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An Efficient Bismuth Tungstate Visible-Light-Driven Photocatalyst for Breaking Down Nitric Oxide
Abstract
This paper reports a photocatalytic removal of 400 ppb level of NO in air under visible light irradiation by utilizing three-dimensional (3D) hierarchical bismuth tungstate (Bi(2)WO(6)) microspheres. A facile microwave-assisted hydrothermal method involving bismuth nitrate and sodium wolframate was developed to synthesize the photocatalyst. The Bi(2)WO(6) samples were characterized by using X-ray diffraction (XRD), Brunauer-Emmett-Teller (BET), transmission electron microscopy (TEM), field emission scanning electron microscopy (FESEM), X-ray photoelectron spectroscopy (XPS), Raman and ultraviolet-visible reflectance (UV-vis) spectroscopy. The relationship between the physicochemical property and the photocatalytic performance of the as prepared samples is discussed. The present work demonstrates that the 3D hierarchical Bi(2)WO(6) microspheres are effective visible-light-driven photocatalytic functional materials for air purification.
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Catalytic nanoarchitectures—The importance of nothing and the unimportance of periodicity
Rolison, D. R. (2003) · Science · doi:10.1126/science.1082332 · Cited by 1,037
Cited by
Zhang, Z., Wang, W., Wang, L., & Sun, S. (2012) · ACS Applied Materials & Interfaces · doi:10.1021/am2017199 · Cited by 459
Dong, F., Guo, S., Wang, H., Li, X., & Wu, Z. (2011) · The Journal of Physical Chemistry C · doi:10.1021/jp111916q · Cited by 401
Metadata
- Authors
- Li, G., Zhang, D., Yu, J. C., & Leung, M. K. H.
- Venue
- Environmental Science & Technology
- Publisher
- American Chemical Society (ACS)
- Published
- 2010-05-11
- Volume
- 44
- Issue
- 11
- Pages
- 4276-4281
- ISSN
- 0013-936X (ISSN-L)
- 1520-5851
- OpenAlex
- W2007949288
- Cited by
- 192
- References
- 1
- FWCI
- 8.30
- Type
- journal article
- Language
- en
- Open access
- closed
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- Li, G., Zhang, D., Yu, J. C., & Leung, M. K. H. (2010). An Efficient Bismuth Tungstate Visible-Light-Driven Photocatalyst for Breaking Down Nitric Oxide. Environmental Science & Technology. https://doi.org/10.1021/es100084a
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Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
