Facet-Engineered Cu Nanoflake Electrocatalysts for Efficient Nitrate-to-Ammonia Conversion
Source abstract
Abstract
Electrochemical nitrate reduction reaction (NO 3 RR) provides a promising approach for recycling nitrate from wastewater into ammonia, but its practical implementation requires catalysts capable of efficient and selective nitrate-to-ammonia conversion. Here we report Cu nanoflakes grown on Cu foam with tunable morphology and facet exposure as efficient catalysts for NO 3 RR to NH 3 . Compared with their Cu nanowire counterparts, the Cu nanoflakes showed a 5-fold higher NO 3 RR current density with an 81% Faradaic efficiency for NH 3 production at a low overpotential of 0.15 V vs RHE. This performance arises from a 3-fold enhancement in intrinsic activity, enabled by an optimal ratio and synergy between exposed Cu(100) and Cu(111) facets, which facilitate a tandem pathway involving nitrate-to-nitrite conversion followed by nitrite reduction to ammonia. The Cu nanoflake electrode was further evaluated in a single-pass flow-cell configuration for continuous NO 3 RR electrolysis, achieving ∼97% NH 3 Faradaic efficiency at 0 V vs RHE across varying nitrate concentrations and sustaining stable performance over ∼100 h of operation. These results establish facet engineering as an effective strategy for designing Cu-based NO 3 RR catalysts for nitrate remediation and sustainable ammonia production.
Source: openalex_inverted_index · Quality: baseline
Research context
OpenAlex topics: Ammonia Synthesis and Nitrogen Reduction · Electrocatalysts for Energy Conversion · Environmental remediation with nanomaterials
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Department of Chemistry
University of Central Florida
Department of Mechanical and Aerospace Engineering
Department of Physics
Department of Materials Science and Engineering
Renewable Energy and Chemical Transformations (REACT) Cluster
Funding
Division of Chemistry · Division of Materials Research
References (51)
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