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Measurement of Scattering Nonlinearities from a Single Plasmonic Nanoparticle

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Plasmonic Sensors beyond the Phase Matching Condition: A Simplified Approach.

Alessandro Tuniz^1,2, Alex Y Song³, Giuseppe Della Valle^4,5

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 summary is machine-generated.

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.

Keywords:

coupled mode theory directional coupling fibre sensors hybrid plasmonic waveguides photonic integrated circuits plasmonics sensors

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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.