4.6 Article

Rigid two-dimensional indium metal-organic frameworks boosting nitrogen electroreduction at all pH values

Journal

JOURNAL OF MATERIALS CHEMISTRY A
Volume 9, Issue 35, Pages 20040-20047

Publisher

ROYAL SOC CHEMISTRY
DOI: 10.1039/d1ta02684d

Keywords

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Funding

  1. Basic Science Center Program for Ordered Energy Conversion of the National Natural Science Foundation of China [51888103]
  2. Jiangsu Natural Science Foundation [BK20190460]
  3. Natural Science Foundation [52006105]
  4. Fundamental Research Funds for the Central Universities [30920041113, 30921013103]

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With a rigid structure and two-dimensional architecture, the indium metal-organic framework (In-MOF) nanosheets were successfully synthesized for nitrogen electroreduction with excellent activity and stability. These nanosheets exhibit high ammonia yield rates and faradic efficiencies under different pH conditions, making them promising low-cost and efficient electrocatalysts for industrial applications. The reaction mechanism of nitrogen electroreduction was also elucidated, providing valuable insights for the design of all-pH nitrogen reduction electrocatalysts.
Based on an ion exchange and dissolution-recrystallization mechanism, rigid indium metal-organic framework (In-MOF) nanosheets have been synthesized under mild conditions. The collective advantages of the rigid structure and two-dimensional architecture (thickness: 1.3 nm) enable In-MOF to show great activity during nitrogen electroreduction and excellent stability over a wide pH range. At pH values <7, In-MOF nanosheets demonstrate an ammonia yield rate >= 24.70 mu g h(-1) mg(-1) (or 4.94 mu g h(-1) cm(-2)) and faradic efficiency >= 6.72%. At pH values >= 7, 2D In-MOF can operate efficiently with a record NH3 yield of 79.20 mu g h(-1) mg(-1) (or 15.94 mu g h(-1) cm(-2)) and faradic efficiency of 14.98%, making it one of the most active MOF-based electrocatalysts for nitrogen electroreduction. Furthermore, the reaction mechanism of nitrogen electroreduction has been revealed using density function theory (DFT) simulations, and it follows enzymatic pathways at all pH values, with the potential determining step being *H2NNH2* -> *NH2 + NH3. It is expected that the present study will offer valuable clues for the design and fabrication of low-cost and efficient all-pH nitrogen reduction electrocatalysts for industrial applications.

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