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Optimizing photocatalytic CO2 reduction with simultaneous pollutant degradation is highly desired. However, the photocatalytic efficiency is restricted by the unmatched redox ability, high carriers’ recombination rate, and lack of reactive sites of the present photocatalysts. Herein, the CuInZnS-Ti3C2Tx hybrid with matched redox ability and suitable CO2 adsorption property was rationally synthesized. The nucleation and growth process of CuInZnS was interfered by the addition of Ti3C2Tx with a negative charge, resulting in thinner nanosheets and richer reactive sites. Besides, the Schottky heterojunction built in the hybrid simultaneously improved the photoexcited charge transfer property, sunlight absorption range, and CO2 adsorption ability. Consequently, upon exposure to sunlight, CuInZnS-Ti3C2Tx exhibited an efficient photocatalytic CO2 reduction performance (10.2 μmol·h−1·g−1) with synergetic tetracycline degradation, obviously higher than that of pure CuInZnS. Based on the combination of theoretical calculation and experimental characterization, the photocatalytic mechanism was investigated comprehensively. This work offers a reference for the remission of worldwide energy shortage and environmental pollution problems.

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Publication history

Received: 01 April 2022
Revised: 10 June 2022
Accepted: 13 June 2022
Published: 11 July 2022
Issue date: September 2022

Copyright

© Tsinghua University Press 2022

Acknowledgements

Acknowledgements

This work was supported by the National Natural Science Foundation of China (Nos. 21801092, U1804138, and 22006057), the Program for the Development of Science and Technology of Jilin Province (Nos. 20210101409JC and 20200801040GH), the Program for Science & Technology Innovative Research Team at University of Henan Province (No. 20IRTSTHN007), the Science & Technology Innovation Talents in Universities of Henan Province (No. 22HASTIT028), the Science and Technology Research Project of Henan Province (Nos. 202102210055, 212102210128, and 202102310615), Henan Postdoctoral Foundation (No. 202003013), and the General project of Chinese postdoctoral program (No. 2020M672263). Eceshi (www.eceshi. com) was acknowledged for the TEM analysis.

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