4.8 Article

Strong catalyst support interactions in defect-rich γ-Mo2N nanoparticles loaded 2D-h-BN hybrid for highly selective nitrogen reduction reaction

期刊

APPLIED CATALYSIS B-ENVIRONMENTAL
卷 287, 期 -, 页码 -

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ELSEVIER
DOI: 10.1016/j.apcatb.2021.119952

关键词

gamma-Molybdenum nitride; Hexagonal boron nitride; In-situ nitridation; N-vacancy; Nitrogen reduction reaction (NRR)

资金

  1. Brain Korea 21 Program (BK-21) through the National Research Foundation of Korea - Ministry of Education

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The research presents a single-step in-situ nitridation method for growing cubic molybdenum nitride nanoparticles on 2D hexagonal boron nitride sheets as a potential electrocatalyst for Nitrogen Reduction Reaction (NRR). Fine-tuning the N-vacancies on h-BN sheets leads to the highest faradaic efficiency, and the non-noble metal-based hybrids exhibit stable performance. Controlling the defects to design the electronic structure of a catalyst could be an effective practice for selective NRR.
Electrochemical ammonia synthesis by N-2 fixation has proven to be a promising alternative to the energy-consuming, befouling Haber-Bosch process. Considering the low faradaic efficiency and sluggish kinetics of Nitrogen Reduction Reaction (NRR), it is significant to design a robust and selective catalyst. Herein, we demonstrate a single step in-situ nitridation method to grow cubic molybdenum nitride (gamma-Mo2N) nanoparticles on a 2D hexagonal boron nitride (h-BN) sheets as a potential, cost-effective electrocatalyst for NRR, in which the selectivity for N-2 was regulated by interfacially engineering the Mo2N-BN bridge. The maneuverability of h-BN sheets enabled the provocation of N-vacancies governed by the particle size, where the fine-tuning of their significance emanated the highest faradaic efficiency of 61.5 %. Moreover, such non-noble metal-based hybrids delivered a stable performance for 20 h. Therefore, our approach of designing the electronic structure of a catalyst by controlling the defects could be an effective practice for selective NRR.

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