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Research progress of surface-enhanced Raman scattering technology in tumor liquid biopsy
Yuanchao Cao1, Dingyu Rao2, Defa Huang3
1Department of Cardiothoracic Surgery, The Affiliated Hospital of Jiujiang University, Jiujiang, China.
Frontiers in Molecular Biosciences
|May 11, 2026
Summary
Surface-Enhanced Raman Scattering (SERS) offers sensitive and specific tumor detection for early diagnosis. This review highlights SERS applications in liquid biopsy for precision medicine, addressing current challenges and future directions.
Area of Science:
- Biomedical Engineering
- Analytical Chemistry
- Oncology
Background:
- Surface-Enhanced Raman Scattering (SERS) provides high sensitivity and specificity for biological molecule detection.
- There is a growing need for early tumor detection and personalized medicine approaches.
- Liquid biopsy offers a minimally invasive method for accessing tumor-derived biomarkers.
Purpose of the Study:
- To review recent advancements in SERS for detecting key liquid biopsy biomarkers.
- To analyze the advantages of SERS in sensitivity and multiplexed detection of cancer markers.
- To discuss challenges and future perspectives for clinical translation of SERS in oncology.
Main Methods:
- Systematic review of recent literature on SERS applications in liquid biopsy.
- Analysis of SERS performance for detecting exosomes, circulating tumor cells (CTCs), and cell-free DNA (ctDNA).
- Evaluation of SERS advantages, including sensitivity, specificity, and multiplexing capabilities.
Main Results:
- SERS demonstrates significant potential for detecting tumor markers like exosomes, CTCs, and ctDNA in liquid biopsies.
- SERS offers superior sensitivity and the ability for multiplexed detection of multiple biomarkers simultaneously.
- Key challenges include managing signal interference in complex biological matrices and enhancing quantitative accuracy.
Conclusions:
- SERS is a promising technology for early tumor diagnosis and precision oncology via liquid biopsy.
- Overcoming challenges in complex environments and quantification is crucial for clinical adoption.
- Integrating artificial intelligence (AI) and multimodal strategies will advance SERS for precision cancer care.

