Evidence map›Paper›PMID 36987250›Full record

ArticlePolymers2023

Facile One-Step Electrospinning Process to Prepare AgNPs-Loaded PLA and PLA/PEO Mats with Antibacterial Activity.

Valeria Allizond, Giuliana Banche, Matteo Salvoni, Mery Malandrino, Claudio Cecone, Anna Maria Cuffini, Pierangiola Bracco

Open access · goldAbstract read
In one paragraph

Article in Polymers, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
3.1field-weighted citation impact, top 8% of its field
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

16 citing papers in PubMed, 31 citations in OpenAlex.

  1. Article
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  3. Journal of functional biomaterials · 2025
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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 at 1 institution in 1 country.

Valeria AllizondDepartment of Public Health and Pediatric Sciences, University of Torino, Via Santena 9, 10126 Turin, Italy.ORCID 0000-0003-0585-9247
Giuliana BancheDepartment of Public Health and Pediatric Sciences, University of Torino, Via Santena 9, 10126 Turin, Italy.ORCID 0000-0003-2219-0223
Matteo SalvoniDepartment of Chemistry, NIS Interdepartmental Centre, University of Torino, Via P. Giuria 7, 10125 Turin, Italy.
Mery MalandrinoDepartment of Chemistry, NIS Interdepartmental Centre, University of Torino, Via P. Giuria 7, 10125 Turin, Italy.ORCID 0000-0002-8352-0487
Claudio CeconeDepartment of Chemistry, NIS Interdepartmental Centre, University of Torino, Via P. Giuria 7, 10125 Turin, Italy.ORCID 0000-0002-2660-9522
Anna Maria CuffiniDepartment of Public Health and Pediatric Sciences, University of Torino, Via Santena 9, 10126 Turin, Italy.
Pierangiola BraccoDepartment of Chemistry, NIS Interdepartmental Centre, University of Torino, Via P. Giuria 7, 10125 Turin, Italy.ORCID 0000-0003-0477-2086
University of Turin · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Nanofibers can play an important role in developing new kinds of medical applications. Poly(lactic acid) (PLA) and PLA/poly(ethylene oxide) (PEO) antibacterial mats containing silver nanoparticles (AgNPs) were prepared by a simple one-step electrospinning method that allows AgNPs to be synthesized simultaneously with the preparation of the electrospinning solution. The electrospun nanofibers were characterized by scanning electron microscopy, transmission electron microscopy and thermogravimetry, while silver release over time was monitored by inductively coupled plasma/optical emission spectroscopy. The antibacterial activity was tested against

Indexed as

antibacterial activityelectrospinningnanofiberssilver nanoparticles

Identifiers

PMID36987250
PMCPMC10056252
OpenAlexW4327618926

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.