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Point-of-care SERS platforms: integrating microfluidics and machine learning for disease screening
Biqing Chen1, Xiaohong Qiu1, Yang Li2
1Department of Gynaecology and Obstetrics, The Second Affiliated Hospital of Harbin Medical University, Harbin Medical University, Heilongjiang 150081, PR China. qiuxiaohong@hrbmu.edu.cn.
Microfluidic surface-enhanced Raman scattering (SERS) platforms offer ultrasensitive, high-throughput bioanalysis. This review details SERS-microfluidic strategies and their applications in biomolecular detection, cellular analysis, and disease diagnostics.
Area of Science:
- Analytical Chemistry
- Biotechnology
- Nanotechnology
Background:
- Advancing life systems and disease research necessitates single-molecule and gene resolution.
- Surface-enhanced Raman scattering (SERS) provides ultrahigh sensitivity for single-molecule detection.
- Microfluidics enables rapid, non-invasive, and high-throughput biological sample analysis.
Purpose of the Study:
- To review recent developments and applications of microfluidic SERS systems in bioanalysis.
- To introduce SERS-microfluidic strategies and their classifications.
- To highlight applications in biomolecular detection, cellular analysis, and disease diagnostics.
Main Methods:
- Integration of SERS with microfluidics to leverage complementary and synergistic effects.
- Classification of SERS-microfluidic strategies including continuous-flow, microarray, droplet-based, lateral flow assay (LFA), and digital formats.
- Review of existing literature on microfluidic SERS applications in bioanalysis.
Main Results:
- Microfluidic SERS platforms enable rapid, non-invasive, ultrasensitive, and high-throughput analysis.
- Demonstrated applications in sensitive biomolecular detection.
- Successful implementation in cellular analysis and disease diagnostics.
Conclusions:
- Microfluidic SERS platforms are a powerful and promising tool for advancing bioanalytical science.
- The interdisciplinary approach of combining SERS and microfluidics is a major focus of current investigations.
- These platforms hold significant potential for biomedical research and clinical applications.
