Tailoring Electronic and Morphology Features of Iron‐Doped Ni<sub>2</sub>P Nanoflowers for Enhanced Ammonia Electrosynthesis in Solid Electrolyte Reactors

Abstract Electrochemical nitrate (NO 3 − ) reduction to ammonia (NH 3 ) presents a promising route for both wastewater treatment and ammonia generation but still suffers from sluggish catalytic activity, insufficient mass transfer, and the reliance on high‐concentration supporting electrolytes. This work reports an innovative and efficient ammonia electrosynthesis reactor by integrating a self‐assembled iron‐doped Ni 2 P (Fe‐Ni 2 P/NF) nanoflower cathode with a solid‐electrolyte (SE). The SE design eliminates the need for supporting electrolytes, providing a highly efficient ion‐conducting pathway and enabling the direct production of NH 3 from NO 3 − . Through tailoring the electronic and surface characteristics of Fe‐Ni 2 P/NF, this reactor achieves complete NO 3 − reduction, 96.7% NH 3 selectivity, and 81.8% faradaic efficiency with a NO 3 − concentration of 100 m m at a current density of 100 mA m −2 . Density functional theory (DFT) calculations reveal that phosphating and Fe doping synergistically enhance NO 3 − adsorption and increase the availability of active hydrogen, thus favoring NH 3 production at a low energy barrier of 0.695 eV. Additionally, the superhydrophilicity of the Fe‐Ni 2 P/NF nanoflower catalyst promotes mass transfer by facilitating electrolyte access and ensuring rapid gas bubble release. This study provides a sustainable and scalable method for converting NO 3 − ‐laden wastewater into valuable ammonia products.

Authors

Institutions

Publication Details

Journal
Advanced Energy Materials
Published
2025-02-13
DOI
https://doi.org/10.1002/aenm.202405442
Citations
28
Primary Topic
Ammonia Synthesis and Nitrogen Reduction
Type
article
Field-Weighted Citation Impact
10.89

Funders

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

Tailoring Electronic and Morphology Features of Iron‐Doped Ni2P Nanoflowers for Enhanced Ammonia Electrosynthesis in Solid Electrolyte Reactors

Ning Deng, Xin Huang, Qi Zhang, Congcong Ni
28 citations
Advanced Energy Materials
Ammonia Synthesis and Nitrogen Reduction
10.89
article

Tailoring Electronic and Morphology Features of Iron‐Doped Ni2P Nanoflowers for Enhanced Ammonia Electrosynthesis in Solid Electrolyte Reactors

Ning Deng, Xin Huang, Qi Zhang, Congcong Ni
article en
28 citations

Abstract

Abstract Electrochemical nitrate (NO 3 − ) reduction to ammonia (NH 3 ) presents a promising route for both wastewater treatment and ammonia generation but still suffers from sluggish catalytic activity, insufficient mass transfer, and the reliance on high‐concentration supporting electrolytes. This work reports an innovative and efficient ammonia electrosynthesis reactor by integrating a self‐assembled iron‐doped Ni 2 P (Fe‐Ni 2 P/NF) nanoflower cathode with a solid‐electrolyte (SE). The SE design eliminates the need for supporting electrolytes, providing a highly efficient ion‐conducting pathway and enabling the direct production of NH 3 from NO 3 − . Through tailoring the electronic and surface characteristics of Fe‐Ni 2 P/NF, this reactor achieves complete NO 3 − reduction, 96.7% NH 3 selectivity, and 81.8% faradaic efficiency with a NO 3 − concentration of 100 m m at a current density of 100 mA m −2 . Density functional theory (DFT) calculations reveal that phosphating and Fe doping synergistically enhance NO 3 − adsorption and increase the availability of active hydrogen, thus favoring NH 3 production at a low energy barrier of 0.695 eV. Additionally, the superhydrophilicity of the Fe‐Ni 2 P/NF nanoflower catalyst promotes mass transfer by facilitating electrolyte access and ensuring rapid gas bubble release. This study provides a sustainable and scalable method for converting NO 3 − ‐laden wastewater into valuable ammonia products.

Advanced Energy MaterialsVol. 15(23)
Shanghai University (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 1%
Ammonia Synthesis and Nitrogen Reduction
10.89
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.