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  5. Facile synthesis of Pt clusters decorated TiO<sub>2</sub> nanoparticles for efficient photocatalytic degradation of antibiotics

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Article
en
2024

Facile synthesis of Pt clusters decorated TiO<sub>2</sub> nanoparticles for efficient photocatalytic degradation of antibiotics

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en
2024
Vol 3 (6)
Vol. 3
DOI: 10.1002/idm2.12203

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Lin Gu
Lin Gu

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Pan Yin
Weizhen Liang
Zongpeng Wang
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Abstract

Abstract TiO 2 has attracted much attention in the field of photocatalytic degradation of antibiotics due to its good photostability, nontoxicity, and low cost. However, the rapid recombination of photogenerated carriers limits the further improvement of its photocatalytic activity. Here, a facile microwave‐assisted hydrothermal method has been developed to prepare Pt clusters decorated TiO 2 nanoparticles. Pt clusters ranging in size from 1 to 2 nm are uniformly distributed across the surface of the TiO 2 matrix. A pronounced charge transfer phenomenon is discernible between the Pt and TiO 2 components. It is revealed that the charge transfer enables faster transfer and separation of photogenerated electrons and holes, which are beneficial for the improvement of photocatalytic degradation of both ofloxacin and levofloxacin. The degradation capability can be attributed to the efficient generation of •OH or •O 2 − species within the solution. The parallel adsorption model of TiO 2 on antibiotic molecules is verified, and the degradation reaction pathway has been elucidated. This work provides a facile method for optimizing the performance of TiO 2 photocatalysts, which can be extended to other oxide photocatalysts.

How to cite this publication

Pan Yin, Weizhen Liang, Zongpeng Wang, Junjie Gong, Yichao Wang, Aijiao Xu, Zhenyuan Teng, Shijie Shen, Lin Gu, Wenwu Zhong, Hongsheng Lu, Baofu Chen (2024). Facile synthesis of Pt clusters decorated TiO<sub>2</sub> nanoparticles for efficient photocatalytic degradation of antibiotics. , 3(6), DOI: https://doi.org/10.1002/idm2.12203.

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Publication Details

Type

Article

Year

2024

Authors

12

Datasets

0

Total Files

0

Language

en

DOI

https://doi.org/10.1002/idm2.12203

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