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In this paper, we conducted a study to analyse the performance of a 2D photonic crystal biosensor for detecting blood components. This biosensor is constructed using a ring cavity coupled to input and output waveguides and hexagonal structure forms made 15 × 15 of silicon rods with a refractive index of 3.46 in air. Evaluation of the biosensor performance entails examining its ability to accurately distinguish between different wavelengths of resonance, its sensitivity to changes in wavelength, and its overall quality factor. The computed values improve the effectiveness of our biosensor by increasing the quality factor to 1190.461 nm and achieving a significant sensitivity of 60.706 nm/RIU. The results were obtained using advanced simulation techniques, including the Plane Wave Expansion (PWE) and the Finite-Difference Time-Domain (FDTD) methods. The biosensor being showcased has a remarkable level of sensitivity and accuracy. This device is of great significance in medical diagnostics because it can precisely detect even little alterations in the refractive index of blood components.

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Analysis of a 2D PhC Biosensor Based on Cavity Coupled to Waveguides for Detecting Blood Components

  • 会议论文

  • 发表日期：

    2026年

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  • Rima Hadjadj,
  • Mohammed Boulesbaa,
  • Noura Boudi,
  • Hadda Nour El Houda Terea,
  • Hamza Otmani,
  • Boualem Mekimah

摘要

In this paper, we conducted a study to analyse the performance of a 2D photonic crystal biosensor for detecting blood components. This biosensor is constructed using a ring cavity coupled to input and output waveguides and hexagonal structure forms made 15 × 15 of silicon rods with a refractive index of 3.46 in air. Evaluation of the biosensor performance entails examining its ability to accurately distinguish between different wavelengths of resonance, its sensitivity to changes in wavelength, and its overall quality factor. The computed values improve the effectiveness of our biosensor by increasing the quality factor to 1190.461 nm and achieving a significant sensitivity of 60.706 nm/RIU. The results were obtained using advanced simulation techniques, including the Plane Wave Expansion (PWE) and the Finite-Difference Time-Domain (FDTD) methods. The biosensor being showcased has a remarkable level of sensitivity and accuracy. This device is of great significance in medical diagnostics because it can precisely detect even little alterations in the refractive index of blood components.