Design considerations of highly sensitive dual resonance metasurface grating biosensor

Area of Science:

• Photonics and Nanotechnology
• Biosensing
• Optical Engineering

Background:

• Accurate monitoring of water salinity and blood glucose is vital for environmental and health applications.
• Existing sensing technologies often face limitations in sensitivity, cost, or complexity.

Purpose of the Study:

• To develop and simulate highly responsive, low-cost optical sensors for water salinity and glucose detection.
• To compare the performance of surface plasmon resonance (SPR) and all-dielectric metasurface sensors.

Main Methods:

• Numerical simulation using finite difference time domain (FDTD) methods with Lumerical software.
• Design and optimization of multilayer grating structures for SPR and all-dielectric sensors.
• Analysis of sensor performance across visible and near-infrared spectral ranges.

Main Results:

• The all-dielectric metasurface sensor achieved a maximum sensitivity of 459 nm/RIU for water salinity and 542 nm/RIU for glucose detection.
• The SPR sensor demonstrated maximum sensitivities of 167 nm/RIU (salinity) and 157 nm/RIU (glucose).
• Both sensor designs were optimized for high sensitivity and accuracy in the specified concentration ranges.

Conclusions:

• The proposed all-dielectric metasurface sensor offers a promising, cost-effective alternative for sensitive salinity and glucose monitoring.
• Optimized optical sensor designs can significantly enhance detection capabilities for critical environmental and biomedical parameters.