4.8 Article

Guest-molecule-induced self-adaptive pore engineering facilitates purification of ethylene from ternary mixture

Journal

CHEM
Volume 8, Issue 12, Pages -

Publisher

CELL PRESS
DOI: 10.1016/j.chempr.2022.08.014

Keywords

-

Funding

  1. National Natural Science Foundation of China
  2. Key Research and Development Projects of Shandong Prov-ince
  3. Fundamental Research Funds for the Central Univer-sities
  4. Outstanding Youth Science Fund Projects of Shandong Province
  5. [21875285]
  6. [2019JZZY010331]
  7. [20CX05010A]
  8. [22CX06024A]
  9. [2022HWYQ-070]

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This study reports a cobalt metal-organic framework, UPC-66, with a self-adaptive pore structure. The pore size of activated UPC-66-a can undergo synchronous dynamic transformation with temperature, pressure, and guest molecules. Experimental results show that UPC-66 can effectively separate polymer-grade ethylene from multicomponent mixtures.
Purification of ethylene from multicomponent mixtures is progressing toward one-step separation by a single material at room temperature and atmospheric pressure. However, conventional rigid porous materials cannot efficiently separate ethylene with a size close to acetylene and ethane through pore sieving. Herein, we report a cobalt metal -organic framework, UPC-66, that exhibits a self-adaptive pore structure under an external stimulus. In situ powder X-ray diffraction confirmed that the pore size of activated UPC-66-a can undergo synchronous dynamic transformation with temperature, pressure, and guest molecules. Dynamic breakthrough experiments show that the polymer-grade C2H4 can be obtained from a C2H2/C2H4/C2H(6) (1/1/1 and 1/98/1) ternary mixture. The corresponding productivity of C2H4 can reach 2.01 mmol/g. The specific separation performance is attributed to the privileged adsorption sites of the self-adaptive pores, determined by the single-crystal data after gas encapsulation. This work provides valuable guidance for the application of self-adaptive pore structures in multicomponent separations.

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