ArticleNature metabolism2025
Subcutaneous depth-selective spectral imaging with mμSORS enables noninvasive glucose monitoring.
Article in Nature metabolism, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed.
- SERS-Enabled Direct Detection of Furfural in a Complex Oil Mixture.Sensors (Basel, Switzerland) · 2026Article
- Enzyme-Activated MRI for In Vivo Glucose Imaging via a Biodegradable Chromium Nanoprobe.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- A Flexible Wearable Glucose Sensor for Noninvasive Diabetes Screening: Functional Equivalence and Model Interpretability.Biosensors · 2026Article
- Photoacoustic Noninvasive Blood Glucose Monitoring: A Review of Systems and Strategies for Robust Glucose Concentration Estimation, with Perspectives on Miniaturization and Wearability.Sensors (Basel, Switzerland) · 2026Review
- AI-enhanced non-invasive monitoring of critical biochemical analytes in perioperative care: a review of signal processing and clinical applications.Frontiers in physiology · 2026Review
- Robust and ultra-stable nanohesive-based solid-like slippery coating under dynamic blood flow environment for durable prevention of thrombosis and biofouling.Materials today. Bio · 2025Article
- Optical Non-Invasive Glucose Monitoring Using Aqueous Humor: A Review.Sensors (Basel, Switzerland) · 2025Review
- Scalable miniature on-chip Fourier transform spectrometer for Raman spectroscopy.Light, science & applications · 2025Article
- Calibration and performance of a Raman-based device for non-invasive glucose monitoring in type 2 diabetes.Scientific reports · 2025Article
- A future without needles: non-invasive glucose measurements in patients with diabetes.Nature metabolism · 2025Article
Corrections and comments
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Authors and funding
19 authors.
Funding
Abstract
Noninvasive blood glucose monitoring offers substantial advantages for patients, but current technologies are often not sufficiently accurate for clinical applications or require personalized calibration. Here we report multiple μ-spatially offset Raman spectroscopy, which captures Raman signals at varying skin depths, and show that it accurately detects blood glucose levels in humans. In 35 individuals with or without type 2 diabetes, we first determine the optimal depth for glucose detection to be at or below the capillary-rich dermal-epidermal junction, where we observe a strong correlation between specific Raman bands and venous plasma glucose concentrations. In a second study, comprising 230 participants, we then improve accuracy of our regression model to reach a mean absolute relative difference of 14.6%, without personalized calibration, whereby 99.4% of calculated glucose values fall into clinically acceptable zones of the consensus error grid (zones A and B). These findings highlight the ability and robustness of multiple μ-spatially offset Raman spectroscopy for noninvasive blood glucose measurement in a clinical setting.
Indexed as
Identifiers
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Registered trials
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