ncbi.nlm.nih.gov/pubmed/33114259
http://dx.doi.org/10.3390/molecules25214918
_version_ 1783609038909472768
author Velvarská, Romana
Tišler, Zdeněk
Raichlová, Veronika
Hidalgo-Herrador, José Miguel
author_facet Velvarská, Romana
Tišler, Zdeněk
Raichlová, Veronika
Hidalgo-Herrador, José Miguel
author_sort Velvarská, Romana
collection PubMed
description Raman spectroscopy was used for the quantitative determination of Mo and W in Mo- and W-supported mesoporous silica (Mo/SBA-15 and W/SBA-15, respectively) and Mo-supported beta zeolite (Mo-BEA). Three Raman quantitative models were developed and optimized for the metal contents of Mo/SBA-15, W/SBA-15, and Mo/BEA. Subsequently, the models were characterized using the root mean square error of calibration (RMSEC), root mean square error of cross-validation (RMSECV), root mean square error of prediction (RMSEP), correlation coefficient, and predicted residual error sum of squares (PRESS) diagnostic function. The calibration range of the models were in the range of approximately 2–40 wt% for the SBA-15 support and 1–21 wt% for the BEA support because the BEA support presented lower Mo absorption than the SBA-15 support. The RMSEC, RMSECV, and RMSEP values were below 1.80% for all developed models. The highest and lowest correlation coefficients corresponded to the W/SBA-15 (0.9984) and Mo/BEA (0.9777) models, respectively. The change in catalyst support affected the mentioned chemometric parameters (Mo/SBA-15 vs. Mo/BEA). Subsequently, Raman spectroscopy combined with the temperature control stage was used to study the calcination of Mo/BEA, Mo/SBA-15, and W/SBA-15 using three-dimensional diagrams, in which the changes in catalyst structure were analyzed as functions of the temperature and time. Raman spectroscopy was determined to be a suitable analytical tool for the quantitative analysis of the metal contents of the catalyst and optimization of the calcination process. Therefore, Raman spectroscopy can be used during catalyst manufacturing.
format Online
Article
Text
id pubmed-7660599
institution National Center for Biotechnology Information
language English
publishDate 2020
publisher MDPI
record_format MEDLINE/PubMed
spelling pubmed-76605992020-11-13 Raman Spectroscopy as Molybdenum and Tungsten Content Analysis Tool for Mesoporous Silica and Beta Zeolite Catalysts Velvarská, Romana Tišler, Zdeněk Raichlová, Veronika Hidalgo-Herrador, José Miguel Molecules Article Raman spectroscopy was used for the quantitative determination of Mo and W in Mo- and W-supported mesoporous silica (Mo/SBA-15 and W/SBA-15, respectively) and Mo-supported beta zeolite (Mo-BEA). Three Raman quantitative models were developed and optimized for the metal contents of Mo/SBA-15, W/SBA-15, and Mo/BEA. Subsequently, the models were characterized using the root mean square error of calibration (RMSEC), root mean square error of cross-validation (RMSECV), root mean square error of prediction (RMSEP), correlation coefficient, and predicted residual error sum of squares (PRESS) diagnostic function. The calibration range of the models were in the range of approximately 2–40 wt% for the SBA-15 support and 1–21 wt% for the BEA support because the BEA support presented lower Mo absorption than the SBA-15 support. The RMSEC, RMSECV, and RMSEP values were below 1.80% for all developed models. The highest and lowest correlation coefficients corresponded to the W/SBA-15 (0.9984) and Mo/BEA (0.9777) models, respectively. The change in catalyst support affected the mentioned chemometric parameters (Mo/SBA-15 vs. Mo/BEA). Subsequently, Raman spectroscopy combined with the temperature control stage was used to study the calcination of Mo/BEA, Mo/SBA-15, and W/SBA-15 using three-dimensional diagrams, in which the changes in catalyst structure were analyzed as functions of the temperature and time. Raman spectroscopy was determined to be a suitable analytical tool for the quantitative analysis of the metal contents of the catalyst and optimization of the calcination process. Therefore, Raman spectroscopy can be used during catalyst manufacturing. MDPI 2020-10-23 /pmc/articles/PMC7660599/ /pubmed/33114259 http://dx.doi.org/10.3390/molecules25214918 Text en © 2020 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
Velvarská, Romana
Tišler, Zdeněk
Raichlová, Veronika
Hidalgo-Herrador, José Miguel
Raman Spectroscopy as Molybdenum and Tungsten Content Analysis Tool for Mesoporous Silica and Beta Zeolite Catalysts
title Raman Spectroscopy as Molybdenum and Tungsten Content Analysis Tool for Mesoporous Silica and Beta Zeolite Catalysts
title_full Raman Spectroscopy as Molybdenum and Tungsten Content Analysis Tool for Mesoporous Silica and Beta Zeolite Catalysts
title_fullStr Raman Spectroscopy as Molybdenum and Tungsten Content Analysis Tool for Mesoporous Silica and Beta Zeolite Catalysts
title_full_unstemmed Raman Spectroscopy as Molybdenum and Tungsten Content Analysis Tool for Mesoporous Silica and Beta Zeolite Catalysts
title_short Raman Spectroscopy as Molybdenum and Tungsten Content Analysis Tool for Mesoporous Silica and Beta Zeolite Catalysts
title_sort raman spectroscopy as molybdenum and tungsten content analysis tool for mesoporous silica and beta zeolite catalysts
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7660599/
https://www.ncbi.nlm.nih.gov/pubmed/33114259
http://dx.doi.org/10.3390/molecules25214918
work_keys_str_mv AT velvarskaromana ramanspectroscopyasmolybdenumandtungstencontentanalysistoolformesoporoussilicaandbetazeolitecatalysts
AT tislerzdenek ramanspectroscopyasmolybdenumandtungstencontentanalysistoolformesoporoussilicaandbetazeolitecatalysts
AT raichlovaveronika ramanspectroscopyasmolybdenumandtungstencontentanalysistoolformesoporoussilicaandbetazeolitecatalysts
AT hidalgoherradorjosemiguel ramanspectroscopyasmolybdenumandtungstencontentanalysistoolformesoporoussilicaandbetazeolitecatalysts