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MATLAB simulation based study on poliovirus sensing through one-dimensional photonic crystal with defect.

Arafa H Aly1, B A Mohamed2, S K Awasthi3

  • 1TH-PPM Group, Physics Department, Faculty of Sciences, Beni-Suef University, Beni Suef, 62514, Egypt. arafa.hussien@science.bsu.edu.eg.

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This study introduces a novel poliovirus sensor using a one-dimensional photonic crystal. The designed sensor efficiently detects poliovirus in water by measuring refractive index changes, achieving high sensitivity.

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Area of Science:

  • Photonics
  • Biosensing
  • Nanotechnology

Background:

  • Poliovirus contamination in water poses a significant public health risk.
  • Developing rapid and sensitive detection methods for poliovirus is crucial for water safety.
  • Photonic crystals offer unique optical properties for highly sensitive biosensing applications.

Purpose of the Study:

  • To theoretically design and optimize a one-dimensional photonic crystal sensor for detecting poliovirus.
  • To investigate the sensor's performance based on variations in refractive index due to poliovirus concentration.
  • To achieve high sensitivity and a low limit of detection for poliovirus in water samples.

Main Methods:

  • Utilized the transfer matrix method (TMM) for theoretical analysis.
  • Employed MATLAB software for numerical simulations and sensor design.
  • Investigated the impact of defect layer thickness, period number, and incident angle on sensor performance.

Main Results:

  • Optimized sensor structure achieved maximum performance at a defect layer thickness of 1200 nm, period number of 10, and incident angle of 40°.
  • Attained a maximum sensitivity of 1189.65517 nm/RIU at a poliovirus concentration of 0.005 g/ml.
  • Reported high values for figure of merit (2618.28446 RIU⁻¹), quality factor (3102.06475), and signal-to-noise ratio (2.27791).

Conclusions:

  • The proposed one-dimensional photonic crystal sensor demonstrates excellent potential for sensitive and efficient poliovirus detection in water.
  • The theoretical design provides a foundation for developing practical biosensing devices for water quality monitoring.
  • Further experimental validation is recommended to confirm the simulated performance metrics.