Mixed-matrix membranes with molecular recognition windows for selective helium extraction from natural gas

W Wen He (New Cornerstone Science Laboratory, MOE Key Laboratory for Analytical Science of Food Safety and Biology, College of Chemistry) X Xiangzeng Wang J Jian Guan (Department of Environmental Science, Institute of Eco-Chongming, School of Ecological and Environmental Sciences) Q Quansheng Liang J Ji Ma (College of Materials Science and Optoelectronic Technology) Y Ying Liu H Hongjun Zhang (Hefei National Research Center for Physical Sciences at Microscale) C Chunwei Zhang J Jiangtao Liu

Abstract

Abstract Mixed-matrix membranes (MMMs) with high chain packing density by incorporating soluble macrocycle compounds represent a promising class of materials for gas separation. However, achieving the ultra-high selectivity (He/CH 4  > 1000) for helium extraction from natural gas with ultra-low helium content remains a formidable challenge, especially for Matrimid membranes, which are commercially available but exhibit relatively low permeability and moderate selectivity. Herein, the cyclic Cyclen with specific intra-ring dimensions was incorporated into Matrimid as a pore-structure modifier to enhance the He/CH 4 selectivity. The strong hydrogen bonding interactions between Cyclen and Matrimid chains induced a denser chain stacking and modulation of the interchain gap structures, which enables rapid mass transfer of small He gas molecules while hindering the diffusion of large CH 4 gas molecules across the membrane, thereby significantly enhanced He/CH 4 molecular sieving capacity. Molecular dynamics simulations indicate that the MMMs prepared using Cyclen as a filler exhibited tunable microporous and more efficient He transport channels. Notably, the He/CH 4 selectivity reached up to an impressive value of 6788 after physical aging for 110 days, which outperformed almost all reported polymer-based membranes and was even comparable to that of some advanced carbon molecular sieve membranes.

Article Details

Volume / Issue Vol. 17, Issue 1
Published February 19, 2026
ISSN 2041-1723
Publisher Nature Portfolio

Journal Info

Nature Communications

Nature Portfolio

ISSN: 2041-1723 Open Access Life Sciences

Authors (9)

W

Wen He

New Cornerstone Science Laboratory, MOE Key Laboratory for Analytical Science of Food Safety and Biology, College of Chemistry

X

Xiangzeng Wang

J

Jian Guan

Department of Environmental Science, Institute of Eco-Chongming, School of Ecological and Environmental Sciences

Q

Quansheng Liang

J

Ji Ma

College of Materials Science and Optoelectronic Technology

Y

Ying Liu

H

Hongjun Zhang

Hefei National Research Center for Physical Sciences at Microscale

C

Chunwei Zhang

J

Jiangtao Liu