Evidence map›Paper›PMID 41441080›Full record

ReviewMembranes2025

Recent Advances in Advanced Membrane Materials for Natural Gas Purification: A Review of Material Design and Separation Mechanisms.

Qijie Fan, Rui Xiao, Cheng Yang, Meixuan Xin, Xia Zheng, Guangyong Zeng

Abstract readReview
In one paragraph

Review in Membranes, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Review
  3. 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

6 authors.

Qijie FanSichuan Lianfa Natural Gas Co., Ltd., Chengdu 610043, China.
Rui XiaoSichuan Lianfa Natural Gas Co., Ltd., Chengdu 610043, China.
Cheng YangSichuan Lianfa Natural Gas Co., Ltd., Chengdu 610043, China.
Meixuan XinCollege of Materials and Chemistry & Chemical Engineering, Chengdu University of Technology, Chengdu 610059, China.
Xia ZhengCollege of Materials and Chemistry & Chemical Engineering, Chengdu University of Technology, Chengdu 610059, China.
Guangyong ZengCollege of Materials and Chemistry & Chemical Engineering, Chengdu University of Technology, Chengdu 610059, China.ORCID 0000-0001-6837-2618

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Natural gas plays a pivotal role in the global energy landscape under the dual challenges of energy transition and climate change. However, the impurities present within natural gas pose several disadvantages, including corrosion of transportation pipelines, toxicity, hydrate formation, and a reduction in the fuel's calorific value. Membrane separation technology has been recognized as an ideal approach for natural gas purification owing to its advantages of low energy consumption, operational simplicity, and excellent separation performance. This review summarizes recent progress in the development of advanced membrane materials, including polymer bulk membranes, two-dimensional (2D) nanosheet membranes, mixed-matrix membranes (MMMs), surface-modified membranes, and carbon molecular sieve membranes (CMSMs). The fundamental separation mechanisms-such as solution-diffusion, molecular sieving, adsorption-selectivity, and competitive sorption and surface diffusion-are analyzed in detail. Moreover, the critical scientific questions and technological challenges in this field are discussed in depth. Finally, future research perspectives are proposed to guide the rational design and practical application of high-performance membranes for natural gas separation.

Indexed as

membrane materialsmembrane modificationnatural gas purificationseparation mechanisms

Identifiers

PMID41441080
PMCPMC12734824

What OpenQuestion holds

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LicenceCC BY
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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.