Evidence map›Paper›PMID 41050601›Full record

ReviewRSC advances2025

Resistance model approach for gas separation in mixed-matrix membranes: progress and applications.

Juan Zhao, HongRu Ai, Ju Guan, RenDao Wang

Abstract readReview
In one paragraph

Review in RSC advances, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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.

Juan ZhaoSchool of Chemical Engineering, Guizhou University of Engineering Science Bijie 551700 P. R. China zhaojhld123@sina.com.ORCID https://orcid.org/0009-0001-3605-2158
HongRu AiSchool of Chemical Engineering, Guizhou University of Engineering Science Bijie 551700 P. R. China zhaojhld123@sina.com.
Ju GuanSchool of Chemical Engineering, Guizhou University of Engineering Science Bijie 551700 P. R. China zhaojhld123@sina.com.
RenDao WangSchool of Chemical Engineering, Guizhou University of Engineering Science Bijie 551700 P. R. China zhaojhld123@sina.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Mixed-matrix membranes (MMMs) exhibit both high permeability and selectivity, with the potential to surpass the Robeson upper bound, and are therefore a major focus of research on gas separation membranes. In this review, the basic assumptions and limitations of the widely used resistance model approach (RMA) for predicting the permeability of MMMs are discussed. Additionally, the practical application of the RMA in optimizing membrane structure design is introduced. By comparing prediction results with experimental data, the applicability of these models in predicting the permeability of MMMs is revealed. Finally, future development directions for the model are proposed. This review aims to provide a theoretical foundation and guidance for the design and optimization of high-performance gas separation membrane materials.

Identifiers

PMID41050601
PMCPMC12490204

What OpenQuestion holds

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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.