Sensing the Future-Frontiers in Biosensors: Exploring Classifications, Principles, and Recent Advances

Area of Science:

• Biomedical Engineering
• Analytical Chemistry
• Medical Diagnostics

Background:

• Biosensors integrate biological recognition elements with physical transducers for biomarker detection.
• They are crucial for diagnosing diseases, managing treatments, and monitoring patient health in real-time.
• Current biosensor classification relies on transducer type or biorecognition element, with a need for broader categorization.

Purpose of the Study:

• To provide a comprehensive overview of biosensor technology in healthcare.
• To examine various biosensor categories, their applications, and emerging trends.
• To discuss challenges and future prospects of biosensors in clinical settings.

Main Methods:

• Review of existing literature on biosensor technology and applications.
• Analysis of different biosensor classification systems, including a novel substrate morphology-based approach.
• Exploration of advancements in nanotechnology, point-of-care diagnostics, and smart biosensors.

Main Results:

• Biosensors are vital for detecting biomarkers like glucose, proteins, and nucleic acids for various diseases.
• Nanotechnology has enhanced biosensor sensitivity, selectivity, and miniaturization.
• Integration with wearable devices and AI is paving the way for continuous health monitoring and personalized medicine.

Conclusions:

• Biosensors represent a significant advancement in healthcare diagnostics, offering efficiency and accessibility.
• Addressing challenges like stability, reproducibility, and regulatory approval is key for widespread clinical adoption.
• The future of biosensors, particularly smart biosensors, promises to revolutionize medical diagnostics and patient care through AI and IoMT integration.