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dc.contributor.authorSarapukdee, Pongsak-
dc.contributor.authorSpenner, Christian-
dc.contributor.authorSchulz, Dirk-
dc.contributor.authorPalzer, Stefan-
dc.date.accessioned2023-08-02T14:59:38Z-
dc.date.available2023-08-02T14:59:38Z-
dc.date.issued2023-07-28-
dc.identifier.urihttp://hdl.handle.net/2003/42045-
dc.identifier.urihttp://dx.doi.org/10.17877/DE290R-23878-
dc.description.abstractThe use of surface plasmon resonance sensors allows for the fabrication of highly sensitive, label-free analytical devices. This contribution reports on a grating coupler to enable surface plasmon resonance studies using silver on silicon oxide technology to build long-term stable plasmonic structures for biological molecule sensing. The structural parameters were simulated and the corresponding simulation model was optimized based on the experimental results to improve its reliability. Based on the model, optimized grating nanostructures were fabricated on an oxidized silicon wafer with different structural parameters and characterized using a dedicated optical setup and scanning electron microscopy. The combined theoretical and experimental results show that the most relevant refractive index range for biological samples from 1.32–1.46 may conveniently be covered with a highest sensitivity of 128.85°/RIU.en
dc.language.isoende
dc.relation.ispartofseriesSensors;Vol. 23. 2023, 15, Art. No 6743-
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/de
dc.subjectPlasmon resonanceen
dc.subjectMicrofabricationen
dc.subjectGrating coupleren
dc.subjectSimulation modelen
dc.subjectLabel-freeen
dc.subjectProtective layeren
dc.subjectBiosensorsen
dc.subjectSilveren
dc.subjectRefractive indexen
dc.subject.ddc620-
dc.titleOptimizing stability and performance of silver-based grating structures for surface plasmon resonance sensorsen
dc.typeTextde
dc.type.publicationtypeArticlede
dcterms.accessRightsopen access-
eldorado.secondarypublicationtruede
eldorado.secondarypublication.primaryidentifierhttps://doi.org/10.3390/s23156743de
eldorado.secondarypublication.primarycitationSensors. Vol. 23. 2023, (15), Art. No. 6743en
Appears in Collections:Fakultät für Elektrotechnik und Informationstechnik

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