Evidence map›Paper›PMID 41253733›Full record

ArticleMacromolecular bioscience2026

Effect of Nanoparticles Type and Content on the Antimicrobial Activity of Magnetoelectric Polymer-Based Composites.

Joana Moreira, Margarida M Fernandes, Vitor Correia, Daniela M Correia, Carmen R Tubio, Vesna Lazic, Senentxu Lanceros-Mendez

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Macromolecular bioscience, 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

7 authors.

Joana MoreiraPhysics Centre of Minho and Porto Universities (CF-UM-UP) and LaPMET - Laboratory of Physics for Materials and Emergent Technologies, University of Minho, Braga, Portugal.ORCID https://orcid.org/0000-0001-6438-3889
Margarida M FernandesCenter for Micro-Electro Mechanical Systems, University of Minho, Campus Azurém, Guimarães, Portugal.
Vitor CorreiaSYSTEC- Research Center for Systems and Technologies- University of Porto (FEUP), Porto, Portugal.
Daniela M CorreiaCentre of Chemistry, University of Minho, Braga, Portugal.
Carmen R TubioBCMaterials, Basque Center Centre for Materials, Applications and Nanostructures, UPV/EHU Science Park, Leioa, Spain.
Vesna LazicVinča Institute of Nuclear Sciences, University of Belgrade, Belgrade, Serbia.
Senentxu Lanceros-MendezPhysics Centre of Minho and Porto Universities (CF-UM-UP) and LaPMET - Laboratory of Physics for Materials and Emergent Technologies, University of Minho, Braga, Portugal.

Funding

B-EAMS 2022.02697.PTDCEuropean Union PID2022-138572OB-C42Fundação para a Ciência e a Tecnologia DL57/2016J.M. grant 2021.08709.BDMinistry of Science, Technological Development, and Innovation of the Republic of Serbia 451-03-136/2025-03/200017Portuguese Foundation for Science and Technology UID/04650/CFUM-UPUniversity of Burgos, and SAT of the University of La Laguna, Spain
6 · The paper itself

Abstract

Antimicrobial materials are essential for the development of coatings for high traffic surfaces to prevent the adhesion and proliferation of microorganisms, playing a crucial role in infection control. In this study, different magnetoelectric nanocomposites exhibiting antimicrobial activity upon magnetic stimulation were developed by solvent casting. The nanocomposites, composed of poly(vinylidene fluoride-co-trifluoroethylene) [P(VDF-TrFE)] with different contents (10 and 20% wt) of CoFe

Indexed as

antibacterial propertiesmagnetic activationmagnetic nanoparticlesmagnetoelectric materialspiezoelectric materials

Identifiers

PMID41253733
PMCPMC12935394

What OpenQuestion holds

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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.