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10 Feb 13:09

Boron-Doped Graphene for Electrocatalytic N2 Reduction

Publication date: 15 August 2018

Source: Joule, Volume 2, Issue 8

Author(s): Xiaomin Yu, Peng Han, Zengxi Wei, Linsong Huang, Zhengxiang Gu, Sijia Peng, Jianmin Ma, Gengfeng Zheng

Context & Scale

Ammonia (NH3) is an essential chemical that is widely used in agriculture and industry applications. The industry-scale Haber-Bosch process accounts for ∼1.5% of global energy consumption and a significant CO2 emission annually, due to the extreme inertness of N2 and carbon emission for producing H2 precursor. The electrochemical reduction of N2 (NRR) in aqueous solutions at ambient conditions is extremely challenging and requires rational design of electrocatalytic centers. Previous reports predominantly used metal-based electrocatalysts, and the efficiency has generally been extremely low. In this work, we demonstrate for the first time boron-doped graphene as an efficient metal-free NRR electrocatalyst in aqueous solutions at ambient conditions.

Summary

Electrochemical N2 reduction in aqueous solutions at ambient conditions is extremely challenging and requires rational design of electrocatalytic centers. We demonstrate a boron-doped graphene as an efficient metal-free N2 reduction electrocatalyst. Boron doping in the graphene framework leads to redistribution of electron density, where the electron-deficient boron sites provide enhanced binding capability to N2 molecules. Density functional theory calculations reveal the catalytic activities of different boron-doped carbon structures, in which the BC3 structure enables the lowest energy barrier for N2 electroreduction to NH3. At a doping level of 6.2%, the boron-doped graphene achieves a NH3 production rate of 9.8 μg·hr−1·cm−2 and one of the highest reported faradic efficiencies of 10.8% at −0.5 V versus reversible hydrogen electrode in aqueous solutions at ambient conditions. This work suggests the strong potential of atomic-scale design for efficient electrocatalysts for N2 reduction.

Graphical Abstract

Graphical abstract for this article