Issue 31, 2020

PtN3-Embedded graphene as an efficient catalyst for electrochemical reduction of nitrobenzene to aniline: a theoretical study

Abstract

The electrochemical reduction of nitrobenzene (NBER) holds great promise for not only removing toxic pollutants, but also producing valuable aniline, in which the development of catalysts with high-efficiency still remains a huge challenge. In this work, by means of density functional theory (DFT) computations, we proposed several single transition metal (TM) atoms embedded into the single vacancy of graphene with nitrogen-doping (TMN3/G, TM = Ni, Cu, Pd, and Pt) as the catalysts for NBER. Our results revealed that, among these candidates, PtN3/G is the most active catalyst for the NBER due to its smallest limiting potential (−0.21 V), in which the hydrogenation of Ph-NO2* to Ph-NOOH* is identified as the potential-determining step. Compared with other catalysts, the strongest binding strength of Ph-NOOH* with PtN3/G is responsible for its superior catalytic activity towards NBER, which can be deeply understood on the basis of the corresponding electronic structure analysis. Thus, PtN3/G is a quite promising single-atom-catalyst with high efficiency for nitrobenzene reduction, which provides a rational paradigm for converting harmful nitrobenzene to valuable aniline under ambient conditions.

Graphical abstract: PtN3-Embedded graphene as an efficient catalyst for electrochemical reduction of nitrobenzene to aniline: a theoretical study

Supplementary files

Article information

Article type
Paper
Submitted
04 May 2020
Accepted
14 Jul 2020
First published
15 Jul 2020

Phys. Chem. Chem. Phys., 2020,22, 17639-17645

PtN3-Embedded graphene as an efficient catalyst for electrochemical reduction of nitrobenzene to aniline: a theoretical study

S. Wang, Y. Liu and J. Zhao, Phys. Chem. Chem. Phys., 2020, 22, 17639 DOI: 10.1039/D0CP02389B

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