<p>This work clearly demonstrated a&#xa0;response to changes in glucose concentration <i>via</i> a&#xa0;linear shift of the resonance wavelength with increasing concentration. The photonic crystal-based sensor was constructed using COMSOL based on the finite element method. Furthermore, it was shown that as the radius of the silver rod increased, plasmonic interferences and increased scattering caused the resonance spectrum (FWHM) to broaden and the quality factor to decrease. It was also shown that changing the radius (<i>r</i><sub>1</sub>) of the photonic crystal material had an impact on the maximum transmittance, resonance wavelength, and spectrum width. Research findings showed that the largest detection limit was 2.25·10<sup>−4</sup> RIU, and the best sensitivity was 500 nm/RIU at <i>r</i><sub>1</sub> = 0.123 μm. GaAs had the shortest spectrum width and best sensitivity, while TiO<sub>2</sub> had the widest spectral range and the highest detection limit. These results suggested that the sensor could be a&#xa0;useful tool for accurately measuring glucose levels.</p>

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Glucose concentration detection using photonic crystal-based biosensors

  • A. K. Tebeg,
  • H. A. Yasser

摘要

This work clearly demonstrated a response to changes in glucose concentration via a linear shift of the resonance wavelength with increasing concentration. The photonic crystal-based sensor was constructed using COMSOL based on the finite element method. Furthermore, it was shown that as the radius of the silver rod increased, plasmonic interferences and increased scattering caused the resonance spectrum (FWHM) to broaden and the quality factor to decrease. It was also shown that changing the radius (r1) of the photonic crystal material had an impact on the maximum transmittance, resonance wavelength, and spectrum width. Research findings showed that the largest detection limit was 2.25·10−4 RIU, and the best sensitivity was 500 nm/RIU at r1 = 0.123 μm. GaAs had the shortest spectrum width and best sensitivity, while TiO2 had the widest spectral range and the highest detection limit. These results suggested that the sensor could be a useful tool for accurately measuring glucose levels.