Preferential Cation Vacancies in Perovskite Hydroxide for the Oxygen Evolution Reaction
The oxygen evolution reaction (OER) is an ideal model to study the relationship between the activity and the surface properties of catalysts. Defect engineering has been extensively developed to tune the electrocatalytic activity for OER. Compared to the anion vacancies in metal oxides, cation vacan...
Saved in:
Published in: | Angewandte Chemie International Edition Vol. 57; no. 28; pp. 8691 - 8696 |
---|---|
Main Authors: | , , , , , , , |
Format: | Journal Article |
Language: | English |
Published: |
Germany
Wiley Subscription Services, Inc
09-07-2018
|
Edition: | International ed. in English |
Subjects: | |
Online Access: | Get full text |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Summary: | The oxygen evolution reaction (OER) is an ideal model to study the relationship between the activity and the surface properties of catalysts. Defect engineering has been extensively developed to tune the electrocatalytic activity for OER. Compared to the anion vacancies in metal oxides, cation vacancies are more challenging to selectively generate, and the insight into the structure and activity of cation vacancies‐rich catalysts are lacked. Herein, using SnCoFe perovskite hydroxide as a precursor, abundant Sn vacancies on the surface were preferentially produced by Ar plasma. Sn vacancies could be preferentially produced as confirmed by the X‐ray absorption spectra, probably owing to the lower lattice energy and weaker chemical bonds of Sn(OH)4. The Sn vacancies promoted the exposure of active CoFe sites, resulting in an amorphous surface layer, modulated the conductivity, and thus enhanced the OER performance.
Argon plasma can ensure preferential Sn vacancies on the surface of SnCoFe perovskite hydroxide, which exhibits a much higher current density and a lower overpotential for the oxygen evolution reaction. |
---|---|
Bibliography: | These authors contributed equally to this work. ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 |
ISSN: | 1433-7851 1521-3773 |
DOI: | 10.1002/anie.201805520 |