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In this paper, photonic crystal (PhC) sensor for analysis and modelling for viral and bacterial detection is proposed. Optical biosensors detect cancer, Bacillus cereus, malaria, typhoid, tuberculosis, etc. Optical biosensors work by shifting the peak resonance wavelength with modest refractive index changes. Because viral pathogens rapidly mutate and replicate in the human cell nucleus, sensors that offer accurate results for viral and bacterial diseases in seconds are in high demand. Hence, optical biosensors provide fast, sensitive results. The sensor detects influenza H1N1, hepatitis B (HBV), and typhoid, respectively. A maximum sensitivity of 443.33 nm/RIU with a quality factor of 1309 is obtained. Simulations are performed using finite-difference time-domain (FDTD).

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2D Photonic Crystal for the Detection of Infectious Virus and Bacterial Diseases

  • 会议论文

  • 发表日期：

    2025年

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  • M. A. Ibrar Jahan,
  • V. R. Balaji,
  • Gopalkrishna Hegde,
  • Jeswanth Sugesh,
  • Richards Joe Stanislaus,
  • R. G. Sangeetha

摘要

In this paper, photonic crystal (PhC) sensor for analysis and modelling for viral and bacterial detection is proposed. Optical biosensors detect cancer, Bacillus cereus, malaria, typhoid, tuberculosis, etc. Optical biosensors work by shifting the peak resonance wavelength with modest refractive index changes. Because viral pathogens rapidly mutate and replicate in the human cell nucleus, sensors that offer accurate results for viral and bacterial diseases in seconds are in high demand. Hence, optical biosensors provide fast, sensitive results. The sensor detects influenza H1N1, hepatitis B (HBV), and typhoid, respectively. A maximum sensitivity of 443.33 nm/RIU with a quality factor of 1309 is obtained. Simulations are performed using finite-difference time-domain (FDTD).