Evidence map›Paper›PMID 40157990›Full record

ArticleScientific reports2025

Investigation of the effects of concentration and voltage on the physicochemical properties of Nylon 6 nanofiber membrane.

Omolola E Fayemi, Petu B Letsholo, Hassan O Shoyiga, Chinedu C Ahia, Edson L Meyer

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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.

Omolola E FayemiMaterial Science Innovation and Modelling (MaSIM) Research Focus Area, Faculty of Natural and Agricultural Sciences, North-West University (Mafikeng Campus), Private Bag X2046, Mmabatho, 2735, South Africa. Omolola.Fayemi@nwu.ac.za.
Petu B LetsholoMaterial Science Innovation and Modelling (MaSIM) Research Focus Area, Faculty of Natural and Agricultural Sciences, North-West University (Mafikeng Campus), Private Bag X2046, Mmabatho, 2735, South Africa.
Hassan O ShoyigaMaterial Science Innovation and Modelling (MaSIM) Research Focus Area, Faculty of Natural and Agricultural Sciences, North-West University (Mafikeng Campus), Private Bag X2046, Mmabatho, 2735, South Africa.
Chinedu C AhiaInstitute of Technology, University of Fort Hare, Private Bag X1314, Alice, 5700, South Africa.
Edson L MeyerInstitute of Technology, University of Fort Hare, Private Bag X1314, Alice, 5700, South Africa.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The nanofibers of Nylon 6 at different concentrations 14 wt%, 16% wt%, and 18 wt% were fabricated using electrospinning method. The effect of concentration and voltage on the morphology of the nanofibers were assessed through the utilisation of FTIR, XRD, Raman spectroscopy, atomic force microscopy AFM, scanning electron microscopy SEM, and EDS techniques. A study on the Nylon 6 molecule using DFT (Density Functional Theory) was conducted. Nylon 6 optimized molecular structure, featuring an amine group and nitrogen atom for electrophilic reactions, exhibits high kinetic stability with a measured band gap energy of 6.60 eV and electronic chemical potential of -3.83. The diameter of the fibres increased from 76.91 to 81.98 nm when the concentration and voltage were further increased, with the respective weight percentages of 14 wt% and 18 wt%. This work reveals the influence of concentration and voltage on the physical and chemical characteristics of nylon-6 NFM and its quantum electronic properties.

Indexed as

ConcentrationDFTNylon 6 nanofiberSpectroscopyVoltage

Identifiers

PMID40157990
PMCPMC11954854

What OpenQuestion holds

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LicenceCC BY
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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.