Evolution of Biosensors and Current State-of-the-Art Applications in Diabetes Control

Area of Science:

• Biomedical Engineering
• Analytical Chemistry
• Endocrinology

Background:

• Diabetes mellitus is a chronic metabolic disorder affecting nearly 500 million people globally.
• Rising diabetes prevalence necessitates advancements in monitoring and management techniques.
• Traditional enzymatic glucose assays face limitations in stability and interference.

Purpose of the Study:

• To review the evolution of glucose monitoring technologies.
• To compare enzymatic, non-enzymatic, and non-invasive glucose detection methods.
• To explore the future of diabetes management through nanotechnology and AI.

Main Methods:

• Review of scientific literature on glucose monitoring techniques.
• Analysis of traditional enzymatic methods (e.g., glucose oxidase).
• Evaluation of non-enzymatic sensors utilizing metals and nanomaterials.
• Assessment of non-invasive detection using alternative biofluids (saliva, tears, sweat, breath).

Main Results:

• Enzymatic methods offer specificity but suffer from instability and interference.
• Non-enzymatic sensors show higher sensitivity and cost-effectiveness but require further refinement.
• Non-invasive methods enhance patient comfort but face sensitivity challenges.
• Nanotechnology, wearable biosensors, and AI are key to future personalized diabetes care.

Conclusions:

• Glucose monitoring has advanced from chemical assays to sophisticated nanotechnology-based approaches.
• Future diabetes management will be personalized, affordable, and patient-centered.
• Continued innovation is crucial for addressing the global diabetes health challenge.