Experimental desing optimization of the ODS of DBT using V2O5 supported on GA-SBA-15.

dc.creatorRivoira , Lorena Paola
dc.creatorCussa , jorgelina
dc.creatorMartínez , María Laura
dc.creatorBeltramone, Andrea Raquel
dc.creatorMartínez , María Laura
dc.creatorCussa , jorgelina
dc.date.accessioned2025-03-27T20:09:55Z
dc.date.issued2020
dc.description.abstractExperiment design-response surface methodology (RSM) was used in this work to model and optimize one response in the oxidative desulfurization of dibenzothiophene with hydrogen peroxide using VOx Ga-SBA-15 catalysts with different Ga/Si and V/Si ratios. In this study, we analyze the influence of the nature of the catalyst (metal/Si ratio), the substrate/catalyst mass ratio and the oxidant/substrate ratio as factors for the design. The response analyzed was conversion at 15 min of reaction time. The response surfaces were obtained with the Box– Behnken Design, finding the best combination between the reaction parameters that allowed optimizing the process. By applying the statistic methodology, the higher levels of the objective function were obtained employing the catalyst with 4 wt.% of gallium and 6 wt.% of vanadium; the optimal ratio between g DBT/g of catalyst was 4 and the molar ratio H2O2/DBT was 5. The incorporation of gallium as heteroatom in tetrahedral position allows the better anchorage of the active species of vanadium generating a very well dispersed catalyst. Structural and textural characterization of the catalysts were performed by means of XRD, N2 adsorption, UV–Vis–DRS, XPS, NMR, TEM, Raman, TPR and Py-FTIR. UV–Vis–DRS and Raman demonstrated that highly dispersed vanadium pentoxide crystallites are responsible for the high activity in the sulfur removal. The high dispersion depended on the vanadium loading and on the nature of the support. The experiment design was able to find the best combination between the heteroatom and the vanadium active site in order to find the most active catalyst for ODS of DBT at the optimized experimental conditions.
dc.description.affiliationFil: Rivoira, Lorena Paola. Universidad Tecnológica Nacional. Facultad Regional Córdoba. Centro de Investigación Nanociencia y Nanotecnología; Argentina.
dc.description.affiliationFil: Cussa, Jorgelina. Universidad Tecnológica Nacional. Facultad Regional Córdoba. Centro de Investigación Nanociencia y Nanotecnología; Argentina.
dc.description.affiliationFil: Martínez, María Luara. Universidad Tecnológica Nacional. Facultad Regional Córdoba. Centro de Investigación Nanociencia y Nanotecnología; Argentina.
dc.description.affiliationFil: Beltramone, Andrea Raquel. Universidad Tecnológica Nacional. Facultad Regional Córdoba. Centro de Investigación Nanociencia y Nanotecnología; Argentina.
dc.formatpdf
dc.identifier.citationElsevier- Catalysis Today- Volumen 349- 2020.
dc.identifier.urihttps://hdl.handle.net/20.500.12272/12528
dc.language.isoen
dc.publisherUnivesidsad Tecnológica Nacional.
dc.rightsinfo:eu-repo/semantics/openAccess
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internationalen
dc.rights.holderRivoira, Lorena Paola; Cussa, Jorgelina; Martínez, María Laura; Beltramone, Andrea Raquel.
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/
dc.rights.usehttps://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectODS of DBT
dc.subjectV2O5 supported
dc.subjectGa-SBA-15
dc.titleExperimental desing optimization of the ODS of DBT using V2O5 supported on GA-SBA-15.
dc.typeinfo:eu-repo/semantics/article
dc.type.versionacceptedVersion

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