Multivariate MOF Hollow Fiber Membranes with Precision‐Tuned Subnanometer Channels Toward Aromatic Hydrocarbon Separation

Abstract Metal‐organic framework (MOF) membranes exhibit great potential for molecular separations, but it remains a considerable challenge to achieve precise pore aperture regulation, typically requiring the synthesis of distinct MOF structures for each targeted separation. Herein, the first multivariate MOF (MTV‐MOF) hollow fiber membranes with precision‐tuned subnanometer channels have been fabricated by leveraging the heterogeneous spatial distribution of ligands, where reduced coordination energy barriers drive the formation of alternating narrow (local‐path limited) and wide channels, simultaneously addressing the critical permeability‐selectivity trade‐off in membrane separations. The alternating narrow‐wide channel architecture has been systematically investigated through combined density functional theory calculation, molecular dynamics simulation and mathematical modeling, with direct experimental validation provided by low‐dose high‐resolution scanning transmission electron microscopy and quantitative adsorption analysis. These MTV‐MOF membranes demonstrated the ability to selectively separate aromatic hydrocarbons achieving highly selective separation while reduce the molecular transport barriers, offering significant potential for industrial separation processes.

Authors

Institutions

Publication Details

Journal
Angewandte Chemie
Published
2025-05-29
DOI
https://doi.org/10.1002/ange.202508510
Citations
1
Primary Topic
Membrane Separation Technologies
Type
article
Field-Weighted Citation Impact
0.82

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Multivariate MOF Hollow Fiber Membranes with Precision‐Tuned Subnanometer Channels Toward Aromatic Hydrocarbon Separation

Lingmei Liu, Zi-Meng Xu, Zhong‐Yuan Lu, Panpan Zhang et al.
1 citations
Angewandte Chemie
Membrane Separation Technologies
0.82
article

Multivariate MOF Hollow Fiber Membranes with Precision‐Tuned Subnanometer Channels Toward Aromatic Hydrocarbon Separation

Lingmei Liu, Zi-Meng Xu, Zhong‐Yuan Lu, Panpan Zhang, Ying Liu, Xiao‐Ming Chen, Yi Li, Zhen Chen, Xiao‐Feng Zhong, Ming Xue
article en
1 citations

Abstract

Abstract Metal‐organic framework (MOF) membranes exhibit great potential for molecular separations, but it remains a considerable challenge to achieve precise pore aperture regulation, typically requiring the synthesis of distinct MOF structures for each targeted separation. Herein, the first multivariate MOF (MTV‐MOF) hollow fiber membranes with precision‐tuned subnanometer channels have been fabricated by leveraging the heterogeneous spatial distribution of ligands, where reduced coordination energy barriers drive the formation of alternating narrow (local‐path limited) and wide channels, simultaneously addressing the critical permeability‐selectivity trade‐off in membrane separations. The alternating narrow‐wide channel architecture has been systematically investigated through combined density functional theory calculation, molecular dynamics simulation and mathematical modeling, with direct experimental validation provided by low‐dose high‐resolution scanning transmission electron microscopy and quantitative adsorption analysis. These MTV‐MOF membranes demonstrated the ability to selectively separate aromatic hydrocarbons achieving highly selective separation while reduce the molecular transport barriers, offering significant potential for industrial separation processes.

Angewandte ChemieVol. 137(32)
Sun Yat-sen University (CN), Chongqing University (CN)
National Natural Science Foundation of China, Guangdong Science and Technology Department, Fundamental Research Funds for the Central Universities
Openalex Percentile: Top 26%
Membrane Separation Technologies
0.82
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.