Scalable quasi-pure MOF membranes for energy-efficient gas separations

Metal–organic framework (MOF) membranes offer great potential to address the energy penalties of energy-intensive gas separations1,2,3,4,5. Deriving convenient scalable protocols is essential for the successful translation and deployment of MOF-based membranes into practical applications6,7,8. Here we report a new membrane architecture, the quasi-pure MOF membrane (>90 vol% MOF), manufacturable at scale using industry-reliable solution-processing techniques and offering separation performance approaching that of associated pure MOF membranes, fully realizing the MOF intrinsic potential. This advance is enabled by a merged-phase approach fusing MOFs and polymers into a single pseudo-continuous phase and proffering MOFs with polymer-like surface properties, allowing rheologically controlled flocculated networks even at extreme solid concentrations. Representative benchmark MOFs (ZIF-67, CALF-20 and CuBDC) were fabricated into quasi-pure membranes and evaluated for essential separations, including propylene/propane, ethylene/ethane, carbon capture and hydrogen purification. Demonstrating industrial relevance, continuous roll-to-roll fabrication of quasi-pure (110)-oriented ZIF-67 membranes was achieved at an industrial plant. For propylene/propane separation, these membranes achieve a propylene permeability of about 160 barrer and mixed-gas selectivity of about 100—sufficient to produce polymer-grade propylene, offering an 80% purification cost reduction compared with distillation based on techno-economic analysis. This study addresses the long-standing gap between performance and scalability of crystalline membranes for demanding molecular separations.

相关文章

  • Radial nanochannel-array carbon enables high-performance intermetallic fuel cell catalysts
    [Lei Gao, Sooyeon Hwang, Xiaorui Li, Jiamao Zheng, Kwanpyung Lee, Shuo Liu, Dominik Wierzbicki, Jialu Li, Jinghua Guo, Bingzhang Zhang, Honghong Lin, Qing Zhao, Guofeng Wang, Chaochao Dun, Gang Wu]
  • Spatial modulation of triphenylamine donors in covalent organic frameworks for enhanced photocatalytic hydrogen evolution
    [Na Qin, Mengfei Wang, Ke Chen, Yaxiong Huo, Jing Liu, Yanjie Wang, Hualei Zhang, Liwei Mi]
  • Machine learning based prediction of carbon concentration in carburized steel
    [Yingtao Zhang, Zirong Tang, Qing Yin, Yanjie Wang, Zhenguo Nie]
  • qq

    成果名称:低表面能涂层

    合作方式:技术开发

    联 系 人:周老师

    联系电话:13321314106

    ex

    成果名称:低表面能涂层

    合作方式:技术开发

    联 系 人:周老师

    联系电话:13321314106

    yx

    成果名称:低表面能涂层

    合作方式:技术开发

    联 系 人:周老师

    联系电话:13321314106

    ph

    成果名称:低表面能涂层

    合作方式:技术开发

    联 系 人:周老师

    联系电话:13321314106

    广告图片

    润滑集