Cu Nanowires Encapsulated by ZIF67 for Efficient Ammonia Electrosynthesis from Nitrate

Electrochemical NO<sub>3</sub> <sup>-</sup> reduction reaction (NO<sub>3</sub>RR) represents a green and sustainable way to produce valuable NH<sub>3</sub> for both NH<sub>3</sub> 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 NH<sub>3</sub> electrosynthesis from nitrate. The CuNW@ZIF67 catalyst exhibited excellent catalytic performance toward NO<sub>3</sub>RR in alkaline electrolyte, manifested by a large NH<sub>3</sub> 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 NO<sub>3</sub> <sup>-</sup> into NO<sub>2</sub> <sup>-</sup>, while the Co site plays a critical role in catalyzing the NO<sub>2</sub> <sup>-</sup>-to-NH<sub>3</sub> process. The study can shed light on rational design of efficient, durable, and highly selective catalysts for NO<sub>3</sub>RR and beyond.

Authors

Institutions

Publication Details

Journal
ChemSusChem
Published
2024-08-15
DOI
https://doi.org/10.1002/cssc.202401418
Citations
6
Primary Topic
Ammonia Synthesis and Nitrogen Reduction
Type
article
Field-Weighted Citation Impact
0.64

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Cu Nanowires Encapsulated by ZIF67 for Efficient Ammonia Electrosynthesis from Nitrate

Francesco Ciucci, Yujun Tang, Longyun Shen, Zhenghua Tang et al.
6 citations
ChemSusChem
Ammonia Synthesis and Nitrogen Reduction
0.64
article

Cu Nanowires Encapsulated by ZIF67 for Efficient Ammonia Electrosynthesis from Nitrate

Francesco Ciucci, Yujun Tang, Longyun Shen, Zhenghua Tang, Chengyu Guo
article en
6 citations

Abstract

Electrochemical NO<sub>3</sub> <sup>-</sup> reduction reaction (NO<sub>3</sub>RR) represents a green and sustainable way to produce valuable NH<sub>3</sub> for both NH<sub>3</sub> 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 NH<sub>3</sub> electrosynthesis from nitrate. The CuNW@ZIF67 catalyst exhibited excellent catalytic performance toward NO<sub>3</sub>RR in alkaline electrolyte, manifested by a large NH<sub>3</sub> 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 NO<sub>3</sub> <sup>-</sup> into NO<sub>2</sub> <sup>-</sup>, while the Co site plays a critical role in catalyzing the NO<sub>2</sub> <sup>-</sup>-to-NH<sub>3</sub> process. The study can shed light on rational design of efficient, durable, and highly selective catalysts for NO<sub>3</sub>RR and beyond.

ChemSusChemVol. 18(8)
Hong Kong University of Science and Technology (HK), Energy Research Institute (CN), University of Bayreuth (DE), University of Hong Kong (HK), South China University of Technology (CN)
Natural Science Foundation of Guangdong Province
Responsible consumption and production
Openalex Percentile: Top 39%
Ammonia Synthesis and Nitrogen Reduction
0.64
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Cu Nanowires Encapsulated by ZIF67 for Efficient Ammonia Electrosynthesis from Nitrate — Francesco Ciucci, Yujun Tang, et al. · ChemSusChem (2024) | TGRS Research Map | TGRS