A bifunctional CoNi alloy for electrocatalytically coupled cathodic nitrate reduction and anodic HPAM oxidation

The construction of electrocatalytic cathodic nitrate reduction and anodic polyacrylamide (HPAM) oxidation reactions is a promising new electrocatalytic reaction system, which promises simultaneous ammonia synthesis and HPAM degradation. Here, we synthesised an N-doped C nanotube-encapsulated CoNi nano-alloy and used it for electrocatalytic NO 3 − reduction and HPAM oxidation reactions. Therein, CoNi-0.5 could achieve the maximum ammonia yield and Faraday efficiency of 5516.73 ± 66.07 μg h −1 mg cat −1 and 94.71 ± 1.21 %, respectively. Meanwhile, the maximum degradation rate of HPAM was 73.02 ± 1.16 % at 2 h. By In-situ ATR-SEIRAS, in-situ DEMS demonstrated that *NOH is an important reaction intermediate in the ammonia synthesis process, and the bimetallic CoNi alloy can effectively reduce the reaction energy barrier for NO 3 − reduction. This work presents a new strategy for constructing a coupled system for electrocatalytic NO 3 − reduction. • Bifunctional CoNi-x (x = 0.5,1 and 2) nano-alloy electrocatalysts • Electrocatalytic cathodic nitrate reduction coupled to anodic PAM oxidation • Reaction pathways and reaction intermediates are detected by in-situ ATR-SEIRAS, in-situ DEMS . • Revealing kinetic processes and rate-determining steps in NO 3 RR.

Authors

Institutions

Publication Details

Journal
Journal of Electroanalytical Chemistry
Published
2025-04-04
DOI
https://doi.org/10.1016/j.jelechem.2025.119105
Primary Topic
Electrocatalysts for Energy Conversion
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A bifunctional CoNi alloy for electrocatalytically coupled cathodic nitrate reduction and anodic HPAM oxidation

Yu Fu, Saule Aidarova, Shu‐Jun Liu, Lijie Qi et al.
Journal of Electroanalytical Chemistry
Electrocatalysts for Energy Conversion
article

A bifunctional CoNi alloy for electrocatalytically coupled cathodic nitrate reduction and anodic HPAM oxidation

Yu Fu, Saule Aidarova, Shu‐Jun Liu, Lijie Qi, Hongbin Yang
article en

Abstract

The construction of electrocatalytic cathodic nitrate reduction and anodic polyacrylamide (HPAM) oxidation reactions is a promising new electrocatalytic reaction system, which promises simultaneous ammonia synthesis and HPAM degradation. Here, we synthesised an N-doped C nanotube-encapsulated CoNi nano-alloy and used it for electrocatalytic NO 3 − reduction and HPAM oxidation reactions. Therein, CoNi-0.5 could achieve the maximum ammonia yield and Faraday efficiency of 5516.73 ± 66.07 μg h −1 mg cat −1 and 94.71 ± 1.21 %, respectively. Meanwhile, the maximum degradation rate of HPAM was 73.02 ± 1.16 % at 2 h. By In-situ ATR-SEIRAS, in-situ DEMS demonstrated that *NOH is an important reaction intermediate in the ammonia synthesis process, and the bimetallic CoNi alloy can effectively reduce the reaction energy barrier for NO 3 − reduction. This work presents a new strategy for constructing a coupled system for electrocatalytic NO 3 − reduction. • Bifunctional CoNi-x (x = 0.5,1 and 2) nano-alloy electrocatalysts • Electrocatalytic cathodic nitrate reduction coupled to anodic PAM oxidation • Reaction pathways and reaction intermediates are detected by in-situ ATR-SEIRAS, in-situ DEMS . • Revealing kinetic processes and rate-determining steps in NO 3 RR.

Journal of Electroanalytical ChemistryVol. 987
Kazakh-British Technical University (KZ), Shenyang Fire Research Institute (CN), China University of Petroleum, East China (CN)
Openalex Percentile: Top 96%
Electrocatalysts for Energy Conversion
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.