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

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.