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Multimodal Analytical Platform on a Multiplexed Surface Plasmon Resonance Imaging Chip for the Analysis of Extracellular Vesicle Subsets
Published on: March 17, 2023
Collection mode surface plasmon fibre sensors: a new biosensing platform
1Institute for Photonics & Advanced Sensing, School of Chemistry & Physics, University of Adelaide, Adelaide, SA, Australia. alexandre.francois@adelaide.edu.au
Biosensors & Bioelectronics
|January 25, 2011
Summary
This study introduces a novel surface plasmon resonance (SPR) biosensing method using light emission from silver-coated optical fibers. This technique offers improved sensitivity and multiplexing capabilities for detecting viruses like influenza A.
Area of Science:
- Optoelectronics
- Biosensing
- Nanotechnology
Background:
- Surface plasmon resonance (SPR) is a label-free optical biosensing technology.
- Current SPR sensors infer plasmon existence indirectly through absorption.
- Surface roughness can induce radiative SPR, emitting light.
Purpose of the Study:
- To demonstrate a novel SPR transducing mechanism using light emission.
- To explore advantages over traditional reflectance-based SPR measurements.
- To enable multiplexed detection and combined sensing modalities.
Main Methods:
- Utilizing silver-coated optical fibers for SPR.
- Investigating light emission from surface roughness-induced plasmons.
- Developing complex sensor architectures for multiplexing and self-referencing.
- Integrating SPR with fluorescence sensing.
Main Results:
- The novel SPR emission mechanism shows lower dependency on metallic thickness.
- Higher signal-to-noise ratio compared to traditional reflectance methods.
- Demonstrated multiplexed detection and dynamic self-referencing.
- Successfully combined SPR and fluorescence sensing in a single device.
- Preliminary detection of seasonal influenza A virus achieved.
Conclusions:
- Radiative SPR from rough silver surfaces offers significant advantages for biosensing.
- The developed fiber-optic platform enables advanced multiplexed and hybrid sensing.
- This approach holds promise for sensitive and versatile pathogen detection, including influenza A.
