Tuning Oxygen Vacancies in Ultrathin TiO 2 Nanosheets to Boost Photocatalytic Nitrogen Fixation up to 700 nm
Chinese Academy of Sciences · Technical Institute of Physics and Chemistry · +5 more institutions
Abstract
Abstract Dinitrogen reduction to ammonia using transition metal catalysts is central to both the chemical industry and the Earth's nitrogen cycle. In the Haber–Bosch process, a metallic iron catalyst and high temperatures (400 °C) and pressures (200 atm) are necessary to activate and cleave NN bonds, motivating the search for alternative catalysts that can transform N 2 to NH 3 under far milder reaction conditions. Here, the successful hydrothermal synthesis of ultrathin TiO 2 nanosheets with an abundance of oxygen vacancies and intrinsic compressive strain, achieved through a facile copper‐doping strategy, is reported. These defect‐rich ultrathin anatase nanosheets exhibit remarkable and stable performance…
Citation impact
- FWCI
- 34.43
- Percentile
- 100%
- References
- 47
Authors
8- YZYunxuan Zhao
Chinese Academy of Sciences, Technical Institute of Physics and Chemistry, University of Chinese Academy of Sciences, Beijing University of Chemical Technology
- YZYufei Zhao
Chinese Academy of Sciences, Technical Institute of Physics and Chemistry, University of Chinese Academy of Sciences, Beijing University of Chemical Technology
- RSRun Shi
Chinese Academy of Sciences, Technical Institute of Physics and Chemistry
- BWBin Wang
Sinopec (China), Beijing Chemical Industry Research Institute (China)
- GIGeoffrey I. N. Waterhouse
University of Auckland
Topics & keywords
- Materials science
- Photocatalysis
- Nitrogen
- Oxygen
- Nanotechnology
- Oxygen evolution
- Chemical engineering
- Nitrogen fixation
Funding
- RSRoyal SocietyAward: NA170422
- NNNational Natural Science Foundation of ChinaAwards: U1662118, 51825205, 51572270, 21802154, 51772305, 21871279
- CAChinese Academy of SciencesAwards: XDB17000000, GJHZ1819
- YIYouth Innovation Promotion Association of the Chinese Academy of Sciences
- NSNatural Science Foundation of Beijing MunicipalityAwards: 2194089, 2182078, 2191002