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Research Article

Surface-adsorbed ions on TiO2 nanosheets for selective photocatalytic CO2 reduction

Xiaogang Li1,§Wentuan Bi1,§Zhe Wang2,§Wenguang Zhu2Wangsheng Chu3( )Changzheng Wu1( )Yi Xie1
Hefei National Laboratory for Physical Sciences at the MicroscaleiChEM (Collaborative Innovation Center of Chemistry for Energy Materials)and CAS Key Laboratory of Mechanical Behavior and Design of MaterialsUniversity of Science and Technology of ChinaHefei230026China
International Center for Quantum Design of Functional Materials (ICQD)Hefei National Laboratory for Physical Sciences at the Microscale (HFNL)Synergetic Innovation Center of Quantum Information and Quantum PhysicsDepartment of Physicsand Key Laboratory of Strongly-Coupled Quantum Matter PhysicsChinese Academy of SciencesSchool of Physical SciencesUniversity of Science and Technology of ChinaHefei230026China
National Synchrotron Radiation LaboratoryUniversity of Science and Technology of ChinaHefei230026China

§ Xiaogang Li, Wentuan Bi and Zhe Wang contributed equally to this work.

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Abstract

A method based on the adsorption of ions on the surface of two-dimensional (2D) nanosheets has been developed for photocatalytic CO2 reduction. Isolated Bi ions, confined on the surface of TiO2 nanosheets using a simple ionic adsorption method facilitate the formation of a built-in electric field that effectively promotes charge carrier separation. This leads to an improved performance of the photocatalytic CO2 reduction process with the preferred conversion to CH4. The proposed surface ion-adsorption method is expected to provide an effective approach for the design of highly efficient photocatalytic systems. These findings could be very valuable in photocatalytic CO2 reduction applications.

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Nano Research
Pages 3362-3370

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Cite this article:
Li X, Bi W, Wang Z, et al. Surface-adsorbed ions on TiO2 nanosheets for selective photocatalytic CO2 reduction. Nano Research, 2018, 11(6): 3362-3370. https://doi.org/10.1007/s12274-017-1933-4
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Received: 14 September 2017
Revised: 20 November 2017
Accepted: 22 November 2017
Published: 22 May 2018
© Tsinghua University Press and Springer-Verlag GmbH Germany, part of Springer Nature 2017