Enhanced Nitrate‐to‐Ammonia Activity on Fe/ZnO Nanoparticles via Tuning Intermediate Adsorption in Alkaline Electrolyte

Abstract The electrocatalytic recycling of waste nitrate (NO 3 RR) is a promising decentralized route for green ammonia synthesis. Nonetheless, it suffers from the competing hydrogen evolution reaction and the insufficient proton supply in high pH conditions. Herein, iron oxide nanoparticles anchored on ZnO is introduced as a strategy to enhance the water dissociation ability and proton transfer rate, advancing NH 4 + production from alkaline NO 3 RR. Supported by a set of ex situ and in situ characterization, the findings reveal the reduction of iron oxides, along with improvements in charge transfer properties and proton generation from H 2 O. Theoretical calculations show that iron oxides reduce the kinetic barrier of the rate‐limiting step (*NO 2 ‐to‐*NO 2 H) and result in a thermodynamically favorable process to hydrogenation steps, which in turn reduce the overall energy barrier of alkaline NO 3 RR. Optimal catalytic activity is realized with a Fe loading of 0.5 wt.%, delivering a Faradaic efficiency of ≈83% for ammonium with a NH 4 + yield rate of 31 nmol s −1 cm −2 at −0.7 V versus RHE. The results pave the way for the utilization of bi‐metal interaction to tune the reaction pathway for achieving sustainable ammonium synthesis in alkaline, contributing to ongoing efforts to achieve a sustainable nitrogen cycle via N‐based electrochemistry.

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Publication Details

Journal
Advanced Functional Materials
Published
2024-08-15
DOI
https://doi.org/10.1002/adfm.202408704
Citations
17
Primary Topic
Ammonia Synthesis and Nitrogen Reduction
Type
article
Field-Weighted Citation Impact
1.82

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article

Enhanced Nitrate‐to‐Ammonia Activity on Fe/ZnO Nanoparticles via Tuning Intermediate Adsorption in Alkaline Electrolyte

Priyank V. Kumar, Rahman Daiyan, Thanh Son Bui, George E. P. O'Connell et al.
17 citations
Advanced Functional Materials
Ammonia Synthesis and Nitrogen Reduction
1.82
article

Enhanced Nitrate‐to‐Ammonia Activity on Fe/ZnO Nanoparticles via Tuning Intermediate Adsorption in Alkaline Electrolyte

Priyank V. Kumar, Rahman Daiyan, Thanh Son Bui, George E. P. O'Connell, Rose Amal, Zhipeng Ma, Lingyi Peng, Maggie Lim, Jodie A. Yuwono, Emma C. Lovell, Yuwei Yang
article en
17 citations

Abstract

Abstract The electrocatalytic recycling of waste nitrate (NO 3 RR) is a promising decentralized route for green ammonia synthesis. Nonetheless, it suffers from the competing hydrogen evolution reaction and the insufficient proton supply in high pH conditions. Herein, iron oxide nanoparticles anchored on ZnO is introduced as a strategy to enhance the water dissociation ability and proton transfer rate, advancing NH 4 + production from alkaline NO 3 RR. Supported by a set of ex situ and in situ characterization, the findings reveal the reduction of iron oxides, along with improvements in charge transfer properties and proton generation from H 2 O. Theoretical calculations show that iron oxides reduce the kinetic barrier of the rate‐limiting step (*NO 2 ‐to‐*NO 2 H) and result in a thermodynamically favorable process to hydrogenation steps, which in turn reduce the overall energy barrier of alkaline NO 3 RR. Optimal catalytic activity is realized with a Fe loading of 0.5 wt.%, delivering a Faradaic efficiency of ≈83% for ammonium with a NH 4 + yield rate of 31 nmol s −1 cm −2 at −0.7 V versus RHE. The results pave the way for the utilization of bi‐metal interaction to tune the reaction pathway for achieving sustainable ammonium synthesis in alkaline, contributing to ongoing efforts to achieve a sustainable nitrogen cycle via N‐based electrochemistry.

Advanced Functional MaterialsVol. 34(48)
UNSW Sydney (AU), The University of Adelaide (AU)
Australian Nuclear Science and Technology Organisation, Australian Synchrotron, University of New South Wales, Australian Research Council, National Cancer Institute
Responsible consumption and production
Openalex Percentile: Top 14%
Ammonia Synthesis and Nitrogen Reduction
1.82
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