journal article·2023-09-08

Elucidating the Intrinsic Activity and Selectivity of Cu for Nitrate Electroreduction

Zhuanghe Ren, Kaige Shi, Xiaofeng Feng

ACS Energy Letters· Volume 8· Issue 9
Publisher page

Abstract

Cu-based catalysts have been widely explored for the electrochemical nitrate reduction reaction (NO 3 RR), while the intrinsic activity and selectivity of Cu metal for the NO 3 RR remain ambiguous, preventing a genuine comparison of the NO 3 RR performance. Here we use polycrystalline Cu foils for benchmarking and elucidate the impact of often overlooked factors on the NO 3 RR, including Cu facet exposure, nitrate concentration, and electrode surface area. An electropolished Cu foil exhibits a higher activity and selectivity for the NO 3 RR to NH 3 than a wet-etched Cu foil, benefiting from greater exposure of Cu(100) facets that are more favorable for the NO 3 RR. While the NH 3 selectivity shows no apparent dependence on the nitrate concentration, it increases monotonically with the Cu electrode area, which is attributed to a promoted conversion of intermediately produced NO 2 – to NH 3 on a larger electrode, as validated by a 15 N isotope labeling experiment. Our work provides mechanistic insights toward the rational design of NO 3 RR electrocatalysts.
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Research context

OpenAlex topics: Ammonia Synthesis and Nitrogen Reduction · Advanced Photocatalysis Techniques · Caching and Content Delivery

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Department of Physics, University of Central Florida, Orlando, Florida 32816, United States

Renewable Energy and Chemical Transformations (REACT) Cluster, University of Central Florida, Orlando, Florida 32816, United States

Department of Chemistry, University of Central Florida, Orlando, Florida 32816, United States

Department of Materials Science and Engineering, University of Central Florida, Orlando, Florida 32816, United States

Funding

Division of Chemistry · University of Central Florida · Division of Electrical, Communications and Cyber Systems

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