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

25Citations
Citations of this article
28Readers
Mendeley users who have this article in their library.

This article is free to access.

Abstract

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.

References Powered by Scopus

Statistical process control of multivariate processes

1095Citations
N/AReaders
Get full text

Electrochemical glucose sensors in diabetes management: An updated review (2010-2020)

632Citations
N/AReaders
Get full text

Continuous Glucose Monitoring: A Review of Successes, Challenges, and Opportunities

549Citations
N/AReaders
Get full text

Cited by Powered by Scopus

High-precision prediction of blood glucose concentration utilizing Fourier transform Raman spectroscopy and an ensemble machine learning algorithm

13Citations
N/AReaders
Get full text

Electrospun Manganese-Based Metal-Organic Frameworks for MnO<inf>x</inf> Nanostructures Embedded in Carbon Nanofibers as a High-Performance Nonenzymatic Glucose Sensor

11Citations
N/AReaders
Get full text

A new rectangular dielectric resonator sensor for glucose measurement: Design, modeling, and experimental validation

6Citations
N/AReaders
Get full text

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Cite

CITATION STYLE

APA

Pors, A., Rasmussen, K. G., Inglev, R., Jendrike, N., Philipps, A., Ranjan, A. G., … Weber, A. (2023). Accurate Post-Calibration Predictions for Noninvasive Glucose Measurements in People Using Confocal Raman Spectroscopy. ACS Sensors, 8(3), 1272–1279. https://doi.org/10.1021/acssensors.2c02756

Readers over time

‘23‘24‘2505101520

Readers' Seniority

Tooltip

PhD / Post grad / Masters / Doc 4

44%

Researcher 3

33%

Professor / Associate Prof. 2

22%

Readers' Discipline

Tooltip

Chemistry 4

44%

Engineering 3

33%

Materials Science 1

11%

Computer Science 1

11%

Article Metrics

Tooltip
Mentions
References: 1

Save time finding and organizing research with Mendeley

Sign up for free
0