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Design and Optimization of a Gold and Silver Nanoparticle-Based SERS Biosensing Platform
Soumyadeep Saha1,2, Manoj Sachdev2, Sushanta K Mitra1
1Micro and Nanoscale Transport Laboratory, Department of Mechanical & Mechatronics Engineering, Waterloo Institute for Nanotechnology, University of Waterloo, Waterloo, ON N2L 3G1, Canada.
Sensors (Basel, Switzerland)
|February 26, 2025
Summary
This study optimized nanoparticle arrangements for surface-enhanced Raman scattering (SERS) biosensors using simulations. The findings enable enhanced sensitivity and specificity for biomolecule detection in diagnostics.
Area of Science:
- Nanotechnology
- Biophysics
- Analytical Chemistry
Background:
- Surface-enhanced Raman scattering (SERS) biosensors offer high sensitivity for biomolecule detection.
- Optimization of nanoparticle configurations is key to improving SERS performance.
- Computational simulations provide a powerful tool for designing and refining SERS platforms.
Purpose of the Study:
- To investigate nanoparticle-based SERS biosensor design and optimization using COMSOL Multiphysics simulations.
- To enhance the sensitivity and specificity of SERS biosensors for precise biomolecule detection.
- To explore the impact of nanoparticle arrangement and polarization on SERS signal enhancement.
Main Methods:
- Utilized COMSOL Multiphysics simulations to model gold and silver nanoparticles in various configurations (single, multiple, periodic).
- Analyzed the effects of polarization and local hotspot switching in nanosphere systems (trimers, tetramers).
- Fabricated a SERS biosensing platform with self-assembled gold nanoparticles on silicon, using methylene blue as a probe, to validate simulation results.
Main Results:
- Simulation-based optimization of nanoparticle arrangements significantly impacts SERS signal enhancement.
- Identified optimal configurations for gold and silver nanoparticles to maximize sensitivity.
- Experimental validation confirmed the simulation findings, demonstrating the platform's potential.
Conclusions:
- Simulation is a feasible approach for optimizing SERS biochip design.
- The developed methodology can be extended to various nanostructures for advanced biosensing.
- This work advances the development of highly sensitive and specific SERS biosensors for diagnostics and analytics.
