Evidence map›Paper›PMID 40809005›Full record

ReviewACS ES&T engineering2025

Sustainable Polymeric Membranes: Green Chemistry and Circular Economy Approaches.

Ching Yoong Loh, Andrew D Burrows, Ming Xie

Abstract readReview
In one paragraph

Review in ACS ES&T engineering, 2025. 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
–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

8 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Review
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  8. Review
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.

Ching Yoong LohDepartment of Chemical Engineering, University of Bath, Bath BA2 7AY, United Kingdom.ORCID https://orcid.org/0000-0002-2685-7032
Andrew D BurrowsDepartment of Chemistry, University of Bath, Bath BA2 7AY, United Kingdom.ORCID https://orcid.org/0000-0002-9268-4408
Ming XieDepartment of Chemical Engineering, University of Bath, Bath BA2 7AY, United Kingdom.ORCID https://orcid.org/0000-0003-2729-9746

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Water scarcity remains a critical global challenge, necessitating the advancement of sustainable water treatment technologies. Polymeric membranes have emerged as an indispensable solution for desalination and wastewater treatment due to their high efficiency and low energy consumption. However, conventional membrane fabrication relies on petroleum-derived polymers and toxic solvents, generating significant environmental concerns. This review sheds light on the state-of-the-art approaches to sustainable membrane development, focusing on green chemistry principles and circular economy strategies. Mechanosynthesis offers a solvent-free alternative for synthesizing advanced membrane materials, including metal-organic frameworks, covalent organic frameworks, and polymers of intrinsic microporosity. Additionally, the adoption of biobased green solvents, such as Cyrene and γ-valerolactone, provides viable substitutes for hazardous dipolar aprotic solvents traditionally used in membrane fabrication. The incorporation of biopolymers, including cellulose derivatives and polyhydroxyalkanoates, further enhances the sustainability of polymeric membranes. To mitigate membrane waste, circular economy strategies, including downcycling, upcycling, and repreparation via covalent adaptable networks, offer promising pathways for extending membrane lifecycles and minimizing environmental impact.

Indexed as

biopolymercovalent adaptable network membranesgreen solventsmechanosynthesisupcycling and downcycling

Identifiers

PMID40809005
PMCPMC12341036

What OpenQuestion holds

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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.