Evidence map›Paper›PMID 38543406›Full record

ReviewPolymers2024

The Potential of Electrospun Membranes in the Treatment of Textile Wastewater: A Review.

Joana M Rocha, Rui P C L Sousa, Raul Fangueiro, Diana P Ferreira

Abstract readReview
In one paragraph

Review in Polymers, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. 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

4 authors.

Joana M RochaCentre for Textile Science and Technology (2C2T), University of Minho, 4800 Guimarães, Portugal.
Rui P C L SousaCentre for Textile Science and Technology (2C2T), University of Minho, 4800 Guimarães, Portugal.ORCID 0000-0003-3741-3039
Raul FangueiroCentre for Textile Science and Technology (2C2T), University of Minho, 4800 Guimarães, Portugal.ORCID 0000-0003-3303-6563
Diana P FerreiraCentre for Textile Science and Technology (2C2T), University of Minho, 4800 Guimarães, Portugal.ORCID 0000-0002-7862-4687

Funding

Fundação para a Ciência e Tecnologia CEECIND/02803/2017/CP1458/CT0003
6 · The paper itself

Abstract

Water security and industrial wastewater treatment are significant global concerns. One of the main issues with environmental contamination has been the discharge of dye wastewater from the textile and dye industries, contributing to an ever-growing problem with water pollution, poisoning water supplies, and harming the ecosystem. The traditional approach to wastewater treatment has been found to be inefficient, and biosorption techniques and mechanisms have been proven to be a successful replacement for conventional methods. Recent developments have led to the recognition of fibrous materials as an environmentally friendly option with broad application in several industries, including wastewater treatment. This review explores the potential of fibrous materials produced by the electrospinning technique as adsorbents for wastewater treatment, while at the same time, for the removal of adsorbates such as oil, dyes, heavy metals, and other substances, as reported in the literature. Textile wastewater filtering structures, produced by electrospinning, are summarized and the use of synthetic and natural polymers for this purpose is discussed. The limitations of electrospun textile wastewater filtering structures are also mentioned. Electrospun nanofibrous membranes appear to be a very promising route to filter textile wastewater and therefore contribute to water reuse and to reducing the contamination of water courses.

Indexed as

adsorbentselectrospinningfibrous materialsindustrieswastewater treatment

Identifiers

PMID38543406
PMCPMC10976178

What OpenQuestion holds

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LicenceCC BY
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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.