Evidence map›Paper›PMID 42653548›Full record

ArticleMicromachines2026

Electrochemical Sensing of Dopamine with a Nafion-Coated Reduced Graphene Oxide/Polypyrrole-Functionalized Magnetic Nanoparticles Composite.

Afef Dhaffouli, Paul E D Soto-Rodríguez, Soledad Carinelli, Houcine Barhoumi, José Luis González-Mora, Pedro A Salazar-Carballo

Abstract read
In one paragraph

Article in Micromachines, 2026. 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

6 authors.

Afef DhaffouliLaboratory of Interfaces and Advanced Materials, Faculty of Sciences of Monastir, University of Monastir, Monastir 5000, Tunisia.ORCID 0009-0008-3011-9615
Paul E D Soto-RodríguezDepartment of Physics, Instituto de Estudios Avanzados (IUDEA), University of la Laguna, 38002 La Laguna, Spain.ORCID 0000-0002-2425-932X
Soledad CarinelliLaboratory of Sensors, Biosensors and Advanced Materials, Faculty of Health Sciences, University of La Laguna, Campus de Ofra s/n, 38071 La Laguna, Spain.ORCID 0000-0002-7322-8992
Houcine BarhoumiLaboratory of Interfaces and Advanced Materials, Faculty of Sciences of Monastir, University of Monastir, Monastir 5000, Tunisia.ORCID 0000-0002-7073-4566
José Luis González-MoraLaboratory of Sensors, Biosensors and Advanced Materials, Faculty of Health Sciences, University of La Laguna, Campus de Ofra s/n, 38071 La Laguna, Spain.ORCID 0000-0001-8920-1375
Pedro A Salazar-CarballoLaboratory of Sensors, Biosensors and Advanced Materials, Faculty of Health Sciences, University of La Laguna, Campus de Ofra s/n, 38071 La Laguna, Spain.ORCID 0000-0002-6680-0663

Funding

Agencia Canaria de Investigación, Innovación y Sociedad de la Información PID2022-142789OA-I00European Innovation Council 101099405
6 · The paper itself

Abstract

An electrochemical sensor based on a novel composite of electrochemically reduced graphene oxide, polypyrrole-coated magnetic nanoparticles (MNPs@PPy), and Nafion was developed for dopamine (DA) detection. The structural, thermal, and electrochemical properties of the composite were validated through a combination of advanced spectroscopic techniques, thermal profiling, electron microscopy, and impedance analyses. Under optimized conditions, differential pulse voltammetry (DPV) revealed a high sensitivity (1.573 A·M

Indexed as

differential pulse voltammetrydopamineelectrochemical sensormagnetic nanoparticlespolypyrrolereduced graphene oxide

Identifiers

PMID42653548
PMCPMC13515962

What OpenQuestion holds

Textmetadata
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.