Recent Advances in Raman and Surface-Enhanced Raman Spectroscopy in Biomedical Diagnostics
A special issue of Molecules (ISSN 1420-3049).
Deadline for manuscript submissions: 31 December 2024 | Viewed by 39
Special Issue Editor
Special Issue Information
Dear Colleagues,
Raman and Surface-Enhanced Raman Scattering (SERS) technologies have emerged as powerful analytical techniques with diverse applications, including biomedical diagnostics. These techniques offer several advantages, i.e., higher sensitivity, improved signal-to-noise ratio, and the detection of molecules at low concentrations (SERS). In recent years, SERS and Raman have gained significant attention in biomedical research for their potential in rapid and label-free detection of biomolecules, ranging from small molecules to complex proteins, in biological samples, cells, and matrices like serum, blood plasma, urine, saliva, and tears, emerging as a promising diagnostic tool for various diseases especially for identifying biomarkers. SERS and Raman technologies are applied to detect drugs in urine and serum and cancer-related changes in biofluids and offer a promising alternative by identifying cancer-related changes in biofluids, and they are particularly effective for identifying distinct cancer subtypes based on unique biomarkers such as metabolites, proteins, miRNA, and DNA.
Additionally, the integration of artificial intelligence (AI) with SERS and Raman technologies holds promise for enhancing cancer diagnosis and treatment. AI-based applications can assist in interpreting SERS Raman spectra, aiding healthcare providers in making informed decisions regarding cancer management strategies. SERS and Raman technologies are robust tools in cell biology because of the need for molecular-specific information with high sensitivity, resolution, and real-time capability without inducing cell damage underscores.
Recent advances in SERS and Raman technologies have focused on practical applications in cellular imaging, including drug screening, monitoring cellular signals, in situ sensing, and achieving high spatiotemporal resolution bridging the gap between fundamental research in SERS and Raman and their practical applications in cell biology. Furthermore, in lipid studies, SERS has been applied in investigating protein–membrane interactions in biological processes. The goal here is to identify applications that highlight the versatility and promise of SERS and Raman technologies in advancing biomedical diagnostics and understanding fundamental biological mechanisms and biomedical diagnostics.
Dr. Maria Cristina Gamberini
Guest Editor
Manuscript Submission Information
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Keywords
- Raman
- SERS in biomedical diagnostics
- proteins
- biological samples
- cells
- biological fluids
- AI
