Evidence map›Paper›PMID 40508686›Full record

ArticlePolymers2025

Low-Power NIR-Triggered Photothermal Inactivation of

Melina D Gil, Silvestre Bongiovanni Abel, César A Barbero, Natalia S Paulucci, Edith I Yslas

Abstract read
In one paragraph

Article in Polymers, 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.

Melina D GilDepartment of Molecular Biology, FCEFQyN-National University of Río Cuarto, Ruta Nacional Nº 36 Km 601, Río Cuarto 5800, Argentina.
Silvestre Bongiovanni AbelBiomedical Polymers Division, Research Institute for Materials Science and Technology (INTEMA), National University of Mar del Plata (UNMdP)-National Scientific and Technical Research Council (CONICET), Av. Colón 10850, Mar del Plata 7600, Argentina.ORCID 0000-0002-5327-6153
César A BarberoResearch Institute for Energy Technologies and Advanced Materials (IITEMA), National University of Río Cuarto (UNRC)-National Scientific and Technical Research Council (CONICET), Ruta Nacional Nº 36 Km 601, Río Cuarto 5800, Argentina.
Natalia S PaulucciDepartment of Molecular Biology, FCEFQyN-National University of Río Cuarto, Ruta Nacional Nº 36 Km 601, Río Cuarto 5800, Argentina.ORCID 0000-0003-1684-4243
Edith I YslasDepartment of Molecular Biology, FCEFQyN-National University of Río Cuarto, Ruta Nacional Nº 36 Km 601, Río Cuarto 5800, Argentina.ORCID 0000-0002-6371-8533

Funding

ANPCyT PICT-2021-I-INVI-00022CONICET PIBAA-0182-28820210103753COCONICET PIP-11220210100323COCONICET PUE-IITEMAFundación WilliamsSECyT-UNRC Program PPI C596-1SECyT-UNRC Program PPI C616-2
6 · The paper itself

Abstract

Conducting polymer (CP) nanoparticles have emerged as innovative materials for biomedical applications, particularly due to their safe interaction with biological systems. This study focuses on the synthesis, morphological, and spectroscopic characterization of polypyrrole nanoparticles (PPy-NPs) as photoactivatable agents under near-infrared (NIR) radiation for the inactivation of pathogenic bacteria. We successfully synthesized uniform nanoparticles (~180 nm) with strong absorption in the NIR region. A comprehensive characterization was performed using electron microscopy, dynamic light scattering, X-ray diffraction, and UV-Vis and infrared spectroscopy. The microbiological evaluation focused on elucidating the inactivation mechanism of

Indexed as

antibacterial nanomaterialsantimicrobial resistancephotothermal inactivationpolypyrrole nanoparticlesPseudomonas aeruginosa

Identifiers

PMID40508686
PMCPMC12158258

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.