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Cited by 491

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

Advances in Electrocatalytic N2 Reduction—Strategies to Tackle the Selectivity Challenge

Chen, Gao‐Feng, Ren, Shiyu, Zhang, Lili, Cheng, Hui, Luo, Yaru, Zhu, Kehan, Ding, Liang‐Xin, Wang, Haihui·2019·Small Methods

Abstract

The industrial process used to reduce N 2 to NH 3, typically the Haber–Bosch process, is energy‐intensive and highly dependent on fossil fuels, a major source of greenhouse gas emissions causing undesirable climate change. Electrochemical reduction of N 2 to NH 3 using renewable energy is one attractive approach to address this problem. A major challenge for electrochemical nitrogen reduction reaction (NRR) is low catalytic activity, accompanied by ultralow selectivity. Current studies have made some breakthroughs in Faradaic efficiency, with reasonable current density, while remaining far from satisfying the needs of commercial applications. This review discusses current strategies, focusing on the perspectives of catalyst design, cell configuration, electrolyte choice, etc., to tackle the selectivity challenge. In addition, rigorous control experiments to eliminate possible ammonia contamination and standard ammonia detection methods to ensure data accuracy are proposed, providing guidance for the field of NRR studies.

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Metadata

Authors
Chen, G., Ren, S., Zhang, L., Cheng, H., Luo, Y., Zhu, K., Ding, L., & Wang, H.
Venue
Small Methods
Publisher
Wiley
Published
2018-10-26
Volume
3
Issue
6
ISSN
2366-9608 (ISSN-L)
OpenAlex
W2898246021
Cited by
491
References
1
FWCI
15.59
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Advances in Electrocatalytic N2 Reduction—Strategies to Tackle the Selectivity Challenge. https://app.cochat.ai/papers/10.1002/smtd.201800337
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Chen, G., Ren, S., Zhang, L., Cheng, H., Luo, Y., Zhu, K., Ding, L., & Wang, H. (2019). Advances in Electrocatalytic N2 Reduction—Strategies to Tackle the Selectivity Challenge. Small Methods. https://doi.org/10.1002/smtd.201800337

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