Literature DB >> 19259149

Development of mid-infrared surface plasmon resonance-based sensors with highly-doped silicon for biomedical and chemical applications.

Yu-Bin Chen1.   

Abstract

Biomedical and chemical sensors utilizing surface plasmon resonance (SPR) in the mid-infrared range were developed with the aid of highly doped silicon owing to its tailored optical constants. SPR may be excited by light incident on a periodic doping profile embedded in an intrinsic silicon film without constraints on the flow of chemical solutions or activities of biomedical samples. General guidance for tuning SPR wavelengths based on dispersion curves to catch different target materials in free space or water was also provided. The feasibility of sensors was demonstrated with a sharp spectral-directional reflectance dip, which shifted with optical constants variation. The effects of doping concentration, doping profile, and angle of incidence on sensor performance were numerically studied with a rigorous coupled-wave analysis algorithm. Developed sensors could work well for a real target and show superiority in sensitivity over existing sensors.

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Year:  2009        PMID: 19259149     DOI: 10.1364/oe.17.003130

Source DB:  PubMed          Journal:  Opt Express        ISSN: 1094-4087            Impact factor:   3.894


  3 in total

1.  All-Silicon Ultra-Broadband Infrared Light Absorbers.

Authors:  Kazim Gorgulu; Abdullah Gok; Mehmet Yilmaz; Kagan Topalli; Necmi Bıyıklı; Ali K Okyay
Journal:  Sci Rep       Date:  2016-12-07       Impact factor: 4.379

Review 2.  Plasmon Waveguide Resonance: Principles, Applications and Historical Perspectives on Instrument Development.

Authors:  Estelle Rascol; Sandrine Villette; Etienne Harté; Isabel D Alves
Journal:  Molecules       Date:  2021-10-26       Impact factor: 4.411

3.  Real-Time and Label-Free Chemical Sensor-on-a-chip using Monolithic Si-on-BaTiO3 Mid-Infrared waveguides.

Authors:  Tiening Jin; Leigang Li; Bruce Zhang; Hao-Yu Greg Lin; Haiyan Wang; Pao Tai Lin
Journal:  Sci Rep       Date:  2017-07-19       Impact factor: 4.379

  3 in total

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