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Supported ultra-thin alumina membranes with graphene as efficient interference enhanced raman scattering platforms for sensing

dc.contributor.authorAguilar Pujol, Montserrat X.
dc.contributor.authorRamírez Jiménez, Rafael
dc.contributor.authorXifre Pérez, Elisabet
dc.contributor.authorCortijo Campos, Sandra
dc.contributor.authorBartolomé Vílchez, Javier
dc.contributor.authorMarsal, Lluís F.
dc.contributor.authorAndrés, Alicia de
dc.date.accessioned2023-06-16T15:20:10Z
dc.date.available2023-06-16T15:20:10Z
dc.date.issued2020-05
dc.description©2020 MDPI The research leading to these results has received funding from Ministerio de Ciencia, Innovacion y Universidades (RTI2018-096918-B-C41) and RTI2018-094040-B-I00) and by the Agency for Management of University and Research Grants (AGAUR) 2017-SGR-1527. S.C. acknowledges the grant BES-2016-076440 from MINECO.
dc.description.abstractThe detection of Raman signals from diluted molecules or biomaterials in complex media is still a challenge. Besides the widely studied Raman enhancement by nanoparticle plasmons, interference mechanisms provide an interesting option. A novel approach for amplification platforms based on supported thin alumina membranes was designed and fabricated to optimize the interference processes. The dielectric layer is the extremely thin alumina membrane itself and, its metallic aluminum support, the reflecting medium. A CVD (chemical vapor deposition) single-layer graphene is transferred on the membrane to serve as substrate to deposit the analyte. Experimental results and simulations of the interference processes were employed to determine the relevant parameters of the structure to optimize the Raman enhancement factor (E.F.). Highly homogeneous E.F. over the platform surface are obtained, typically 370 +/- (5%), for membranes with similar to 100 nm pore depth, similar to 18 nm pore diameter and the complete elimination of the Al2O3 bottom barrier layer. The combined surface enhanced Raman scattering (SERS) and interference amplification is also demonstrated by depositing ultra-small silver nanoparticles. This new approach to amplify the Raman signal of analytes is easily obtained, low-cost and robust with useful enhancement factors (similar to 400) and allows only interference or combined enhancement mechanisms, depending on the analyte requirements.
dc.description.departmentDepto. de Física de Materiales
dc.description.facultyFac. de Ciencias Físicas
dc.description.refereedTRUE
dc.description.sponsorshipMiniterio de Ciencia e Innovación (MICINN)
dc.description.sponsorshipMinisterio de Economía y Competitividad (MINECO)
dc.description.sponsorshipGeneralitat de Catalunya
dc.description.statuspub
dc.eprint.idhttps://eprints.ucm.es/id/eprint/61486
dc.identifier.doi10.3390/nano10050830
dc.identifier.issn2079-4991
dc.identifier.officialurlhttp://dx.doi.org/10.3390/nano10050830
dc.identifier.relatedurlhttps://www.mdpi.com
dc.identifier.urihttps://hdl.handle.net/20.500.14352/6393
dc.issue.number5
dc.journal.titleNanomaterials
dc.language.isoeng
dc.publisherMDPI
dc.relation.projectID(RTI2018-096918-B-C41; RTI2018-094040-B-I00)
dc.relation.projectIDBES-2016-076440
dc.relation.projectID2017-SGR-1527
dc.rightsAtribución 3.0 España
dc.rights.accessRightsopen access
dc.rights.urihttps://creativecommons.org/licenses/by/3.0/es/
dc.subject.cdu538.9
dc.subject.keywordSurface
dc.subject.keywordSers
dc.subject.keywordInterference
dc.subject.keywordEnhanced raman scattering
dc.subject.keywordAlumina membrane
dc.subject.keywordGraphene
dc.subject.keywordNanoparticles
dc.subject.keywordOptical simulations
dc.subject.keywordAFM
dc.subject.keywordSEM
dc.subject.ucmFísica de materiales
dc.subject.ucmFísica del estado sólido
dc.subject.unesco2211 Física del Estado Sólido
dc.titleSupported ultra-thin alumina membranes with graphene as efficient interference enhanced raman scattering platforms for sensing
dc.typejournal article
dc.volume.number10
dspace.entity.typePublication
relation.isAuthorOfPublication584d700c-79ff-4e20-a35d-519d0958238e
relation.isAuthorOfPublication.latestForDiscovery584d700c-79ff-4e20-a35d-519d0958238e

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