Advanced metal nanostructure design for surface plasmon photonic bandgap biosensor device

Nan-Fu Chiu, Shou Yu Nien, Chun Yu, Jiun Haw Lee, Chii Wann Lin

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    7 Citations (Scopus)

    Abstract

    This paper is intended to demonstrate the effect of coupled surface plasmon polaritons (SPPs) on the optical response of a one-dimensional metal grating nanostructure patterned by electron beam lithography (EBL) on the silicon surface. Variations of the structure parameters allow continuously tuning of these high-transmission bands across the nanostructure plasmon resonance. This phenomenon gives rise to a selective spectral response and a local field enhancement which can be used in the context of nano-optics. We have examined the emission and reflectance spectra through various fabricated structure layers to determine the emissive angle in SPPs modes. The presented results show that the enhanced reflectance through grating nanostructures is important for such a planar design of novel optical biosensor.

    Original languageEnglish
    Title of host publication28th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'06
    Pages6521-6524
    Number of pages4
    DOIs
    Publication statusPublished - 2006 Dec 1
    Event28th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'06 - New York, NY, United States
    Duration: 2006 Aug 302006 Sep 3

    Publication series

    NameAnnual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings
    ISSN (Print)0589-1019

    Other

    Other28th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'06
    Country/TerritoryUnited States
    CityNew York, NY
    Period2006/08/302006/09/03

    Keywords

    • Electron beam lithography (EBL)
    • Nanostructure
    • Optical biosensor
    • Surface plasmon polaritons (SPPs)

    ASJC Scopus subject areas

    • Signal Processing
    • Biomedical Engineering
    • Computer Vision and Pattern Recognition
    • Health Informatics

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