Visual Location of Oxygen Vacancies on Bismuth Titanate Nanosheets with Periodic Quantum Well and Promoting H <sub>2</sub> O <sub>2</sub> Photosynthesis

Oxygen vacancy (OV) defect engineering plays a crucial role in enhancing photocatalytic efficiency. However, the direct visual characterization of oxygen vacancies still remains technically limited. Herein, a bismuth titanate (Bi<sub>4</sub>Ti<sub>3</sub>O<sub>12</sub>, BTO-OV) model photocatalyst containing oxygen vacancies is constructed through density functional theory (DFT) calculations to reveal the influence mechanism of distinctive periodic quantum well and oxygen vacancies on the charge transfer behavior in BTO. Notably, the distribution of oxygen vacancies is directly observed using the low-dose integrated differential phase contrast-scanning transmission electron microscopy (iDPC-STEM), providing visual evidence for the location of these oxygen vacancies in BTO-OV. Furthermore, the theoretical calculation results are verified by characterizing the photoelectric properties and conducting performance tests on the hydrogen peroxide (H<sub>2</sub>O<sub>2</sub>) photosynthesis. Specifically, the oxygen vacancies and distinctive periodic quantum well in BTO-OV accelerate charge separation, leading to a H<sub>2</sub>O<sub>2</sub> photosynthesis efficiency reaching 5278 µm g<sup>-1</sup> h<sup>-1</sup>, which is 5 times that of the original BTO. This work offers theoretical and experimental references for the visual characterization of oxygen vacancies and the improvement of the charge transfer mechanism.

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Publication Details

Journal
Small
Published
2025-01-10
DOI
https://doi.org/10.1002/smll.202410883
Citations
5
Primary Topic
Advanced Photocatalysis Techniques
Type
article
Field-Weighted Citation Impact
1.82

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article

Visual Location of Oxygen Vacancies on Bismuth Titanate Nanosheets with Periodic Quantum Well and Promoting H 2 O 2 Photosynthesis

Ying Hao Xie, Zhenzi Li, Xuepeng Wang, Songhua Cai et al.
5 citations
Small
Advanced Photocatalysis Techniques
1.82
article

Visual Location of Oxygen Vacancies on Bismuth Titanate Nanosheets with Periodic Quantum Well and Promoting H 2 O 2 Photosynthesis

Ying Hao Xie, Zhenzi Li, Xuepeng Wang, Songhua Cai, Wei Zhou, Zhen Zhan, Liping Guo, Yuqing Gao, Mingxia Li
article en
5 citations

Abstract

Oxygen vacancy (OV) defect engineering plays a crucial role in enhancing photocatalytic efficiency. However, the direct visual characterization of oxygen vacancies still remains technically limited. Herein, a bismuth titanate (Bi<sub>4</sub>Ti<sub>3</sub>O<sub>12</sub>, BTO-OV) model photocatalyst containing oxygen vacancies is constructed through density functional theory (DFT) calculations to reveal the influence mechanism of distinctive periodic quantum well and oxygen vacancies on the charge transfer behavior in BTO. Notably, the distribution of oxygen vacancies is directly observed using the low-dose integrated differential phase contrast-scanning transmission electron microscopy (iDPC-STEM), providing visual evidence for the location of these oxygen vacancies in BTO-OV. Furthermore, the theoretical calculation results are verified by characterizing the photoelectric properties and conducting performance tests on the hydrogen peroxide (H<sub>2</sub>O<sub>2</sub>) photosynthesis. Specifically, the oxygen vacancies and distinctive periodic quantum well in BTO-OV accelerate charge separation, leading to a H<sub>2</sub>O<sub>2</sub> photosynthesis efficiency reaching 5278 µm g<sup>-1</sup> h<sup>-1</sup>, which is 5 times that of the original BTO. This work offers theoretical and experimental references for the visual characterization of oxygen vacancies and the improvement of the charge transfer mechanism.

SmallVol. 21(9)
Ministry of Education of the People's Republic of China (CN), Hong Kong Polytechnic University (HK), Qilu University of Technology (CN), Shandong Academy of Sciences (CN), Heilongjiang University (CN)
National Natural Science Foundation of China, Natural Science Foundation of Shandong Province, Shandong Academy of Sciences
Openalex Percentile: Top 17%
Advanced Photocatalysis Techniques
1.82
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