Mixed matrix formulations with MOF molecular sieving for key energy-intensive separations
Koros, William J.
KAUST DepartmentPhysical Sciences and Engineering (PSE) Division
Chemical Science Program
Advanced Membranes and Porous Materials Research Center
Functional Materials Design, Discovery and Development (FMD3)
KAUST Grant NumberURF/1/2222-01
Permanent link to this recordhttp://hdl.handle.net/10754/627113
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AbstractMembrane-based separations can improve energy efficiency and reduce the environmental impacts associated with traditional approaches. Nevertheless, many challenges must be overcome to design membranes that can replace conventional gas separation processes. Here, we report on the incorporation of engineered submicrometre-sized metal–organic framework (MOF) crystals into polymers to form hybrid materials that successfully translate the excellent molecular sieving properties of face-centred cubic (fcu)-MOFs into the resultant membranes. We demonstrate, simultaneously, exceptionally enhanced separation performance in hybrid membranes for two challenging and economically important applications: the removal of CO2 and H2S from natural gas and the separation of butane isomers. Notably, the membrane molecular sieving properties demonstrate that the deliberately regulated and contracted MOF pore-aperture size can discriminate between molecular pairs. The improved performance results from precise control of the linkers delimiting the triangular window, which is the sole entrance to the fcu-MOF pore. This rational-design hybrid approach provides a general toolbox for enhancing the transport properties of advanced membranes bearing molecular sieve fillers with sub-nanometre-sized pore-apertures.
CitationLiu G, Chernikova V, Liu Y, Zhang K, Belmabkhout Y, et al. (2018) Mixed matrix formulations with MOF molecular sieving for key energy-intensive separations. Nature Materials. Available: http://dx.doi.org/10.1038/s41563-017-0013-1.
SponsorsThe research reported in this publication was supported by KAUST CRG Research Grant URF/1/2222-01; Y.B., O.S. and M.E. acknowledge support from King Abdullah University of Science and Technology; G.L. acknowledges support from National Natural Science Foundation of China (Grant Nos.: 21490585, 21776125, 21406107).
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