Evidence map›Paper›PMID 33167337›Full record

ArticlePolymers2020

Engineering and Characterization of Antibacterial Coaxial Nanofiber Membranes for Oil/Water Separation.

Hamouda M Mousa, Husain Alfadhel, Emad Abouel Nasr

Open access · goldAbstract read
In one paragraph

Article in Polymers, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
2.0field-weighted citation impact, top 15% 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

8 citing papers in PubMed, 25 citations in OpenAlex.

  1. Article
  2. Article
  3. Membranes for Oil/Water Separation: A Review.Advanced materials interfaces · 2022
    Article
  4. Article
  5. Cellulose-Based Nanomaterials Advance Biomedicine: A Review.International journal of molecular sciences · 2022
    Review
  6. Article
  7. Article
  8. 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

3 authors at 3 institutions in 3 countries.

Hamouda M MousaDepartment of Mechanical Engineering, Faculty of Engineering, South Valley University, Qena 83523, Egypt.ORCID 0000-0003-0087-1458
Husain AlfadhelDepartment of Mechanical Engineering, University of Portsmouth, Portsmouth PO1 2UP, UK.
Emad Abouel NasrDepartment of Industrial Engineering, College of Engineering, King Saud University, Riyadh 11421, Saudi Arabia.ORCID 0000-0001-6967-7747
King Saud University · SASouth Valley University · EGUniversity of Portsmouth · GB

Funding

King Saud University RSP-2020/164
6 · The paper itself

Abstract

In the present study, a coaxial nanofiber membrane was developed using the electrospinning technique. The developed membranes were fabricated from hydrophilic cellulose acetate (CA) polymer and hydrophobic polysulfone (PSf) polymer as a core and shell in an alternative way with addition of 0.1 wt.% of ZnO nanoparticles (NPs). The membranes were treated with a 2M NaOH solution to enhance hydrophilicity and thus increase water separation flux. Chemical and physical characterizations were performed, such as Fourier transform infrared (FTIR) spectroscopy, and surface wettability was measured by means of water contact angle (WCA), mechanical properties, surface morphology via field emission scanning electron microscopy (FESEM), transmission electron microscopy (TEM), and microscopy energy dispersive (EDS) mapping and point analysis. The results show higher mechanical properties for the coaxial nanofiber membranes which reached a tensile strength of 7.58 MPa, a Young's modulus of 0.2 MPa, and 23.4 M J.m

Indexed as

cellulose acetatecoaxial nanofibercomposite membraneoil/water separationpolysulfonezinc oxide NPs

Identifiers

PMID33167337
PMCPMC7694370
OpenAlexW3096324637

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.