Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/180636
Title: AuPt bimetallic loaded defect state g-C3N4 enhances photocatalytic H2 evolution: exploring synergistic effects and charge transfer mechanisms
Authors: Zhao, Yahao
Liu, Peng
Liu, Wen
Lv, Hui
Peng, Zhuo
Han, Changcun
Tian, Jiayi
Ye, Furong
Cheng, Zhengwang
Huang, Yizhong
Keywords: Engineering
Issue Date: 2025
Source: Zhao, Y., Liu, P., Liu, W., Lv, H., Peng, Z., Han, C., Tian, J., Ye, F., Cheng, Z. & Huang, Y. (2025). AuPt bimetallic loaded defect state g-C3N4 enhances photocatalytic H2 evolution: exploring synergistic effects and charge transfer mechanisms. Separation and Purification Technology, 354, 128884-. https://dx.doi.org/10.1016/j.seppur.2024.128884
Journal: Separation and Purification Technology
Abstract: AuPt alloy nanoparticles (NPs) were prepared using a simple photodeposition method to modify defective state g-C3N4 nanosheets (HCN) which contained N vacancies, B doping, and –C[tbnd]N groups. The visible diffuse reflectance spectra (DRS) indicate that AuPt/HCN exhibits high light absorption capability. The photoluminescence spectrum (PL) and steady-state surface photovoltage (SPV) indicate that AuPt/HCN possesses a high rate of photogenerated charge separation and a high efficiency of photogenerated electron transfer. The electrochemical tests indicate that AuPt/HCN exhibits lower electrochemical impedance. AuPt/HCN (1.0 wt%) exhibits outstanding photocatalytic hydrogen evolution efficiency, producing hydrogen at a rate of 2095 μmol·g−1·h−1 under visible light, which is 2.10 times and 1.55 times higher than that of monometallic Au/HCN (1.0 wt%) (997 μmol·g−1·h−1) and Pt/HCN (1.0 wt%) (1349 μmol·g−1·h−1), respectively. The bimetallic synergistic effect of AuPt alloy NPs co-catalysts enhances the photocatalytic hydrogen evolution activity of AuPt/HCN composite photocatalysts.
URI: https://hdl.handle.net/10356/180636
ISSN: 1383-5866
DOI: 10.1016/j.seppur.2024.128884
Schools: School of Materials Science and Engineering 
Rights: © 2024 Elsevier B.V. All rights are reserved, including those for text and data mining, AI training, and similar technologies.
Fulltext Permission: none
Fulltext Availability: No Fulltext
Appears in Collections:MSE Journal Articles

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