Related Experiment Video
Updated: Oct 12, 2025

04:47
Multimodal Optical Imaging Platform for Studying Cellular Metabolism
Published on: June 6, 2025
721
Multiplexed Liquid Biopsy and Tumor Imaging Using Surface-Enhanced Raman Scattering.
1Department of Electrical and Information Engineering, Polytechnic University of Bari, 70125 Bari, Italy.
Biosensors
|November 25, 2021
Summary
Surface-enhanced Raman scattering (SERS) significantly improves cancer care by enhancing liquid biopsy and oncological imaging. This review highlights SERS applications for early tumor detection and monitoring, demonstrating its clinical potential.
Area of Science:
- Biomedical Engineering
- Analytical Chemistry
- Oncology
Background:
- Advances in liquid biopsy and oncological imaging have improved cancer diagnosis and care.
- Surface-enhanced Raman scattering (SERS) offers high sensitivity for molecular detection.
- SERS is applicable to early tumor detection, characterization, and monitoring.
Purpose of the Study:
- To review recent developments and trends in SERS applications for liquid biopsy and tumor imaging.
- To emphasize the clinical utility of SERS in oncology.
- To explore SERS for in vivo tumor targeting and drug release monitoring.
Main Methods:
- Review of recent scientific literature on SERS applications in liquid biopsy and tumor imaging.
- Critical analysis of studies demonstrating clinical utility.
- Focus on SERS techniques for biomarker detection and in vivo imaging.
Main Results:
- SERS provides single-molecule detection sensitivity, beneficial for cancer biomarker identification.
- Emerging SERS applications include in vivo tumor imaging and drug release monitoring.
- Several SERS-based approaches show promise for clinical application in oncology.
Conclusions:
- SERS is a powerful technique with significant potential to advance liquid biopsy and oncological imaging.
- Further research and development are needed to fully realize the clinical utility of SERS in cancer care.
- SERS-based diagnostics and monitoring could lead to more personalized and effective cancer treatments.

