In situ construction of sulfated TiO2 nanoparticles with TiOSO4 for enhanced photocatalytic hydrogen production

التفاصيل البيبلوغرافية
العنوان: In situ construction of sulfated TiO2 nanoparticles with TiOSO4 for enhanced photocatalytic hydrogen production
المؤلفون: Ronglan Wu, Chao Yang, Xintai Su, Jide Wang, Xueying Zhao, Fan Yue, Feng Xiao, Lu Wang, Zhiyan Hou, Xueqing Shao
المصدر: Nanoscale. 13:901-911
بيانات النشر: Royal Society of Chemistry (RSC), 2021.
سنة النشر: 2021
مصطلحات موضوعية: Materials science, Hydrogen, chemistry.chemical_element, Oxygen, chemistry.chemical_compound, Chemical engineering, chemistry, Pulmonary surfactant, Photocatalysis, General Materials Science, Quantum efficiency, Sulfate, Photocatalytic water splitting, Hydrogen production
الوصف: Photocatalytic hydrogen production from water is a promising method to obtain clean energy in the future. In this work, the sulfated TiO2 photocatalyst is successfully constructed in situ via a soft-templated method for photocatalytic water splitting to produce hydrogen. The content of sulfate species in TiO2 can be tuned by changing the amount of the surfactant. The photocatalyst with the appropriate content of sulfate ions exhibits an apparent quantum efficiency (AQE) of 3.9% at 365 nm and a high hydrogen production rate of 24.32 mmol h-1 g-1, which is 1.65 times that of commercial TiO2 (P25). The optimized photocatalyst has excellent photocatalytic activity for hydrogen evolution benefitting from the presence of sulfate ions on the surface of TiO2, large surface area and oxygen vacancies, which facilitates the rapid migration of photo-generated electrons to its surface and the improvement of the separation efficiency of photo-generated carriers. This work may inspire the rational design and the development of high-efficiency photocatalysts.
تدمد: 2040-3372
2040-3364
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::32fe47f7cc04e17d035fda9e48fb303c
https://doi.org/10.1039/d0nr06436j
حقوق: CLOSED
رقم الأكسشن: edsair.doi...........32fe47f7cc04e17d035fda9e48fb303c
قاعدة البيانات: OpenAIRE