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Highly Effective H/D Separation within the Stable Cu(I)Cu(II)-BTC: The Effect of Cu(I) Structure on Quantum Sieving. | LitMetric

AI Article Synopsis

  • Deuterium separation from isotopic mixtures is tough due to similarities in size and properties, but using porous materials with the quantum sieving effect can help.
  • A new material, Cu(I)Cu(II)-BTC, derived from HKUST-1, shows a remarkable D/H isotope separation selectivity of 37.9 at 30 K, outperforming other materials.
  • The enhanced selectivity is due to a combination of kinetic and chemical affinity effects, with Cu(I) coordination sites playing a vital role in improving quantum sieving without needing complicated designs.

Article Abstract

Realizing ideal deuterium separation from isotopic mixtures remains a daunting challenge because of their almost identical sizes, shapes, and physicochemical properties. Using the quantum sieving effect in porous materials with suitable pore size and open metal sites (OMSs) enables efficient hydrogen isotope separation. Herein, synthetic HKUST-1-derived microporous mixed-valence Cu(I)Cu(II)-BTC (BTC = benzene-1,3,5-tricarboxylate), featuring a unique network of distinct Cu(I) and Cu(II) coordination sites, can remarkably boost the D/H isotope separation, which has a high selectivity () of 37.9 at 30 K, in comparison with HKUST-1 and other porous materials. Density functional theory (DFT) calculations indicate that the introduction of Cu(I) macrocycles in the framework decreases the pore size and further leads to relatively enhanced interaction of H/D molecules on Cu(II) sites. The significantly enhanced selectivity of Cu(I)Cu(II)-BTC at 30 K can be mainly attributed to the synergistic effect of kinetic quantum sieving (KQS) and chemical affinity quantum sieving (CAQS). The results reveal that Cu(I) OMSs exhibit counterintuitive behaviors and play a crucial role in tuning quantum sieving without a complex structural design, which provides a deeper insight into quantum sieving mechanisms and a new strategy for the intelligent design of highly efficient isotope systems.

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Source
http://dx.doi.org/10.1021/acsami.2c18221DOI Listing

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