Issue 16, 2023

The modulated oxygen evolution reaction performance of LaFeO3 with abundant electronic structures via a design of stoichiometry offset

Abstract

Transition metal oxides have been widely employed as electrocatalysts in various electrochemical processes such as oxygen evolution reaction (OER) owing to their designable adsorption/desorption ability of water intermediates by engineering their electronic structures. However, the coexistence of multiple chemical valences of the transition metal always hides the realization of the functional active phase in OER. In this study, we have performed the OER measurements on LaFeO3 (LFO) catalysts to reveal the complex relationships between 3d electronic structure and its OER responses; herein, several electronic statuses, including t42ge2g (S = 2), t52ge1g (S = 1), or t62ge0g (S = 0) of Fe ions, can be dominantly achieved by the design of stoichiometry offset in LFO. It is found that the current density of LFO at 1.9 V shows a volcanic dependence on the oxygen content. After the comprehensive characterization of Fe and oxygen ions in LFO by X-ray photoelectron spectroscopy and magnetic hysteresis measurements, we have found the OH adsorption capacity and exchange interaction of Fe ions jointly determine the OER performance. Our research provides a stepwise evolution of the multiple spin states in LFO, and their subsequent OER responses are demonstrated, which can benefit the fundamental understanding of the link between 3d electronic structure and OER performance and the design for further promising transition metal oxide catalysts.

Graphical abstract: The modulated oxygen evolution reaction performance of LaFeO3 with abundant electronic structures via a design of stoichiometry offset

Supplementary files

Article information

Article type
Paper
Submitted
25 Dec 2022
Accepted
07 Mar 2023
First published
17 Apr 2023

Phys. Chem. Chem. Phys., 2023,25, 11725-11731

The modulated oxygen evolution reaction performance of LaFeO3 with abundant electronic structures via a design of stoichiometry offset

Y. Zhang, H. Xu, M. Liu, J. Qi, L. Hu, M. Feng and W. Lü, Phys. Chem. Chem. Phys., 2023, 25, 11725 DOI: 10.1039/D2CP06015A

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