Cu Nanowires Encapsulated by ZIF67 for Efficient Ammonia Electrosynthesis from Nitrate.

Cu nanowires DFT calculations Electrochemical nitrate reduction reaction NH3 synthesis ZIF67

Journal

ChemSusChem
ISSN: 1864-564X
Titre abrégé: ChemSusChem
Pays: Germany
ID NLM: 101319536

Informations de publication

Date de publication:
15 Aug 2024
Historique:
revised: 09 08 2024
received: 29 06 2024
accepted: 15 08 2024
medline: 15 8 2024
pubmed: 15 8 2024
entrez: 15 8 2024
Statut: aheadofprint

Résumé

Electrochemical NO3- reduction reaction (NO3RR) represents a green and sustainable way to produce valuable NH3 for both NH3 production and nitrate contaminant removal, and developing efficient, durable, highly selective catalyst is the key. Herein, we report a facile method to fabricate a catalyst composed of ultrafine Cu nanowires (Cu NWs) encapsulated by ZIF67, namely, CuNW@ZIF67, for efficient NH3 electrosynthesis from nitrate. The CuNW@ZIF67 catalyst exhibited excellent catalytic performance toward NO3RR in alkaline electrolyte, manifested by a large NH3 Faradaic efficiency of 93.7% at -0.5 V versus reversible hydrogen electrode (RHE), a high energy efficiency over 30% at -0.7 V, and robust long-term stability. Such intriguing catalytic properties are mainly ascribed to its structural merits and the strong electronic interaction between Cu NWs and ZIF67. DFT calculations revealed that, the Cu site can easily convert NO3- into NO2-, while the Co site plays a critical role in catalyzing the NO2--to-NH3 process. The study can shed light on rational design of efficient, durable, and highly selective catalysts for NO3RR and beyond.

Identifiants

pubmed: 39146059
doi: 10.1002/cssc.202401418
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

e202401418

Informations de copyright

© 2024 Wiley‐VCH GmbH.

Auteurs

Chengyu Guo (C)

South China University of Technology, School of Environment and Energy, New Energy Research Institute, 510006, Guangzhou, CHINA.

Long-Yun Shen (LY)

Hong Kong University of Science and Technology, Department of Mechanical and Aerospace Engineering, CHINA.

Yujun Tang (Y)

South China University of Technology, School of Environment and Energy, New Energy Research Institute, 510006, Guangzhou, CHINA.

Francesco Ciucci (F)

Hong Kong University of Science and Technology, Department of Mechanical and Aerospace Engineering, CHINA.

Zhenghua Tang (Z)

South China University of Technology, School of Environement and Energy, Guangzhou Higher Education Mega Centre, 510006, Guangzhou, CHINA.

Classifications MeSH