Evidence map›Paper›PMID 41149321›Full record

ArticleBiosensors2025

Validation of Analytical Models for the Development of Non-Invasive Glucose Measurement Devices.

Bruna Gabriela Pedro, Fernanda Maltauro de Cordova, Yana Picinin Sandri Lissarassa, Fabricio Noveletto, Pedro Bertemes-Filho

Abstract read
In one paragraph

Article in Biosensors, 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

5 authors.

Bruna Gabriela PedroDepartment of Electrical Engineering, Universidade do Estado de Santa Catarina, Joinville 89219-710, Brazil.ORCID 0000-0002-4104-892X
Fernanda Maltauro de CordovaCentro Universitário Católica de Santa Catarina, Joinville 89203-005, Brazil.
Yana Picinin Sandri LissarassaCentro Universitário Católica de Santa Catarina, Joinville 89203-005, Brazil.
Fabricio NovelettoDepartment of Electrical Engineering, Universidade do Estado de Santa Catarina, Joinville 89219-710, Brazil.
Pedro Bertemes-FilhoDepartment of Electrical Engineering, Universidade do Estado de Santa Catarina, Joinville 89219-710, Brazil.ORCID 0000-0002-5264-4874

Funding

Coordenação de Aperfeicoamento de Pessoal de Nível Superior 092384469-46Fundação de Amparo à Pesquisa e Inovação do Estado de Santa Catarina 2023TR504
6 · The paper itself

Abstract

Non-invasive glucose monitoring remains a persistent challenge in the scientific literature due to the complexity of biological samples and the limitations of traditional optical methods. Although advances have been made in the use of near-infrared (NIR) spectrophotometry, the direct application of the Lambert-Beer Law (LBL) to such systems has proven problematic, particularly due to the non-linear behavior observed in complex organic solutions. In this context, the objective of this work is to propose and validate a methodology for the determination of the extinction coefficient of glucose in blood, taking into account the limitations of the LBL and the specificities of molecular interactions. The method was optimized through an iterative process to provide consistent results over multiple replicates. Whole blood and plasma samples from two individuals were analyzed using spectrophotometry in the 700 nm to 1400 nm. The results showed that glucose has a high spectral sensitivity close to 975 nm.The extinction coefficients obtained for glucose (αg) ranged from -0.0045 to -0.0053, and for insulin (αi) from 0.000075 to 0.000078, with small inter-individual variations, indicating strong stability of these parameters. The non-linear behaviour observed in the relationship between absorbance, glucose and insulin concentrations might be explained by the changes imposed by both

Indexed as

Biosensing TechniquesBlood GlucoseGlucoseHumansSpectroscopy, Near-InfraredBlood GlucoseGlucosebiosensordiabetesglucosemolar extinction coefficientspectrophotometry

Identifiers

PMID41149321
PMCPMC12564913

What Socratic 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 Socratic graph.