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

Diabetes is a chronic metabolic disorder that poses a growing global health challenge, currently affecting nearly 500 million people. Over the past four decades, the rising prevalence of diabetes has highlighted the urgent need for innovations in monitoring and management. Traditional enzymatic methods, including those using glucose oxidase, glucose dehydrogenase, and hexokinase, are widely adopted due to their specificity and relative ease of use. However, they are hindered by issues of instability, environmental sensitivity, and interference from other biomolecules. Non-enzymatic sensors, which employ metals and nanomaterials for the direct oxidation of glucose, offer an attractive alternative. These platforms demonstrate higher sensitivity and cost-effectiveness, though they remain under refinement for routine use. Non-invasive glucose detection represents a futuristic leap in diabetes care. By leveraging alternative biofluids such as saliva, tears, sweat, and breath, these methods promise enhanced patient comfort and compliance. Nonetheless, their limited sensitivity continues to challenge widespread adoption. Looking forward, the integration of nanotechnology, wearable biosensors, and artificial intelligence paves the way for personalized, affordable, and patient-centered diabetes management, marking a transformative era in healthcare. This review explores the evolution of glucose monitoring, from early chemical assays to advanced state-of-the-art nanotechnology-based approaches.

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Publication Details

Journal
Biosensors
Published
2026-01-03
DOI
https://doi.org/10.3390/bios16010039
Citations
1
Primary Topic
Electrochemical sensors and biosensors
Type
article
Field-Weighted Citation Impact
21.93

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article

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

Yahya Mostafa Waly, Mohammad Alatoom, Ahmed Alaysereen, Ahmed J. AlAraibi et al.
1 citations
Biosensors
Electrochemical sensors and biosensors
21.93
article

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

Yahya Mostafa Waly, Mohammad Alatoom, Ahmed Alaysereen, Ahmed J. AlAraibi, Abdulrahman Al-Majmuei, G. Roshan Deen, Abdullah Hussain
article en
1 citations

Abstract

Diabetes is a chronic metabolic disorder that poses a growing global health challenge, currently affecting nearly 500 million people. Over the past four decades, the rising prevalence of diabetes has highlighted the urgent need for innovations in monitoring and management. Traditional enzymatic methods, including those using glucose oxidase, glucose dehydrogenase, and hexokinase, are widely adopted due to their specificity and relative ease of use. However, they are hindered by issues of instability, environmental sensitivity, and interference from other biomolecules. Non-enzymatic sensors, which employ metals and nanomaterials for the direct oxidation of glucose, offer an attractive alternative. These platforms demonstrate higher sensitivity and cost-effectiveness, though they remain under refinement for routine use. Non-invasive glucose detection represents a futuristic leap in diabetes care. By leveraging alternative biofluids such as saliva, tears, sweat, and breath, these methods promise enhanced patient comfort and compliance. Nonetheless, their limited sensitivity continues to challenge widespread adoption. Looking forward, the integration of nanotechnology, wearable biosensors, and artificial intelligence paves the way for personalized, affordable, and patient-centered diabetes management, marking a transformative era in healthcare. This review explores the evolution of glucose monitoring, from early chemical assays to advanced state-of-the-art nanotechnology-based approaches.

BiosensorsVol. 16(1)
Royal College of Surgeons in Ireland - Bahrain (BH)
Royal College of Surgeons in Ireland
Openalex Percentile: Top 3%
Electrochemical sensors and biosensors
21.93
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Evolution of Biosensors and Current State-of-the-Art Applications in Diabetes Control — Yahya Mostafa Waly, Mohammad Alatoom, et al. · Biosensors (2026) | TGRS Research Map | TGRS