Evidence map›Paper›PMID 41996625›Full record

ArticleNanoscale2026

Influence of particle size, shape, and magnetic properties on torque-driven biofilm removal using anisotropic magnetic particles.

Vincent Pautu, Laurine Marger, Maja Caf, Fabrice Marger, Mustapha Mekki, Slavko Kralj, Irena Milošević

Abstract read
In one paragraph

Article in Nanoscale, 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.

Vincent PautuSchool of Engineering, Architecture and Landscape of Geneva (HEPIA), HES-SO - University of Applied Sciences and Arts Western Switzerland, Switzerland. irena.milosevic@hesge.ch.ORCID http://orcid.org/0000-0003-4004-8618
Laurine MargerLaboratory of Biomaterials, Faculty of Medicine, University Clinics of Dental Medicine, University of Geneva, Genève, Switzerland.ORCID http://orcid.org/0009-0005-8046-7915
Maja CafDepartment for Materials Synthesis, Jožef Stefan Institute, Jamova 39, Ljubljana, Slovenia. slavko.kralj@ijs.si.ORCID http://orcid.org/0009-0004-3535-6944
Fabrice MargerSchool of Engineering, Architecture and Landscape of Geneva (HEPIA), HES-SO - University of Applied Sciences and Arts Western Switzerland, Switzerland. irena.milosevic@hesge.ch.ORCID http://orcid.org/0009-0006-4487-1301
Mustapha MekkiLaboratory of Biomaterials, Faculty of Medicine, University Clinics of Dental Medicine, University of Geneva, Genève, Switzerland.ORCID http://orcid.org/0000-0002-2345-924X
Slavko KraljDepartment for Materials Synthesis, Jožef Stefan Institute, Jamova 39, Ljubljana, Slovenia. slavko.kralj@ijs.si.ORCID http://orcid.org/0000-0002-9403-8274
Irena MiloševićSchool of Engineering, Architecture and Landscape of Geneva (HEPIA), HES-SO - University of Applied Sciences and Arts Western Switzerland, Switzerland. irena.milosevic@hesge.ch.ORCID http://orcid.org/0000-0001-5099-0207

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Biofilms are structured communities of bacteria embedded within an extracellular polymeric substance (EPS) matrix, which forms a protective barrier that restricts drug penetration and increases antibiotic tolerance, making their complete elimination particularly challenging. Here, we investigate a magneto-mechanical approach using rotating magnetic fields (RMFs) to deliver controlled mechanical stress to

Indexed as

BiofilmsEnterococcus faecalisAnisotropyExtracellular Polymeric Substance MatrixMagnetic FieldsParticle SizeTitaniumTorqueTitanium

Identifiers

PMID41996625
PMCPMC13090009

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.