Nature Communications (Oct 2024)

Bioinspired recognition in metal-organic frameworks enabling precise sieving separation of fluorinated propylene and propane mixtures

  • Wei Xia,
  • Zhijie Zhou,
  • Liangzheng Sheng,
  • Lihang Chen,
  • Fuxing Shen,
  • Fang Zheng,
  • Zhiguo Zhang,
  • Qiwei Yang,
  • Qilong Ren,
  • Zongbi Bao

DOI
https://doi.org/10.1038/s41467-024-53024-8
Journal volume & issue
Vol. 15, no. 1
pp. 1 – 9

Abstract

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Abstract The separation of fluorinated propane/propylene mixtures remains a major challenge in the electronics industry. Inspired by biological ion channels with negatively charged inner walls that allow selective transport of cations, we presented a series of formic acid-based metal-organic frameworks (MFA) featuring biomimetic multi-hydrogen confined cavities. These MFA materials, especially the cobalt formate (CoFA), exhibit specific recognition of hexafluoropropylene (C3F6) while facilitating size exclusion of perfluoropropane (C3F8). The dual-functional adsorbent offers multiple binding sites to realize intelligent selective recognition of C3F6, as supported by theoretical calculations and in situ spectroscopic experiments. Mixed-gas breakthrough experiments validate the capability of CoFA to produce high-purity (>5 N) C3F8 in a single step. Importantly, the stability and cost-effective scalable synthesis of CoFA underscore its extraordinary potential for industrial C3F6/C3F8 separations. This bioinspired molecular recognition approach opens new avenues for the efficient purification of fluorinated electronic specialty gases.