Issue 9, 2024

Identifying active sites of Co3O4 catalysts for C2H2 oxidation using combined computational and experimental methods

Abstract

Combined computational and experimental studies are carried out to unravel the role of active centers on C2H2 oxidation over Co3O4 catalysts. Density functional theory (DFT) studies indicate that Co2+ ions on Co3O4 (110)-A exhibit stronger reducibility than Co3+ and oxygen species activated by Co2+ have better catalytic performance. On the Co3O4 (110)-B surface, Co2+ ions represent the presence of oxygen vacancies. O2 can be adsorbed on oxygen vacancies to form active O2− species, which oxidize C2H2 to CO2 and H2O. Co3O4 catalysts with different Co2+ contents are prepared to experimentally verify calculation results. The catalytic activity varies in the order of Co3O4-sheets-reduced > Co3O4-sheets > Co3O4-sticks-reduced > Co3O4-sticks, in accordance with the trend of Co2+ contents. Furthermore, microkinetic studies prove that the key factor of C2H2 oxidation is C–C dissociation. Decreasing the C–C cleavage barrier significantly enhances the overall reaction rates. Both computational and experimental results show that the presence of Co2+ on the surface of the Co3O4 catalyst is the main contributing factor to the activity of C2H2 oxidation. As minimal research has been reported on C2H2 oxidation, this study may provide a guideline for eliminating other volatile organic compounds over Co3O4 catalysts.

Graphical abstract: Identifying active sites of Co3O4 catalysts for C2H2 oxidation using combined computational and experimental methods

Supplementary files

Transparent peer review

To support increased transparency, we offer authors the option to publish the peer review history alongside their article.

View this article’s peer review history

Article information

Article type
Paper
Submitted
24 Apr. 2024
Accepted
16 Jūl. 2024
First published
19 Jūl. 2024

Environ. Sci.: Nano, 2024,11, 3943-3955

Identifying active sites of Co3O4 catalysts for C2H2 oxidation using combined computational and experimental methods

J. Deng, M. Gao, M. Wang, Y. Li, W. Song, L. Wang, H. Zheng and J. Liu, Environ. Sci.: Nano, 2024, 11, 3943 DOI: 10.1039/D4EN00358F

To request permission to reproduce material from this article, please go to the Copyright Clearance Center request page.

If you are an author contributing to an RSC publication, you do not need to request permission provided correct acknowledgement is given.

If you are the author of this article, you do not need to request permission to reproduce figures and diagrams provided correct acknowledgement is given. If you want to reproduce the whole article in a third-party publication (excluding your thesis/dissertation for which permission is not required) please go to the Copyright Clearance Center request page.

Read more about how to correctly acknowledge RSC content.

Social activity

Spotlight

Advertisements