ArticleBiomedical optics express2014
Noninvasive in vivo glucose sensing on human subjects using mid-infrared light.
Article in Biomedical optics express, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 1 of them a synthesis that pooled it.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
26 citing papers in PubMed, 1 synthesis or guideline pooled it.
- A Concise and Systematic Review on Non-Invasive Glucose Monitoring for Potential Diabetes Management.Biosensors · 2022Pooled it
- Clinical validation of noninvasive blood glucose measurements by midinfrared spectroscopy.Communications medicine · 2025Article
- Surface-emitting ring quantum cascade lasers.Nanophotonics (Berlin, Germany) · 2025Review
- Optical Non-Invasive Glucose Monitoring Using Aqueous Humor: A Review.Sensors (Basel, Switzerland) · 2025Review
- Analysis of glucose concentrations in blood solutions using FTIR and Raman spectroscopy methods.Biomedical optics express · 2025Article
- Noninvasive blood glucose monitoring using a dual band microwave sensor with machine learning.Scientific reports · 2025Article
- Effects of Skin Blood Flow Fluctuations on Non-Invasive Glucose Measurement and a Feasible Blood Flow Control Method.Sensors (Basel, Switzerland) · 2025Article
- Mid-Infrared Photonic Sensors: Exploring Fundamentals, Advanced Materials, and Cutting-Edge Applications.Sensors (Basel, Switzerland) · 2025Review
- Augmenting authenticity for non-invasive in vivo detection of random blood glucose with photoacoustic spectroscopy using Kernel-based ridge regression.Scientific reports · 2024Article
- Non-invasive blood glucose estimation method based on the phase delay between oxy- and deoxyhemoglobin using visible and near-infrared spectroscopy.Journal of biomedical optics · 2024Article
- Noninvasive Glucose Sensing In Vivo.Sensors (Basel, Switzerland) · 2023Review
- Glucose diagnosis system combining machine learning and NIR photoacoustic multispectral using a low power CW laser.Biomedical optics express · 2023Article
- WiFi-Based Detection of Human Subtle Motion for Health Applications.Bioengineering (Basel, Switzerland) · 2023Article
- Non-Invasive Monitoring of Human Health by Photoacoustic Spectroscopy.Sensors (Basel, Switzerland) · 2022Review
- A Review of Non-Invasive Optical Systems for Continuous Blood Glucose Monitoring.Sensors (Basel, Switzerland) · 2021Review
- Glucose Level Sensing Using Single Asymmetric Split Ring Resonator.Sensors (Basel, Switzerland) · 2021Article
- Non-Invasive Glucose Monitoring Using Optical Sensor and Machine Learning Techniques for Diabetes Applications.IEEE access : practical innovations, open solutions · 2021Article
- Adaptive Boosting Based Personalized Glucose Monitoring System (PGMS) for Non-Invasive Blood Glucose Prediction with Improved Accuracy.Diagnostics (Basel, Switzerland) · 2020Article
- Direct observation of glucose fingerprint using in vivo Raman spectroscopy.Science advances · 2020Article
- Infrared Spectroscopy with a Fiber-Coupled Quantum Cascade Laser for Attenuated Total Reflection Measurements Towards Biomedical Applications.Sensors (Basel, Switzerland) · 2019Article
Corrections and comments
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Mid-infrared quantum cascade laser spectroscopy is used to noninvasively predict blood glucose concentrations of three healthy human subjects in vivo. We utilize a hollow-core fiber based optical setup for light delivery and collection along with a broadly tunable quantum cascade laser to obtain spectra from human subjects and use standard chemo-metric techniques (namely partial least squares regression) for prediction analysis. Throughout a glucose concentration range of 80-160 mg/dL, we achieve clinically accurate predictions 84% of the time, on average. This work opens a new path to a noninvasive in vivo glucose sensor that would benefit the lives of hundreds of millions of diabetics worldwide.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.