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Research Article

Photocatalytic CO2 reduction highly enhanced by oxygen vacancies on Pt-nanoparticle-dispersed gallium oxide

Yun-Xiang Pan1( ), Zheng-Qing Sun1, Huai-Ping Cong1,2, Yu-Long Men1, Sen Xin1, Jie Song3( ), Shu-Hong Yu2 ( )
School of Chemistry and Chemical EngineeringHefei University of TechnologyHefei230009China
Division of Nanomaterials & ChemistryHefei National Laboratory for Physical Sciences at the MicroscaleDepartment of ChemistryCAS Center for Excellence in NanoscienceUniversity of Science and Technology of ChinaHefei230026China
Institute of Nano Biomedicine and EngineeringDepartment of Instrument Science and EngineeringSchool of Electronic Information and Electrical EngineeringShanghai Jiao Tong UniversityShanghai200240China
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Abstract

Photocatalytic CO2 reduction on metal-oxide-based catalysts is promising for solving the energy and environmental crises faced by mankind. The oxygen vacancy (Vo) on metal oxides is expected to be a key factor affecting the efficiency of photocatalytic CO2 reduction on metal-oxide-based catalysts. Yet, to date, the question of how an Vo influences photocatalytic CO2 reduction is still unanswered. Herein, we report that, on Vo-rich gallium oxide coated with Pt nanoparticles (Vo-rich Pt/Ga2O3), CO2 is photocatalytically reduced to CO, with a highly enhanced CO evolution rate (21.0 μmol·h-1) compared to those on Vo-poor Pt/Ga2O3 (3.9 μmol·h-1) and Pt/TiO2(P25) (6.7 μmol·h-1). We demonstrate that the Vo leads to improved CO2 adsorption and separation of the photoinduced charges on Pt/Ga2O3, thus enhancing the photocatalytic activity of Pt/Ga2O3. Rational fabrication of an Vo is thereby an attractive strategy for developing efficient catalysts for photocatalytic CO2 reduction.

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Nano Research
Pages 1689-1700

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Cite this article:
Pan Y-X, Sun Z-Q, Cong H-P, et al. Photocatalytic CO2 reduction highly enhanced by oxygen vacancies on Pt-nanoparticle-dispersed gallium oxide. Nano Research, 2016, 9(6): 1689-1700. https://doi.org/10.1007/s12274-016-1063-4

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Received: 07 February 2016
Revised: 28 February 2016
Accepted: 29 February 2016
Published: 28 April 2016
© Tsinghua University Press and Springer-Verlag Berlin Heidelberg 2016