High-performance polymer molecular sieve membranes prepared by direct fluorination for efficient helium enrichment

Xiaohua Ma, Kaihua Li, Zhiyang Zhu, Hao Dong, Jia Lv, Yingge Wang, Ingo Pinnau, Jianxin Li, Bowen Chen, Yu Han

Research output: Contribution to journalArticlepeer-review

29 Scopus citations


One of the biggest challenges facing membrane-based helium (He) recovery from natural gas is the lack of efficient He separation membranes featuring both high He permeability and He/CH4 selectivity (>1000). Here, we report that this goal can be achieved by directly fluorinating membranes made of an intrinsically microporous polymer (PIM-1). All of the resulting membranes exhibit unprecedent He/CH4, He/N2, and He/CO2 separation performances that are placed well above the latest perfluoropolymer upper bounds. Among them, FPIM-5 has the best overall performance, with a high He permeability of 754 Barrer and an unprecedented He/CH4 selectivity of 3770 as well as good permeation and mechanical stability. This membrane also shows excellent aging resistance due to the fluorine substitution effect. The high He permeability is attributed to the intrinsically large fractional free volume of FPIM-1s, while the extremely high selectivity is the combined result of improved solubility selectivity through fluorination and significantly increased size sieving diffusion selectivity due to the pore blocking effect caused by fluorine atom substitution. When used for He/CH4 (0.6/99.4) binary mixed-gas separation, the downstream He concentration of FPIM-5 is greater than 84% even at an upstream pressure of 20 bar. The direct fluorination of microporous membranes provides a convenient method for efficiently enriching small gas molecules, such as helium and hydrogen, from various resources.
Original languageEnglish (US)
Pages (from-to)18313-18322
Number of pages10
Issue number34
StatePublished - 2021

Bibliographical note

KAUST Repository Item: Exported on 2021-11-21
Acknowledgements: This work was financially supported by the National Key Research and Development Program of China (Grant No. 2020YFA0211003), the National Natural Science Foundation of China (grant no. 22078245), the Innovative Team at the University of the Ministry of Education of China (grant no.IRT17R80), the Tianjin Science and Technology Planning Project (grant no. 18PTZWHZ00210 and 19PTSYJC0030), and
the program for Guangdong Introducing Innovative and Entrepreneurial Team (2016ZT06C412). We also greatly appreciate the characterization by the Analytic and Testing Center of Tiangong University.


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