Evidence map›Paper›PMID 40807703›Full record

ArticleSensors (Basel, Switzerland)2025

Simultaneous Remote Non-Invasive Blood Glucose and Lactate Measurements by Mid-Infrared Passive Spectroscopic Imaging.

Ruka Kobashi, Daichi Anabuki, Hibiki Yano, Yuto Mukaihara, Akira Nishiyama, Kenji Wada, Akiko Nishimura, Ichiro Ishimaru

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Ruka KobashiGraduate School of Science for Creative Emergence, Kagawa University, 2217-20 Hayashi-cho, Takamatsu 761-0396, Kagawa, Japan.
Daichi AnabukiGraduate School of Science for Creative Emergence, Kagawa University, 2217-20 Hayashi-cho, Takamatsu 761-0396, Kagawa, Japan.
Hibiki YanoGraduate School of Science for Creative Emergence, Kagawa University, 2217-20 Hayashi-cho, Takamatsu 761-0396, Kagawa, Japan.
Yuto MukaiharaGraduate School of Science for Creative Emergence, Kagawa University, 2217-20 Hayashi-cho, Takamatsu 761-0396, Kagawa, Japan.
Akira NishiyamaFaculty of Medicine, Kagawa University, 1750-1 Miki-cho, Kita 761-0793, Kagawa, Japan.
Kenji WadaFaculty of Medicine, Kagawa University, 1750-1 Miki-cho, Kita 761-0793, Kagawa, Japan.
Akiko NishimuraFaculty of Medicine, Kagawa University, 1750-1 Miki-cho, Kita 761-0793, Kagawa, Japan.
Ichiro IshimaruFaculty of Engineering and Design, Kagawa University, 2217-20 Hayashi-cho, Takamatsu 761-0396, Kagawa, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Mid-infrared passive spectroscopic imaging is a novel non-invasive and remote sensing method based on Planck's law. It enables the acquisition of component-specific information from the human body by measuring naturally emitted thermal radiation in the mid-infrared region. Unlike active methods that require an external light source, our passive approach harnesses the body's own emission, thereby enabling safe, long-term monitoring. In this study, we successfully demonstrated the simultaneous, non-invasive measurements of blood glucose and lactate levels of the human body using this method. The measurements, conducted over approximately 80 min, provided emittance data derived from mid-infrared passive spectroscopy that showed a temporal correlation with values obtained using conventional blood collection sensors. Furthermore, to evaluate localized metabolic changes, we performed k-means clustering analysis of the spectral data obtained from the upper arm. This enabled visualization of time-dependent lactate responses with spatial resolution. These results demonstrate the feasibility of multi-component monitoring without physical contact or biological sampling. The proposed technique holds promise for translation to medical diagnostics, continuous health monitoring, and sports medicine, in addition to facilitating the development of next-generation healthcare technologies.

Indexed as

Blood GlucoseLactic AcidHumansSpectrophotometry, InfraredBlood GlucoseLactic Acidmid-infrared passive spectroscopynon-invasive glucose measurementnon-invasive lactate measurementsimultaneous non-invasive measurements

Identifiers

PMID40807703
PMCPMC12349294

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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.