Evidence map›Paper›PMID 41141776›Full record

ArticleACS omega2025

Cost-Effective Fabrication of Laser-Induced Graphene Electrochemical Cell for NADH Detection.

Ketley Caroline Rocha Pereira, Elsa Maria Materón, Matheus Santos Dias, Tatiana Parra Vello, Deissy Feria Garnica, Gustavo Miguel Sousa, Camila Marchetti Maroneze, Cecilia de Carvalho Castro Silva

Abstract read
In one paragraph

Article in ACS omega, 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.

Ketley Caroline Rocha PereiraSchool of Engineering, Mackenzie Presbyterian University, São Paulo, 01302-907 São Paulo, Brazil.
Elsa Maria MaterónSchool of Engineering, Mackenzie Presbyterian University, São Paulo, 01302-907 São Paulo, Brazil.ORCID https://orcid.org/0000-0002-3382-1193
Matheus Santos DiasSchool of Engineering, Mackenzie Presbyterian University, São Paulo, 01302-907 São Paulo, Brazil.
Tatiana Parra VelloMackGraphe-Mackenzie Institute for Research in Graphene and Nanotechnologies, Mackenzie Presbyterian Institute, São Paulo, 01302-907 São Paulo, Brazil.
Deissy Feria GarnicaMackGraphe-Mackenzie Institute for Research in Graphene and Nanotechnologies, Mackenzie Presbyterian Institute, São Paulo, 01302-907 São Paulo, Brazil.
Gustavo Miguel SousaSchool of Engineering, Mackenzie Presbyterian University, São Paulo, 01302-907 São Paulo, Brazil.ORCID https://orcid.org/0009-0000-0475-4713
Camila Marchetti MaronezeSchool of Engineering, Mackenzie Presbyterian University, São Paulo, 01302-907 São Paulo, Brazil.ORCID https://orcid.org/0000-0002-6835-4476
Cecilia de Carvalho Castro SilvaSchool of Engineering, Mackenzie Presbyterian University, São Paulo, 01302-907 São Paulo, Brazil.ORCID https://orcid.org/0000-0003-3933-1838

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The unique properties and versatile applications of laser-induced graphene (LIG) have garnered significant interest for electrochemical sensing technologies. In this study, we report the fabrication and application of an in-house produced LIG/polyimide (PI) composite, generated via 450 nm laser irradiation, for the amperometric detection of Nicotinamide Adenine Dinucleotide (NADH), a critical biomarker associated with several neurodegenerative human diseases. The LIG structure was confirmed by Raman spectroscopy, X-ray photoelectron spectroscopy (XPS), and sheet resistance measurements, with an average sheet resistance (

Identifiers

PMID41141776
PMCPMC12547605

What OpenQuestion holds

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LicenceCC BY
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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.