Evidence map›Paper›PMID 41471636›Full record

ArticleSensors (Basel, Switzerland)2025

Laser-Induced Graphene on Polyimide: Material Characterization Toward Strain-Sensing Applications.

Yessenia Ibeth Paucar, Fernando Pantoja-Suárez, Enric Bertran-Serra, Fernando Sánchez, Katherine Moreno

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. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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.

Yessenia Ibeth PaucarMaterials Department, Faculty of Mechanical Engineering, Escuela Politécnica Nacional, Ladrón de Guevara E11-253, P.O. Box 17-01-2759, Quito 170525, Ecuador.
Fernando Pantoja-SuárezMaterials Department, Faculty of Mechanical Engineering, Escuela Politécnica Nacional, Ladrón de Guevara E11-253, P.O. Box 17-01-2759, Quito 170525, Ecuador.ORCID 0000-0001-6989-0126
Enric Bertran-SerraENPHOCAMAT (FEMAN) Group, Deparment of Applied Physics, Universitat de Barcelona, Martí i Franquês 1, 8028 Barcelona, Spain.ORCID 0000-0002-9694-3729
Fernando SánchezMaterials Department, Faculty of Mechanical Engineering, Escuela Politécnica Nacional, Ladrón de Guevara E11-253, P.O. Box 17-01-2759, Quito 170525, Ecuador.ORCID 0009-0004-9327-3522
Katherine MorenoDepartment of Extractive Metallurgy, Escuela Politécnica Nacional, Ladrón de Guevara E11-253, P.O. Box 17-01-2759, Quito 170525, Ecuador.ORCID 0009-0007-5950-7307

Funding

Escuela Politecnica Nacional 4000
6 · The paper itself

Abstract

This study investigates the effect of laser power, focal length, and number of passes on the fabrication of graphene-based strain sensors using a 450 nm diode laser at the upper limit of the UV spectrum. Polyimide substrates were irradiated to produce laser-induced graphene, and the resulting sensors were evaluated under three-point bending tests. The main requirements for deformation sensors-adequate conductivity, mechanical stability under bending, and high sensitivity (gauge factor)-were assessed through morphological analysis by SEM, Raman spectroscopy, and electrical characterization using the Van der Pauw method. The results indicate that laser power is the critical factor influencing graphene quality and sensor performance, while focal length has a negligible effect and additional passes reduce material quality and sensitivity. Overall, this work demonstrates the feasibility of producing functional, low-cost graphene strain sensors with a commercial diode laser, offering a scalable and affordable alternative for sensor fabrication.

Indexed as

bendinggauge factorgraphenelaser diodeRamanSEMUV

Identifiers

PMID41471636
PMCPMC12736767

What OpenQuestion holds

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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.