Related Experiment Video
Updated: Aug 16, 2025

15:06
Measurement of Scattering Nonlinearities from a Single Plasmonic Nanoparticle
Published on: January 3, 2016
12.9K
Plasmonic Sensors beyond the Phase Matching Condition: A Simplified Approach
Alessandro Tuniz1,2, Alex Y Song3, Giuseppe Della Valle4,5
1Institute of Photonics and Optical Science (IPOS), School of Physics, The University of Sydney, Sydney, NSW 2006, Australia.
Sensors (Basel, Switzerland)
|December 23, 2022
Summary
This study introduces a simplified coupled mode theory for optimizing plasmonic waveguide refractive index sensors. The new method enhances sensor design by focusing on propagation constants, improving performance over conventional phase-matching approaches.
Area of Science:
- Photonics and Nanotechnology
- Plasmonics
- Sensor Technology
Background:
- Conventional plasmonic sensor optimization relies on phase matching, often leading to suboptimal performance, even in simple Otto geometry.
- Existing methods for evaluating plasmonic sensor performance can be complex and computationally intensive.
Purpose of the Study:
- To develop a simplified coupled mode theory (CMT) approach for evaluating and optimizing plasmonic waveguide refractive index sensors.
- To provide a rapid and convenient framework for designing dielectric-plasmonic sensor prototypes.
Main Methods:
- A simplified coupled mode theory (CMT) approach is presented, requiring only propagation constant calculations.
- The method avoids the need for complex mode overlap integral calculations, simplifying the analysis.
- The approach is applied to a finite-length silicon-on-insulator-based sensor to evaluate spectral features.
Main Results:
- The simplified CMT accurately predicts wavelength-, device length-, and refractive index-dependent transmission spectra.
- The results are consistent with computationally intensive full-field finite element calculations.
- The method reveals salient spectral features crucial for sensor optimization.
Conclusions:
- The simplified CMT offers a computationally efficient and accurate framework for designing plasmonic waveguide sensors.
- This approach facilitates the rapid prototyping and optimization of refractive index sensors.
- The methodology's applicability extends to fiber plasmonic sensors, broadening its impact.

