Ellipso-polarimetric schemes for improved surface plasmon resonance detection

Ibrahim Watad, Ibrahim Abdulhalim

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    1 Scopus citations

    Abstract

    The majority of commercially available surface plasmon resonance (SPR) sensors rely solely on the detection of the intensity minimum of the reflected signal avoiding the extraction of the polarization properties. Such properties, i.e. the phase difference between polarization components and the azimuthal angle of the polarization ellipse, give sharper responses than the intensity which lead to a better measurement accuracy. Therefore, the lack of extraction of polarization properties in such devices significantly limits their performance. In this work we suggest different configurations of multifunctioning SPR sensing systems that can extract both the normalized reflectivity and the polarization properties simultaneously in the angular and spectral modes. This leads to a significant boost in the performance of existing SPR sensors as multi-parametric functioning systems.

    Original languageEnglish
    Title of host publicationPhysics and Simulation of Optoelectronic Devices XXVII
    EditorsMarek Osinski, Yasuhiko Arakawa, Bernd Witzigmann
    PublisherSPIE
    ISBN (Electronic)9781510624665
    DOIs
    StatePublished - 1 Jan 2019
    EventPhysics and Simulation of Optoelectronic Devices XXVII 2019 - San Francisco, United States
    Duration: 5 Feb 20197 Feb 2019

    Publication series

    NameProceedings of SPIE - The International Society for Optical Engineering
    Volume10912
    ISSN (Print)0277-786X
    ISSN (Electronic)1996-756X

    Conference

    ConferencePhysics and Simulation of Optoelectronic Devices XXVII 2019
    Country/TerritoryUnited States
    CitySan Francisco
    Period5/02/197/02/19

    Keywords

    • Optical sensors
    • Phase extraction
    • Polarimetry
    • Surface plasmons

    ASJC Scopus subject areas

    • Electronic, Optical and Magnetic Materials
    • Condensed Matter Physics
    • Computer Science Applications
    • Applied Mathematics
    • Electrical and Electronic Engineering

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