JOURNAL ARTICLE

Boosting\nEthane/Ethylene Separation within Isoreticular Ultramicroporous Metal–Organic\nFrameworks

Abstract

The separation of ethane from its\nanalogous ethylene is of great importance in the petrochemical industry,\nbut very challenging and energy intensive. Adsorptive separation using\nC<sub>2</sub>H<sub>6</sub>-selective porous materials can directly\nproduce high-purity C<sub>2</sub>H<sub>4</sub> in a single operation\nbut suffers from poor selectivity. Here, we report an approach to\nboost the separation of C<sub>2</sub>H<sub>6</sub> over C<sub>2</sub>H<sub>4</sub>, involving the control of pore structures in two isoreticular\nultramicroporous metal–organic framework (MOF) materials with\nweakly polar pore surface for strengthened binding affinity toward\nC<sub>2</sub>H<sub>6</sub> over C<sub>2</sub>H<sub>4</sub>. Under\nambient conditions, the prototypical compound shows a very small uptake\ndifference and selectivity for C<sub>2</sub>H<sub>6</sub>/C<sub>2</sub>H<sub>4</sub>, whereas its smaller-pore isoreticular analogue exhibits\na quite large uptake ratio of 237% (60.0/25.3 cm<sup>3</sup> cm<sup>–3</sup>), remarkably increasing the C<sub>2</sub>H<sub>6</sub>/C<sub>2</sub>H<sub>4</sub> selectivity. Neutron powder diffraction\nstudies clearly reveal that the latter material shows self-adaptive\nsorption behavior for C<sub>2</sub>H<sub>6</sub>, which enables it\nto continuously maintain close van der Waals contacts with C<sub>2</sub>H<sub>6</sub> molecules in its optimized pore structure, thus preferentially\nbinds C<sub>2</sub>H<sub>6</sub> over C<sub>2</sub>H<sub>4</sub>.\nGas sorption isotherms, crystallographic analyses, molecular modeling,\nselectivity calculation, and breakthrough experiment comprehensively\ndemonstrate this unique MOF material as an efficient C<sub>2</sub>H<sub>6</sub>-selective adsorbent for C<sub>2</sub>H<sub>4</sub> purification.

Keywords:
Adsorption Sorption Selectivity Porosity van der Waals force Petrochemical Porous medium Molecule Selective adsorption Separation (statistics)

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