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Design Parameter Optimization of a Silicon-Based Grating Waveguide for Performance Improvement in Biochemical Sensor

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Optimizing silicon grating waveguide sensor design enhances refractive index (RI) sensing performance. Proper parameter selection significantly improves transmission extinction for high-performance biochemical sensing applications.

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Area of Science:

  • Photonics and optical sensing
  • Nanotechnology and materials science

Background:

  • Refractive index (RI) sensors are crucial for biochemical detection.
  • Grating waveguide structures offer potential for miniaturized, high-performance sensors.
  • Optimizing design parameters is key to maximizing sensor performance metrics.

Purpose of the Study:

  • To perform numerical analysis and design parameter optimization for a silicon-based grating waveguide RI sensor.
  • To investigate the impact of key design parameters on sensor performance.
  • To enhance the transmission extinction of the RI sensor.

Main Methods:

  • Numerical analysis using the finite-difference time domain (FDTD) method.
  • Systematic variation of grating waveguide parameters: duty ratio, grating period, and etching depth.
  • Evaluation of sensor performance based on full-width at half-maximum (FWHM) and resonance wavelength shift.

Main Results:

  • Identified optimal values for duty ratio, grating period, and etching depth.
  • Demonstrated significant improvement in transmission extinction (>26 dB) for a target bioenvironmental change.
  • Established a clear correlation between design parameters and sensor performance metrics.

Conclusions:

  • Proper design parameter optimization is critical for enhancing grating waveguide RI sensor performance.
  • The developed design procedure enables significant improvements in transmission extinction.
  • Silicon-based grating waveguide sensors are suitable for widespread application in high-performance biochemical sensing.