Volume 63, Issue 14 e202317167
Research Article

Descriptor-Based Volcano Relations Predict Single Atoms for Hydroxylamine Electrosynthesis

Rong Yang

Rong Yang

Department of Chemistry, School of Science, Tianjin University, Tianjin, 300072 China

These authors contributed equally to this work.

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Dr. Yuting Wang

Dr. Yuting Wang

Department of Chemistry, School of Science, Tianjin University, Tianjin, 300072 China

These authors contributed equally to this work.

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Hongjiao Li

Hongjiao Li

School of Chemical Engineering, Sichuan University, Chengdu, 610065 Sichuan, China

These authors contributed equally to this work.

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Jin Zhou

Jin Zhou

School of Chemical Engineering and Technology, Tianjin University, Tianjin, 300072 China

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Zeyuan Gao

Zeyuan Gao

Department of Chemistry, School of Science, Tianjin University, Tianjin, 300072 China

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Dr. Cuibo Liu

Dr. Cuibo Liu

Department of Chemistry, School of Science, Tianjin University, Tianjin, 300072 China

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Prof. Bin Zhang

Corresponding Author

Prof. Bin Zhang

Department of Chemistry, School of Science, Tianjin University, Tianjin, 300072 China

Tianjin Key Laboratory of Molecular Optoelectronic Sciences, Frontiers Science Center for Synthetic Biology (Ministry of Education), Tianjin, 300192 China

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First published: 07 February 2024
Citations: 23

Graphical Abstract

A weak *NH2OH binding affinity and a favorable reaction pathway (*NHO pathway) jointly enable single-atom catalysts (SACs) with superior hydroxylamine (NH2OH) selectivity. Then, an activity volcano plot of Gad(*NHO) is established to predict Mn SACs as optimal electrocatalysts that exhibit pH-dependent activity. Furthermore, Mn−Co geminal-atom catalysts are predicted to optimize Gad(*NHO) and are experimentally proven to enhance NH2OH formation.

Abstract

Hydroxylamine (NH2OH) is an important feedstock in fuels, pharmaceuticals, and agrochemicals. Nanostructured electrocatalysts drive green electrosynthesis of hydroxylamine from nitrogen oxide species in water. However, current electrocatalysts still suffer from low selectivity and manpower-consuming trial-and-error modes, leaving unclear selectivity/activity origins and a lack of catalyst design principles. Herein, we theoretically analyze key determinants of selectivity/activity and propose the adsorption energy of NHO (Gad(*NHO)) as a performance descriptor. A weak *NH2OH binding affinity and a favorable reaction pathway (*NHO pathway) jointly enable single-atom catalysts (SACs) with superior NH2OH selectivity. Then, an activity volcano plot of Gad(*NHO) is established to predict a series of SACs and discover Mn SACs as optimal electrocatalysts that exhibit pH-dependent activity. These theoretical prediction results are also confirmed by experimental results, rationalizing our Gad(*NHO) descriptor. Furthermore, Mn−Co geminal-atom catalysts (GACs) are predicted to optimize Gad(*NHO) and are experimentally proved to enhance NH2OH formation.

Conflict of interests

The authors declare no conflict of interest.

Data Availability Statement

The data that support the findings of this study are available from the corresponding author upon reasonable request.

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