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A Single-Wavelength Near-Infrared Photoacoustic Spectroscopy for Noninvasive Glucose Detection Using Machine

Abdulrahman Aloraynan1, Eunice Chu2,3, Jishen Wang2,3

  • 1Department of Electrical Engineering, Umm Al-Qura University, Makkah 21955, Saudi Arabia.

Bioengineering (Basel, Switzerland)
|May 4, 2026
PubMed
Summary
This summary is machine-generated.

A new noninvasive photoacoustic system uses near-infrared spectroscopy for blood glucose monitoring. This advanced optical technique achieves high accuracy, meeting regulatory standards for diabetes management.

Keywords:
machine learningnear-infrared spectroscopynoninvasive glucose detectionphotoacoustic spectroscopy

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Area of Science:

  • Biomedical Optics
  • Medical Devices
  • Spectroscopy

Background:

  • Diabetes affects 589 million adults globally, necessitating improved blood glucose monitoring.
  • Noninvasive monitoring methods are highly sought after for convenient diabetes management.
  • Optical spectroscopy shows promise for noninvasive glucose detection.

Purpose of the Study:

  • To develop and evaluate a novel noninvasive photoacoustic system for blood glucose monitoring.
  • To assess the system's sensitivity and accuracy across a clinically relevant glucose range.
  • To apply machine learning for enhanced glucose classification.

Main Methods:

  • A photoacoustic system utilizing a 1625 nm near-infrared laser was developed.
  • Artificial skin phantoms with varying glucose concentrations were used for evaluation.
  • K-nearest neighbours and wide neural network models were employed for data analysis.

Main Results:

  • The system demonstrated a detection sensitivity of ±15 mg/dL for blood glucose.
  • Machine learning models achieved prediction accuracies of 80.0% (KNN) and 81.5% (NN).
  • 100% of predictions fell within zones A and B of Clarke's error grid analysis.

Conclusions:

  • The developed photoacoustic system offers a sensitive and accurate noninvasive method for blood glucose monitoring.
  • The system's performance meets regulatory standards set by Health Canada and the FDA.
  • This technology represents a significant advancement in noninvasive diabetes management tools.