Accurate Post-Calibration Predictions for Noninvasive Glucose Measurements in People Using Confocal Raman Spectroscopy

Anders Pors, Kaspar G. Rasmussen, Rune Inglev, Nina Jendrike, Amalie Philipps, Ajenthen G. Ranjan, Vibe Vestergaard, Jan E. Henriksen, Kirsten Nørgaard, Guido Freckmann, Karl D. Hepp, Michael C. Gerstenberg, Anders Weber*

*Corresponding author for this work

Research output: Contribution to journalJournal articleResearchpeer-review

12 Downloads (Pure)


In diabetes prevention and care, invasiveness of glucose measurement impedes efficient therapy and hampers the identification of people at risk. Lack of calibration stability in non-invasive technology has confined the field to short-term proof of principle. Addressing this challenge, we demonstrate the first practical use of a Raman-based and portable non-invasive glucose monitoring device used for at least 15 days following calibration. In a home-based clinical study involving 160 subjects with diabetes, the largest of its kind to our knowledge, we find that the measurement accuracy is insensitive to age, sex, and skin color. A subset of subjects with type 2 diabetes highlights promising real-life results with 99.8% of measurements within A + B zones in the consensus error grid and a mean absolute relative difference of 14.3%. By overcoming the problem of calibration stability, we remove the lingering uncertainty about the practical use of non-invasive glucose monitoring, boding a new, non-invasive era in diabetes monitoring.

Original languageEnglish
JournalACS Sensors
Issue number3
Pages (from-to)1272-1279
Publication statusPublished - 24. Mar 2023

Bibliographical note

Publisher Copyright:
© 2023 The Authors. Published by American Chemical Society.


  • calibration stability
  • diabetes
  • in vivo Raman spectroscopy
  • multivariate data analysis
  • non-invasive glucose monitoring
  • portable sensor
  • tissue diagnostics


Dive into the research topics of 'Accurate Post-Calibration Predictions for Noninvasive Glucose Measurements in People Using Confocal Raman Spectroscopy'. Together they form a unique fingerprint.

Cite this