Boron and Oxygen Dual‐Doped Carbon Nitride Nanotubes with Frustrated Lewis Pairs for Efficient Electrocatalytic Ammonia Synthesis

This work reports boron and oxygen dual-doped carbon nitride nanotubes (B/O-CNNTs) prepared via a copolymerization process for electrocatalytic ammonia synthesis from nitrogen gas (NRR) and nitrate (NO<sub>3</sub>RR) sources, respectively. By adjusting the dosage of boron oxide precursor, the texture and content of B/O dual dopants and the coordination environment in the resulting 1D CNNTs can be tuned. The best B/O-CNNTs can achieve maximum Faradaic efficiencies of 35% and 96% at -1.1 V versus RHE with corresponding ammonia yields of 16.7 and 211.4 µg h<sup>-1</sup> mg<sup>-1</sup>, respectively. A comparatively higher selectivity is achieved in the NRR process compared to NO<sub>3</sub>RR. The B/O-induced coordinations boost electron transfer rates along the longitudinal axis. The presence of carbon vacancies and the unique 1D nanotubular structure enhance interactions among reactants. Concurrently, the formed frustrated Lewis pairs are pivotal in activating chemisorbed nitrogen gas or nitrate, resulting in notable accelerations of ammonia generation kinetics. In situ UV-vis spectroscopy reveals that the ideal potential of -1.1 V versus RHE facilitates the involvement of free electrons in the reaction, as it aligns with the conduction potential of B/O-CNNTs. This study paves the way for the design of non-metal-based electrocatalysts with dual dopants for sustainable electrocatalysis toward ammonia synthesis.

Authors

Institutions

Publication Details

Journal
Small Methods
Published
2024-12-04
DOI
https://doi.org/10.1002/smtd.202401672
Citations
11
Primary Topic
Ammonia Synthesis and Nitrogen Reduction
Type
article
Field-Weighted Citation Impact
1.18

Funders

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

Boron and Oxygen Dual‐Doped Carbon Nitride Nanotubes with Frustrated Lewis Pairs for Efficient Electrocatalytic Ammonia Synthesis

Jianfeng Yao, Xiang Zhong, Qiufan Sun, Zhengtao Jia et al.
11 citations
Small Methods
Ammonia Synthesis and Nitrogen Reduction
1.18
article

Boron and Oxygen Dual‐Doped Carbon Nitride Nanotubes with Frustrated Lewis Pairs for Efficient Electrocatalytic Ammonia Synthesis

Jianfeng Yao, Xiang Zhong, Qiufan Sun, Zhengtao Jia, Yan Wang, Meng Jiang, Yuxiang Zhu
article en
11 citations

Abstract

This work reports boron and oxygen dual-doped carbon nitride nanotubes (B/O-CNNTs) prepared via a copolymerization process for electrocatalytic ammonia synthesis from nitrogen gas (NRR) and nitrate (NO<sub>3</sub>RR) sources, respectively. By adjusting the dosage of boron oxide precursor, the texture and content of B/O dual dopants and the coordination environment in the resulting 1D CNNTs can be tuned. The best B/O-CNNTs can achieve maximum Faradaic efficiencies of 35% and 96% at -1.1 V versus RHE with corresponding ammonia yields of 16.7 and 211.4 µg h<sup>-1</sup> mg<sup>-1</sup>, respectively. A comparatively higher selectivity is achieved in the NRR process compared to NO<sub>3</sub>RR. The B/O-induced coordinations boost electron transfer rates along the longitudinal axis. The presence of carbon vacancies and the unique 1D nanotubular structure enhance interactions among reactants. Concurrently, the formed frustrated Lewis pairs are pivotal in activating chemisorbed nitrogen gas or nitrate, resulting in notable accelerations of ammonia generation kinetics. In situ UV-vis spectroscopy reveals that the ideal potential of -1.1 V versus RHE facilitates the involvement of free electrons in the reaction, as it aligns with the conduction potential of B/O-CNNTs. This study paves the way for the design of non-metal-based electrocatalysts with dual dopants for sustainable electrocatalysis toward ammonia synthesis.

Small MethodsVol. 9(5)
Nanjing Forestry University (CN)
National Natural Science Foundation of China
Responsible consumption and production
Openalex Percentile: Top 23%
Ammonia Synthesis and Nitrogen Reduction
1.18
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.