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Published on: June 28, 2024
Towards quantitative point of care detection using SERS lateral flow immunoassays
Sian Sloan-Dennison1, Emma O'Connor1, James W Dear2
1Department of Pure and Applied Chemistry, Technology and Innovation Centre, University of Strathclyde, 99 George Street, Glasgow, G1 1RD, UK.
Surface-enhanced Raman scattering (SERS) lateral flow immunoassays (LFIA) offer sensitive, multiplexed detection of biomolecules at the point of care. Portable SERS-LFIA platforms enable rapid, quantitative diagnostics in diverse settings, overcoming limitations of traditional methods.
Area of Science:
- Biomedical Engineering
- Analytical Chemistry
- Nanotechnology
Background:
- Point-of-care (POC) diagnostics require rapid, sensitive, and multiplexed biomolecule detection.
- Paper-based lateral flow immunoassays (LFIA) are low-cost and simple but often lack sensitivity and multiplexing capabilities.
- Traditional detection methods for LFIA struggle with quantitative POC analysis.
Purpose of the Study:
- To review advancements in surface-enhanced Raman scattering (SERS)-based LFIA platforms.
- To highlight progress in multiplexing and portable detection for SERS-LFIA.
- To discuss the future potential of SERS-LFIA for POC diagnostics.
Main Methods:
- Utilizing nanoparticles coated with Raman reporters as labels in LFIA.
- Employing surface-enhanced Raman scattering (SERS) for signal amplification and detection.
- Transitioning SERS analysis from lab-based microscopes to portable Raman instruments.
Main Results:
- SERS-based LFIA demonstrate enhanced sensitivity and multiplexing capabilities for biomolecule detection.
- Portable SERS-LFIA platforms enable rapid, quantitative measurements at the POC without compromising sensitivity.
- The technology overcomes limitations of conventional LFIA, offering a versatile diagnostic tool.
Conclusions:
- SERS-based LFIA represent a significant advancement for sensitive and multiplexed POC diagnostics.
- Portable SERS-LFIA platforms are poised to revolutionize diagnostics in clinical and resource-poor settings.
- The integration of SERS with LFIA offers a promising future for accessible and efficient disease detection.
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