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      High-sensitivity biosensor for identification of protein based on terahertz Fano resonance metasurfaces

      , , , , ,
      Optics Communications
      Elsevier BV

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          Localized surface plasmon resonance sensors.

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            Babinet principle applied to the design of metasurfaces and metamaterials.

            The electromagnetic theory of diffraction and the Babinet principle are applied to the design of artificial metasurfaces and metamaterials. A new particle, the complementary split rings resonator, is proposed for the design of metasurfaces with high frequency selectivity and planar metamaterials with a negative dielectric permittivity. Applications in the fields of frequency selective surfaces and polarizers, as well as in microwave antennas and filter design, can be envisaged. The tunability of all these devices by an applied dc voltage is also achievable if these particles are etched on the appropriate substrate.
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              Biomedical Applications of Terahertz Spectroscopy and Imaging.

              Terahertz (THz=10(12)Hz) radiation has attracted wide attention for its unprecedented sensing ability and its noninvasive and nonionizing properties. Tremendous strides in THz instrumentation have prompted impressive breakthroughs in THz biomedical research. Here, we review the current state of THz spectroscopy and imaging in various biomedical applications ranging from biomolecules, including DNA/RNA, amino acids/peptides, proteins, and carbohydrates, to cells and tissues. We also address the potential biological effects of THz radiation during its biological applications and propose future prospects for this cutting-edge technology.
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                Author and article information

                Journal
                Optics Communications
                Optics Communications
                Elsevier BV
                00304018
                October 2020
                October 2020
                : 473
                : 125850
                Article
                10.1016/j.optcom.2020.125850
                c8abb214-cc23-4487-816a-9d1c48cca2fd
                © 2020

                https://www.elsevier.com/tdm/userlicense/1.0/

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