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Balanced NOx and Proton Adsorption for Efficient Electrocatalytic NOx to NH3 Conversion

  • Yue Hu
  • , Jiawei Liu
  • , Carmen Lee
  • , Wenyu Luo
  • , Jinfeng Dong
  • , Zhishan Liang
  • , Mengxin Chen
  • , Erhai Hu
  • , Mingsheng Zhang
  • , Xiang Yun Debbie Soo
  • , Qiang Zhu
  • , Fengkun Li
  • , Rajdeep Singh Rawat
  • , Man-Fai Ng
  • , Lixiang Zhong
  • , Bo Han
  • , Dongsheng Geng*
  • , Qingyu Yan*
  • *Corresponding author for this work

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

Abstract

Electrocatalytic nitrate (NO3)/nitrite (NO2) reduction reaction (eNOxRR) to ammonia under ambient conditions presents a green and promising alternative to the Haber−Bosch process. Practically available NOx sources, such as wastewater or plasma-enabled nitrogen oxidation reaction (p-NOR), typically have low NOx concentrations. Hence, electrocatalyst engineering is important for practical eNOxRR to obtain both high NH3 Faradaic efficiency (FE) and high yield rate. Herein, we designed balanced NOx and proton adsorption by properly introducing Cu sites into the Fe/Fe2O3 electrocatalyst. During the eNOxRR process, the H adsorption is balanced, and the good NOx affinity is maintained. As a consequence, the designed Cu-Fe/Fe2O3 catalyst exhibits promising performance, with an average NH3 FE of ∼98% and an average NH3 yield rate of 15.66 mg h-1 cm-2 under the low NO3 concentration (32.3 mM) of typical industrial wastewater at an applied potential of −0.6 V versus reversible hydrogen electrode (RHE). With low-power direct current p-NOR generated NOx (23.5 mM) in KOH electrolyte, the Cu−Fe/Fe2O3 catalyst achieves an FE of ∼99% and a yield rate of 15.1 mg h-1 cm-2 for NH3 production at −0.5 V (vs RHE). The performance achieved in this study exceeds industrialization targets for NH3 production by exploiting two available low-concentration NOx sources. © 2023 American Chemical Society.
Original languageEnglish
Pages (from-to)23637-23648
Number of pages12
JournalACS Nano
Volume17
Issue number23
Online published18 Nov 2023
DOIs
Publication statusPublished - 12 Dec 2023
Externally publishedYes

Funding

The authors acknowledge funding support from 111 Project (No. B170003) and Foshan Science and Technology Innovation Project (No. 2018IT100363) of China, Singapore MOE AcRF Tier 1 Grant No. 2020-T1-001-031 and RT6/22, the MTC programmatic fund (Grant No. M23L9b0052) from A*STAR, and National Supercomputing Centre (NSCC) Singapore and A*STAR Computational Resource Centre (A*CRC) through the use of its high performance computing facilities.

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 6 - Clean Water and Sanitation
    SDG 6 Clean Water and Sanitation

Research Keywords

  • ammonia production
  • balanced NOx− and proton adsorption
  • electrocatalytic nitrate/nitrite reduction
  • industrial wastewater
  • plasma-enabled nitrogen oxidation

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