Evidence map›Paper›PMID 41096233›Full record

ArticlePolymers2025

Physical Characterization of Multiwire Polystyrene Produced by Electrospinning Technique.

Lorenzo Torrisi, Letteria Silipigni, Alfio Torrisi, Mariapompea Cutroneo, Angela Malara, Antonio Fotia, Chiara Nunnari, Patrizia Frontera

Abstract read
PubMed Full text at PMC Publisher
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

8 authors.

Lorenzo TorrisiDipartimento MIFT, Università di Messina, Viale F.S. d'Alcontres 31, 98166 Messina, Italy.
Letteria SilipigniDipartimento MIFT, Università di Messina, Viale F.S. d'Alcontres 31, 98166 Messina, Italy.ORCID 0000-0002-1701-2978
Alfio TorrisiDipartimento di Medicina e Chirurgia, Università di Enna "Kore", 94100 Enna, Italy.ORCID 0000-0003-2404-5062
Mariapompea CutroneoDipartimento MIFT, Università di Messina, Viale F.S. d'Alcontres 31, 98166 Messina, Italy.ORCID 0000-0002-8416-8454
Angela MalaraDepartment of Civil, Energetic, Environment and Material Engineering, Mediterranean University of Reggio Calabria, 89124 Reggio Calabria, Italy.ORCID 0000-0001-8771-8485
Antonio FotiaCNR-ITAE, Istituto di Tecnologie Avanzate per l'Energia, 98126 Messina, Italy.
Chiara NunnariDepartment of Civil, Energetic, Environment and Material Engineering, Mediterranean University of Reggio Calabria, 89124 Reggio Calabria, Italy.
Patrizia FronteraDepartment of Civil, Energetic, Environment and Material Engineering, Mediterranean University of Reggio Calabria, 89124 Reggio Calabria, Italy.ORCID 0000-0001-8045-9943

Funding

European Union CI P2022M33MS
6 · The paper itself

Abstract

Multiwire polystyrene (PS) produced by the electrospinning technique was physically characterized in terms of morphology and by optical properties of transmittance and absorbance in the IR and UV-Visible regions. A comparison was presented with the properties of bulk PS and multiwire PS containing graphene oxide (GO) nanoparticles (NPs). The polymer is hydrophobic, and this surface property is enhanced when it has a multiwire morphology, and even more when GO NPs are embedded in it. The wetting angles reach up to about 144°. PS is an optimum dielectric polymer, and its permittivity was measured as a function of frequency. Some possible applications of the produced multiwire PS are presented and discussed.

Indexed as

multiwire polystyreneoptical spectroscopypermittivity measurementspolystyreneSEM morphologywetting measurements

Identifiers

PMID41096233
PMCPMC12526397

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.