A revised LRSPR sensor with sharp reflection spectrum

Area of Science:

• Optoelectronics
• Nanotechnology
• Spectroscopy

Background:

• Surface Plasmon Resonance (SPR) sensors offer high sensitivity for detecting analytes.
• Achieving sharp reflection spectra in SPR sensors is crucial for enhanced resolution and performance.
• Existing LRSPR sensor designs may have limitations in spectral sharpness.

Purpose of the Study:

• To propose and analyze a novel long-range surface plasmon resonance (LRSPR) sensor.
• To achieve a sensor with a sharp reflection spectrum for improved detection capabilities.
• To optimize the sensor's parameters through comprehensive simulation.

Main Methods:

• Fabrication of a sensor structure comprising a glass prism, a (A/B)4-type waveguide-coupled layer, and a metal layer.
• Simulation of the optical properties and reflection spectrum of the LRSPR sensor.
• Systematic analysis of various factors influencing the sensor's spectral characteristics.

Main Results:

• The proposed LRSPR sensor exhibits a sharp reflection spectrum.
• Simulation results demonstrate the impact of different structural and material parameters on spectral features.
• Optimal parameters for achieving the sharpest reflection spectrum were identified.

Conclusions:

• The novel LRSPR sensor design successfully achieves a sharp reflection spectrum.
• The simulation-based optimization provides a pathway for fabricating high-performance LRSPR sensors.
• This work contributes to the development of advanced optical sensing technologies.