Chemical Imaging of Mixed Metal Oxide Catalysts for Propylene Oxidation: From Model Binary Systems to Complex Multicomponent Systems

dc.bibliographicCitation.firstPage2483eng
dc.bibliographicCitation.issue10eng
dc.bibliographicCitation.journalTitleChemCatChemeng
dc.bibliographicCitation.lastPage2493eng
dc.bibliographicCitation.volume13eng
dc.contributor.authorSprenger, Paul
dc.contributor.authorStehle, Matthias
dc.contributor.authorGaur, Abhijeet
dc.contributor.authorWeiß, Jana
dc.contributor.authorBrueckner, Dennis
dc.contributor.authorZhang, Yi
dc.contributor.authorGarrevoet, Jan
dc.contributor.authorSuuronen, Jussi‐Petteri
dc.contributor.authorThomann, Michael
dc.contributor.authorFischer, Achim
dc.contributor.authorGrunwaldt, Jan‐Dierk
dc.contributor.authorSheppard, Thomas L.
dc.date.accessioned2022-03-29T08:55:10Z
dc.date.available2022-03-29T08:55:10Z
dc.date.issued2021
dc.description.abstractIndustrially-applied mixed metal oxide catalysts often possess an ensemble of structural components with complementary functions. Characterisation of these hierarchical systems is challenging, particularly moving from binary to quaternary systems. Here a quaternary Bi−Mo−Co−Fe oxide catalyst showing significantly greater activity than binary Bi−Mo oxides for selective propylene oxidation to acrolein was studied with chemical imaging techniques from the microscale to nanoscale. Conventional techniques like XRD and Raman spectroscopy could only distinguish a small number of components. Spatially-resolved characterisation provided a clearer picture of metal oxide phase composition, starting from elemental distribution by SEM-EDX and spatially-resolved mapping of metal oxide components by 2D Raman spectroscopy. This was extended to 3D using multiscale hard X-ray tomography with fluorescence, phase, and diffraction contrast. The identification and co-localisation of phases in 2D and 3D can assist in rationalising catalytic performance during propylene oxidation, based on studies of model, binary, or ternary catalyst systems in literature. This approach is generally applicable and attractive for characterisation of complex mixed metal oxide systems. © 2021 The Authors. ChemCatChem published by Wiley-VCH GmbHeng
dc.description.versionpublishedVersioneng
dc.identifier.urihttps://oa.tib.eu/renate/handle/123456789/8425
dc.identifier.urihttps://doi.org/10.34657/7463
dc.language.isoengeng
dc.publisherWeinheim : Wiley-VCHeng
dc.relation.doihttps://doi.org/10.1002/cctc.202100054
dc.relation.essn1867-3899
dc.relation.issn1867-3880
dc.rights.licenseCC BY-NC-ND 4.0 Unportedeng
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/eng
dc.subject.ddc540eng
dc.subject.otherelectron microscopyeng
dc.subject.otherRaman spectroscopyeng
dc.subject.otherspatially-resolved spectroscopyeng
dc.subject.otherX-ray microscopyeng
dc.subject.otherX-ray tomographyeng
dc.titleChemical Imaging of Mixed Metal Oxide Catalysts for Propylene Oxidation: From Model Binary Systems to Complex Multicomponent Systemseng
dc.typeArticleeng
dc.typeTexteng
tib.accessRightsopenAccesseng
wgl.contributorLIKATeng
wgl.subjectChemieeng
wgl.typeZeitschriftenartikeleng
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