Carbohydrate-based biosensors for enhanced pathogen detection.

Area of Science:

• Biotechnology
• Biosensor Technology
• Carbohydrate Chemistry

Background:

• Carbohydrate-based biosensors leverage specific glycan-protein interactions for pathogen detection.
• These systems offer superior sensitivity, selectivity, and biocompatibility compared to traditional assays.
• They mimic natural recognition mechanisms for robust microbial target capture in complex samples.

Purpose of the Study:

• To review the design principles, detection strategies, and applications of carbohydrate-based biosensors for pathogen identification.
• To highlight advancements in glycan chemistry, nanotechnology, and surface functionalization impacting biosensor performance.
• To underscore the potential of these biosensors in point-of-care diagnostics and infectious disease surveillance.

Main Methods:

• Review of recent literature on carbohydrate-based biosensor design and applications.
• Analysis of glycan chemistry, nanotechnology, and surface functionalization techniques.
• Evaluation of detection strategies and performance metrics for various pathogen targets.

Main Results:

• Carbohydrate-based biosensors demonstrate high sensitivity and selectivity for pathogen detection.
• Advancements in controlling ligand density, orientation, and spatial arrangement enhance biosensor performance.
• These biosensors are effective in complex biological matrices, suitable for diverse applications.

Conclusions:

• Carbohydrate-based biosensors represent a promising alternative to conventional diagnostic methods.
• Optimized design and advanced materials significantly improve biosensor capabilities.
• These platforms hold transformative potential for rapid diagnostics and improved infectious disease surveillance.