Emerging Plasmonic Nanomaterials for SERS-Based Disease Diagnostics: Innovations, Clinical Challenges, and AI...

Area of Science:

• Biomedical Diagnostics
• Spectroscopy
• Nanotechnology

Background:

• Surface-enhanced Raman spectroscopy (SERS) leverages plasmonic metallic nanostructures to amplify weak Raman signals.
• This technique enables highly sensitive detection of molecular biomarkers at low concentrations.
• SERS is crucial for early disease detection and personalized medicine.

Purpose of the Study:

• To explore the current state of SERS in biomedical applications.
• To highlight SERS' potential in revolutionizing diagnostics and personalized medicine.
• To address limitations and future research directions in SERS technology.

Main Methods:

• Utilizing metallic nanostructures to generate localized electromagnetic fields via surface plasmon resonance.
• Employing SERS assays for detecting cancer biomarkers, circulating tumor DNA (ctDNA), and proteins.
• Integrating Artificial Intelligence (AI) for real-time data analysis and point-of-care testing.

Main Results:

• SERS demonstrates remarkable potential in early-stage detection of cancer biomarkers, ctDNA, and proteins.
• AI-driven analysis enhances the precision and efficiency of SERS-based diagnostics.
• SERS shows promise for timely and targeted medical interventions.

Conclusions:

• SERS is a leading technology for future diagnostic tools, offering sensitive and non-invasive detection.
• Ongoing research in substrate development and AI integration addresses current limitations.
• SERS is poised to significantly impact personalized medicine and early disease diagnosis.