News Release

Noninvasive on‑skin biosensors for monitoring diabetes mellitus

Peer-Reviewed Publication

Shanghai Jiao Tong University Journal Center

Noninvasive On‑Skin Biosensors for Monitoring Diabetes Mellitus

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  • A comprehensive and critical evaluation of recent advances in sweat-based biochemical and physiological biomarkers for noninvasive diabetes monitoring.
  • A novel emphasis on multimodal sensor integration—combining biochemical and physiological signals—to enhance accuracy, contextual awareness, and reliability in real-time diabetes management.
  • A forward-looking analysis of AI-driven biosensing systems, standardized protocols, and regulatory and ethical frameworks enabling autonomous, secure, and personalized diabetes care.
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Credit: Ali Sedighi, Tianyu Kou, Hui Huang, Yi Li.

As global diabetes prevalence continues to surge, traditional blood-based glucose monitoring remains painful, inconvenient, and poorly adhered to. Now, researchers from The University of Manchester and A*STAR’s Singapore Institute of Manufacturing Technology, led by Dr. Yi Li, have published a comprehensive review on noninvasive on-skin biosensors that analyze sweat and other skin biomarkers for real-time diabetes management. This work offers a roadmap toward painless, continuous metabolic monitoring that could transform daily diabetes care.

Why Noninvasive Skin Biosensors Matter

  • Patient Comfort: Eliminates finger-prick pain, improving compliance and quality of life.
  • Continuous Monitoring: Enables real-time tracking of glucose, lactate, cortisol, and inflammatory cytokines without blood draws.
  • Multimodal Integration: Combines biochemical markers (glucose, BCAAs) with physiological signals (heart rate, blood pressure, sweat rate) for holistic metabolic assessment.
  • AI-Driven Insights: Machine-learning algorithms convert multimodal data into personalized glycemic predictions and early warnings.

Innovative Design and Features

  • Biofluid Targets: Sweat, interstitial fluid, saliva, and tears are reviewed for their biomarker correlations with blood glucose.
  • Sensor Modalities: Electrochemical (enzyme, antibody, aptamer, MIP), optical (colorimetric, fluorescence, SERS), and physical (impedance, temperature, sweat-rate) transduction schemes are compared.
  • Materials Engineering: Flexible, breathable, and self-healing substrates (nanomesh textiles, hydrogels, PDMS, silk fibroin) ensure skin conformity and long-term wear.
  • Microfluidics & Sampling: Advanced capillary-bursting valves, Tesla structures, and iontophoretic stimulation guarantee reliable sweat collection across rest and exercise.
  • Multiplexing & Miniaturization: 3D-printed, laser-engraved, and roll-to-roll printed patches integrate glucose, lactate, pH, temperature, and ECG sensors on a single platform.

Applications and Future Outlook

  • Closed-Loop Therapeutics: Sweat-triggered microneedle patches and thermal drug-delivery films are explored for automatic insulin or metformin release.
  • Digital Health Integration: NFC/Bluetooth low-energy modules transmit encrypted data to smartphones and cloud platforms for telemedicine and population-level analytics.
  • Regulatory Pathways: ISO 20916, FDA SaMD, GDPR, and IVDR compliance strategies are outlined to accelerate clinical translation.
  • Challenges & Opportunities: Standardizing sweat-to-blood correlations, overcoming sensor drift, and ensuring equitable access remain key research priorities.

This comprehensive review provides a definitive guide for developing next-generation wearable biosensors that merge materials science, electronics, and AI to deliver painless, personalized diabetes care. Stay tuned for further innovations from Dr. Yi Li’s team at The University of Manchester!


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