Advanced Computational Techniques for Plasmonic Metasurfaces in the Detection of Neglected Infectious Diseases

Area of Science:

• Biotechnology
• Nanotechnology
• Medical Diagnostics

Background:

• Traditional diagnostic methods for neglected infectious diseases often suffer from slow results and high costs.
• There is a need for advanced diagnostic tools that are both sensitive and cost-effective.
• Plasmonic metasurfaces offer a promising platform for overcoming these limitations.

Purpose of the Study:

• To provide a comprehensive tutorial on integrating plasmonic metasurfaces for sensitive diagnostic assays.
• To highlight the application of plasmonic metasurfaces in addressing neglected infectious diseases.
• To explore the complete development cycle of AI-driven plasmonic metasurfaces for diagnostics.

Main Methods:

• Biofunctionalization strategies for targeted detection.
• Advanced fabrication techniques for creating plasmonic metasurfaces.
• Integration of artificial intelligence (AI) for optimization.

Main Results:

• Plasmonic metasurfaces enable highly sensitive detection of disease biomarkers.
• This approach offers a transformative solution to limitations of traditional diagnostic assays.
• The tutorial outlines pathways for developing cost-effective and rapid diagnostic tools.

Conclusions:

• Plasmonic metasurfaces represent a cutting-edge tool for developing advanced diagnostic assays.
• The technology has the potential to significantly improve diagnostics for neglected infectious diseases.
• Addressing scalability, regulatory, and point-of-care challenges is crucial for widespread implementation.