Rational design of mixed-matrix metal-organic framework membranes for molecular separations
AuthorsDatta, Shuvo Jit
Bettahalli Narasimha, Murthy Srivatsa
Graziane M. Mileo, Paulo
KAUST DepartmentAdvanced Membranes and Porous Materials Research Center
Chemical Science Program
Functional Materials Design, Discovery and Development (FMD3)
Physical Science and Engineering (PSE) Division
Permanent link to this recordhttp://hdl.handle.net/10754/678597
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AbstractConventional separation technologies to separate valuable commodities are energy intensive, consuming 15% of the worldwide energy. Mixed-matrix membranes, combining processable polymers and selective adsorbents, offer the potential to deploy adsorbent distinct separation properties into processable matrix. We report the rational design and construction of a highly efficient, mixed-matrix metal-organic framework membrane based on three interlocked criteria: (i) a fluorinated metal-organic framework, AlFFIVE-1-Ni, as a molecular sieve adsorbent that selectively enhances hydrogen sulfide and carbon dioxide diffusion while excluding methane; (ii) tailoring crystal morphology into nanosheets with maximally exposed (001) facets; and (iii) in-plane alignment of (001) nanosheets in polymer matrix and attainment of -oriented membrane. The membrane demonstrated exceptionally high hydrogen sulfide and carbon dioxide separation from natural gas under practical working conditions. This approach offers great potential to translate other key adsorbents into processable matrix.
CitationDatta, S. J., Mayoral, A., Murthy Srivatsa Bettahalli, N., Bhatt, P. M., Karunakaran, M., Carja, I. D., Fan, D., Graziane M. Mileo, P., Semino, R., Maurin, G., Terasaki, O., & Eddaoudi, M. (2022). Rational design of mixed-matrix metal-organic framework membranes for molecular separations. Science, 376(6597), 1080–1087. https://doi.org/10.1126/science.abe0192
SponsorsThis research was supported by the King Abdullah University of Science and Technology (KAUST; S.J.D. and M.E.). O.T. acknowledges support from CℏEM, ShanghaiTech University (grant no. EM02161943). A.M. acknowledges support from the Spanish Ministry of Science and Innovation (grant no. RYC2018-024561-I) and the Regional Government of Aragon (grant no. DGA E13_20R).
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