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A Silicon-tipped Fiber-optic Sensing Platform with High Resolution and Fast Response
Published on: January 7, 2019
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Sensitive Detection of SARS-CoV-2 Using a Novel Plasmonic Fiber Optic Biosensor Design
Yosra Saad1, Mohamed Hichem Gazzah1, Karine Mougin2
1Laboratory of Quantum and Statistical Physics, Faculty of Sciences of Monastir, University of Monastir, 5019 Monastir, Tunisia.
Plasmonics (Norwell, Mass.)
|May 2, 2022
Summary
A novel fiber optic plasmonic biosensor offers sensitive detection of SARS-CoV-2 (the virus causing COVID-19). This graphene-enhanced configuration provides reliable and reproducible results for pandemic diagnostics.
Area of Science:
- Optoelectronics
- Nanotechnology
- Biosensing
Background:
- The COVID-19 pandemic necessitates rapid and sensitive diagnostic tools.
- Existing biosensors face challenges in sensitivity and reproducibility for viral detection.
- Fiber optic-based plasmonic sensors offer potential for enhanced detection capabilities.
Purpose of the Study:
- To theoretically investigate a novel fiber optic-based plasmonic biosensor for sensitive SARS-CoV-2 detection.
- To achieve reliable, sensitive, and reproducible detection of the virus.
- To enhance molecular adsorption and ligand binding for improved sensing.
Main Methods:
- Proposed a fiber optic plasmonic biosensor configuration utilizing Ag-Au alloy nanoparticle films.
- Incorporated a graphene layer to promote molecular adsorption.
- Utilized a thiol-tethered DNA layer as a specific ligand for SARS-CoV-2 detection.
- Theoretically analyzed sensor performance, including sensitivity and resolution, comparing it with other sensor designs.
Main Results:
- The proposed biosensor configuration demonstrated superior sensitivity (7100 nm/RIU).
- Achieved a good figure of merit (FOM = 38.88) and signal-to-noise ratio (SNR = 0.388).
- Parametric study investigated the impact of graphene layers and nanoparticle size on sensor performance.
Conclusions:
- The novel fiber optic plasmonic biosensor with graphene and DNA ligands shows significant promise for sensitive SARS-CoV-2 detection.
- The integrated approach offers considerable improvements over existing sensor configurations.
- This theoretical insight provides a strong foundation for developing advanced diagnostic tools for infectious diseases.

