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Amplifying Sensing Capabilities: Combining Plasmonic Resonances and Fresnel Reflections through Multivariate Analysis
Jaione Etxebarria-Elezgarai1, Luca Bergamini2,3, Eneko Lopez1,4
1CIC nanoGUNE BRTA, Tolosa Hiribidea 76, San Sebastian, 20018, Spain.
Small Methods
|February 14, 2024
Summary
This study enhances biosensing performance using gold nanodiscs and machine learning. The innovative approach significantly boosts analytical sensitivity and sensor resolution for improved detection.
Area of Science:
- Nanotechnology
- Biosensing
- Optics
Background:
- Multivariate analysis improves biosensing by extracting key information and mitigating noise.
- Plasmonic sensors offer high sensitivity for detecting dielectric changes.
Purpose of the Study:
- To enhance biosensing performance using gold nanodiscs as a metasurface in a Kretschmann setup.
- To leverage machine learning and multivariate analysis for improved analytical sensitivity and resolution.
Main Methods:
- Utilized gold nanodiscs as a metasurface in a Kretschmann configuration.
- Employed machine learning to analyze features from the reflectance curve.
- Integrated the metasurface with a microfluidic chamber to incorporate Fresnel reflections.
Main Results:
- Engineered metasurface generated novel plasmonic features beyond classical Kretschmann resonance.
- Integrated device provided additional spectral features from Fresnel reflections.
- Multivariate analysis enhanced analytical sensitivity by over 200% and sensor resolution by 20%, reducing prediction errors by 40%.
Conclusions:
- The combination of plasmonic metasurfaces and Fresnel reflections significantly improves biosensing capabilities.
- This approach offers enhanced detection performance applicable to commonly available setups.
