Evidence map›Paper›PMID 39997011›Full record

ArticleBiosensors2025

An Embroidered Electrochemical Sensor to Measure Glucose Made with Commercially Available Textile Materials.

Marc Martínez-Estrada, Ignacio Gil, Raúl Fernández-García

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

3 authors.

Marc Martínez-EstradaDepartament of Electronic Engineering, Escuela Superior de Ingenierías Industrial, Aeroespacial y Audiovisual, Universitat Politecnica de Catalunya, c/Colom 1, 08222 Terrassa, Spain.ORCID 0000-0002-2922-891X
Ignacio GilDepartament of Electronic Engineering, Escuela Superior de Ingenierías Industrial, Aeroespacial y Audiovisual, Universitat Politecnica de Catalunya, c/Colom 1, 08222 Terrassa, Spain.ORCID 0000-0002-7175-5756
Raúl Fernández-GarcíaDepartament of Electronic Engineering, Escuela Superior de Ingenierías Industrial, Aeroespacial y Audiovisual, Universitat Politecnica de Catalunya, c/Colom 1, 08222 Terrassa, Spain.ORCID 0000-0002-4030-7256

Funding

Agencia Estatal De Investigacion PID2021-124288OB-I00
6 · The paper itself

Abstract

A textile electrochemical sensor manufactured with commercially available textile materials is presented to determine glucose concentration. The sensor design consists of three electrodes manufactured with two different conductive yarns, one made with a silver coating and the other with stainless steel fibres. Different combinations of them are used to prepare three different electrochemical textile sensor combinations. The first sensor is built only with silver-coated yarn and used as a reference sensor. The other two sensors are prepared with different combinations of conductive yarns. The textile sensors perform a cyclic voltammetric test, where it is demonstrated that the glucose concentration over the sensor can be related with the increase in the current measured. The results allow us to identify feeding voltages where the concentration-current relation is close to linear. The textile sensor shows a sensitivity between 0.0145 and 0.0452 μA/(mg/dL) for the 45-180 mg/dL glucose concentration range and 0.0012 and 0.0035 μA/(mg/dL) for the 180-1800 mg/dL range for the different sensor types presented. The regression coefficients for the sensitivities range between 0.9266 and 0.9954. This research demonstrates the feasibility to develop a fully integrated textile electrochemical sensor made completely with commercially available textile materials.

Indexed as

Biosensing TechniquesElectrochemical TechniquesGlucoseTextilesElectrodesSilverGlucoseSilverelectrochemicalflexibleglucosesensortextile

Identifiers

PMID39997011
PMCPMC11853155

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.