Evidence map›Paper›PMID 41149994›Full record

ArticleMembranes2025

PDMS Mixed Matrix Membrane with Confined Mass Transfer Structure: The Effect of COFs with Different Porous Structures and Chemical Properties in the Pervaperation Process.

Yuan Zhai, Zimeng Zheng, Xinhao Cui, Kun Jiang, Ao Sheng, Heyun Wang

Abstract read
In one paragraph

Article in Membranes, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

6 authors.

Yuan ZhaiSchool of Chemistry and Chemical Engineering, Shihezi University, Shihezi 832003, China.
Zimeng ZhengSchool of Chemistry and Chemical Engineering, Shihezi University, Shihezi 832003, China.
Xinhao CuiSchool of Chemistry and Chemical Engineering, Shihezi University, Shihezi 832003, China.
Kun JiangSchool of Chemistry and Chemical Engineering, Shihezi University, Shihezi 832003, China.
Ao ShengSchool of Chemistry and Chemical Engineering, Shihezi University, Shihezi 832003, China.
Heyun WangSchool of Chemistry and Chemical Engineering, Shihezi University, Shihezi 832003, China.ORCID 0000-0001-9006-5614

Funding

Major Project of Bingtuan Corps 2023AA006the Guidance Project of Bingtuan Corps 2023ZD072the National Natural Science Foundation of China No.22168033
6 · The paper itself

Abstract

In this study, hydrophilic covalent organic framework (COF) nanosheets with triazine structures and hydrophobic COF nanosheets with fluorinated imine skeletons were designed to enhance the membrane separation process for ethanol pervaporation. The mass transfer of ethanol-water mixtures within the confined structures of COF nanosheets was investigated through experimental characterization and computational simulations, establishing a quantitative relationship between mass transfer performance and the pore size/chemical properties of COF nanosheets. These COF nanosheets were employed to optimize the confined architecture of mixed matrix membranes (MMMs), effectively regulating the critical parameters of MMMs and improving their separation performance. Through systematic investigation of formation mechanisms and modulation principles, we revealed the correlation between confined structural parameters and membrane separation efficiency. This work develops methodologies and foundational theories to overcome the permeability-selectivity trade-off effect, providing theoretical guidance for designing novel membrane materials with ethanol-permelective COF-based MMMs.

Indexed as

confined mass transfer structurecovalent organic frameworkmixed matrix membranepervaporationsimulation calculation

Identifiers

PMID41149994
PMCPMC12566124

What OpenQuestion holds

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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.