Evidence map›Paper›PMID 29348411›Full record

ArticleScientific reports2018

In vivo Microscopic Photoacoustic Spectroscopy for Non-Invasive Glucose Monitoring Invulnerable to Skin Secretion Products.

Joo Yong Sim, Chang-Geun Ahn, Eun-Ju Jeong, Bong Kyu Kim

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 62 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
62citing papers in PubMed, 1 pooled it
14.5field-weighted citation impact, top 1% of its field
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

62 citing papers in PubMed, 1 synthesis or guideline pooled it, 158 citations in OpenAlex.

  1. Pooled it
  2. Photoacoustic Fingerprinting for Robust Molecular Imaging.bioRxiv : the preprint server for biology · 2026
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2 more citing papers are in PubMed but not listed here.

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

4 authors at 1 institution in 1 country.

Joo Yong SimBio-Medical IT Convergence Research Department, Electronics and Telecommunications Research Institute, Daejeon, 34129, Korea.ORCID http://orcid.org/0000-0003-3779-7589
Chang-Geun AhnBio-Medical IT Convergence Research Department, Electronics and Telecommunications Research Institute, Daejeon, 34129, Korea.
Eun-Ju JeongBio-Medical IT Convergence Research Department, Electronics and Telecommunications Research Institute, Daejeon, 34129, Korea.
Bong Kyu KimBio-Medical IT Convergence Research Department, Electronics and Telecommunications Research Institute, Daejeon, 34129, Korea. bongkim@etri.re.kr.
Electronics and Telecommunications Research Institute · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Photoacoustic spectroscopy has been shown to be a promising tool for non-invasive blood glucose monitoring. However, the repeatability of such a method is susceptible to changes in skin condition, which is dependent on hand washing and drying due to the high absorption of infrared excitation light to the skin secretion products or water. In this paper, we present a method to meet the challenges of mid-infrared photoacoustic spectroscopy for non-invasive glucose monitoring. By obtaining the microscopic spatial information of skin during the spectroscopy measurement, the skin region where the infrared spectra is insensitive to skin condition can be locally selected, which enables reliable prediction of the blood glucose level from the photoacoustic spectroscopy signals. Our raster-scan imaging showed that the skin condition for in vivo spectroscopic glucose monitoring had significant inhomogeneities and large variability in the probing area where the signal was acquired. However, the selective localization of the probing led to a reduction in the effects of variability due to the skin secretion product. Looking forward, this technology has broader applications not only in continuous glucose monitoring for diabetic patient care, but in forensic science, the diagnosis of malfunctioning sweat pores, and the discrimination of tumors extracted via biopsy.

Indexed as

Biosensing TechniquesMicroscopy, AcousticPhotoacoustic TechniquesSkin Physiological PhenomenaSpectrum AnalysisGlucoseHumansImage Processing, Computer-AssistedSkinGlucose

Identifiers

PMID29348411
PMCPMC5773698
OpenAlexW2784302188

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.