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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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