Integrating plasmon and vacancies over oxide perovskite for synergistic CO2 methanation
The photocatalytic reduction of CO 2 to CH 4 offers a promising path for sustainable energy conversion, but its complexity, requiring an eight-electron transfer, poses significant challenges. This study presents a novel method to enhance the activity and selectivity of this reaction using Ag nanoparticles as cocatalysts on a mesoporous perovskite semiconductor, NiTiO 3 . By leveraging the synergistic effects of localized surface plasmon resonance (LSPR) and strategically engineered vacancies, the Ag-NiTiO3 catalyst achieves a 15-fold increase in CH 4 production and near-perfect selectivity, up from 92.4 % in pristine NiTiO 3 . Advanced simulations, including finite-difference time-domain (FDTD) and density functional theory (DFT), highlight the crucial role of LSPR-induced local electric fields and vacancies in enhancing methane selectivity. The integration of Ag nanoparticles into the NiTiO 3 matrix not only facilitates efficient electron-hole separation but also promotes the formation of vacancies essential for the CO 2 to CH 4 conversion. This work offers profound insights into the interaction between light, plasmonic materials, and semiconductor properties, providing a robust platform for optimizing photocatalytic performance. These findings advance our understanding of photocatalytic CO 2 reduction mechanisms, paving the way for designing more efficient and selective photocatalysts, contributing to broader CO 2 utilization strategies and addressing global carbon emissions and energy challenges. • Plasmon-Enhanced Photocatalysis: Ag-NiTiO 3 catalyzes the reduction of CO 2 via localized surface plasmon resonance effect. • Vacancy Engineering Synergy: Oxygen vacancies significantly boosting catalytic efficiency and methane production. • Mechanistic Insights via Simulations: FDTD and DFT analyses reveal the synergistic of LSPR effect and vacancies. • Exceptional Performance and Scalability: Chemical reduction method achieves higher CH 4 production and selectivity.
Authors
- Rosalie K. Hocking (ORCID: https://orcid.org/0000-0002-2213-8786)
- Xuechen Jing (ORCID: https://orcid.org/0009-0005-7078-3455)
- Kang Hui Lim (ORCID: https://orcid.org/0000-0002-8040-6814)
- Nicholas J. Cox (ORCID: https://orcid.org/0000-0002-7815-6115)
- Shuwen Cheng
- Claudia Li (ORCID: https://orcid.org/0000-0002-1113-5926)
- Martyna Judd (ORCID: https://orcid.org/0000-0003-2867-0922)
- Xiaozhou Liao (ORCID: https://orcid.org/0000-0001-8565-1758)
- Guohua Jia (ORCID: https://orcid.org/0000-0003-1179-2763)
- Zongyou Yin (ORCID: https://orcid.org/0000-0002-0800-4490)
- Zhehao Sun (ORCID: https://orcid.org/0000-0001-5403-6912)
- Sibudjing Kawi (ORCID: https://orcid.org/0000-0002-0710-8423)
- Ying Liu (ORCID: https://orcid.org/0000-0002-1262-2590)
Institutions
- University of Technology Sydney (AU)
- Australian National University (AU)
- The University of Sydney (AU)
- National University of Singapore (SG)
- Curtin University (AU)
- Swinburne University of Technology (AU)
Publication Details
- Journal
- Nano Energy
- Published
- 2025-03-24
- DOI
- https://doi.org/10.1016/j.nanoen.2025.110917
- Citations
- 11
- Primary Topic
- Catalytic Processes in Materials Science
- Type
- article
- Field-Weighted Citation Impact
- 5.70