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Optical properties of metal nanoparticles embedded in amorphous silicon analysed using discrete dipole approximation

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dc.contributor.authorFantoni, Alessandro
dc.contributor.authorFernandes, Miguel
dc.contributor.authorVygranenko, Yuri
dc.contributor.authorVieira, Manuela
dc.contributor.authorOliveira-Silva, Rui
dc.contributor.authorPrazeres, Duarte
dc.contributor.authorDa Costa Ribeiro, Ana Paula
dc.contributor.authorAlegria, Elisabete
dc.date.accessioned2019-04-29T12:08:32Z
dc.date.available2019-04-29T12:08:32Z
dc.date.issued2018
dc.description.abstractLocalized surface plasmons (LSP) can be excited in metal nanoparticles (NP) by UV, visible or NIR light and are described as coherent oscillation of conduction electrons. Taking advantage of the tunable optical properties of NPs, we propose the realization of a plasmonic structure, based on the LSP interaction of NP with an embedding matrix of amorphous silicon. This study is directed to define the characteristics of NP and substrate necessary to the development of a LSP proteomics sensor that, once provided immobilized antibodies on its surface, will screen the concentration of selected antigens through the determination of LSPR spectra and peaks of light absorption. Metals of interest for NP composition are: Aluminium and Gold. Recent advances in nanoparticle production techniques allow almost full control over shapes and size, permitting full control over their optical and plasmonic properties and, above all, over their responsive spectra. Analytical solution is only possible for simple NP geometries, therefore our analysis, is realized recurring to computer simulation using the Discrete Dipole Approximation method (DDA). In this work we use the free software DDSCAT to study the optical properties of metal nanoparticles embedded in an amorphous silicon matrix, as a function of size, shape, aspect-ratio and metal type. Experimental measurements realized with arrays of metal nanoparticles are compared with the simulations.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationFANTONI, Alessandro; [et al] – Optical properties of metal nanoparticles embedded in amorphous silicon analysed using discrete dipole approximation. In Proceedings of SPIE – Physics and Simulation of Optoelectronic Devices XXVI. San Francisco, California, EUA: SPIE, 2018. ISSN 0277-786X. Vol. 10526, pp. 1052609-1- 1052609-10pt_PT
dc.identifier.doi10.1117/12.2289983pt_PT
dc.identifier.issn0277-786X
dc.identifier.issn1996-756X
dc.identifier.urihttp://hdl.handle.net/10400.21/9904
dc.language.isoengpt_PT
dc.publisherSociety of Photo-optical Instrumentation Engineerspt_PT
dc.relationSFRH/BPD/102217/2014 - FCTpt_PT
dc.subjectLocalized surface plasmonspt_PT
dc.subjectDiscrete dipole approximation methodpt_PT
dc.subjectAcronymspt_PT
dc.subjectAmorphous siliconpt_PT
dc.titleOptical properties of metal nanoparticles embedded in amorphous silicon analysed using discrete dipole approximationpt_PT
dc.typeconference object
dspace.entity.typePublication
oaire.citation.conferencePlaceJan 29-Feb 01, 2018 - San Francisco, California, EUApt_PT
oaire.citation.endPage1052609-10pt_PT
oaire.citation.startPage1052609-1pt_PT
oaire.citation.titleConference on Physics and Simulation of Optoelectronic Devices XXVIpt_PT
oaire.citation.volume10526pt_PT
person.familyNameFantoni
person.familyNameFernandes
person.familyNameVygranenko
person.familyNameVieira
person.familyNameOliveira-Silva
person.familyNamePrazeres
person.familyNameda Costa Ribeiro
person.familyNameAlegria
person.givenNameAlessandro
person.givenNameMiguel
person.givenNameYuri
person.givenNameManuela
person.givenNameRui
person.givenNameDuarte Miguel de França Teixeira dos
person.givenNameAna Paula
person.givenNameElisabete
person.identifier10792
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person.identifier.orcid0000-0003-4323-4328
person.identifier.orcid0000-0003-4060-1057
person.identifier.ridK-1105-2016
person.identifier.ridV-7860-2017
person.identifier.ridY-7516-2018
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person.identifier.scopus-author-id7006535604
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rcaap.rightsclosedAccesspt_PT
rcaap.typeconferenceObjectpt_PT
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