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A Hyper-cross-linked Polynaphthalene Semiconductor with Excellent Visible-Light Photocatalytic Performance in the Degradation of Organic Dyes.
Zhang, Lei; Huang, Xin-Hua; Hu, Jin-Song; Song, Jian; Kim, Il.
Afiliación
  • Zhang L; School of Materials Science and Engineering, Anhui University of Science and Technology , Huainan, Anhui 232001, People's Republic of China.
  • Huang XH; School of Materials Science and Engineering, Anhui University of Science and Technology , Huainan, Anhui 232001, People's Republic of China.
  • Hu JS; School of Materials Science and Engineering, Anhui University of Science and Technology , Huainan, Anhui 232001, People's Republic of China.
  • Song J; School of Materials Science and Engineering, Anhui University of Science and Technology , Huainan, Anhui 232001, People's Republic of China.
  • Kim I; BK21 PLUS Centre for Advanced Chemical Technology, Department of Polymer Science and Engineering, Pusan National University , Pusan 609-735, Korea.
Langmuir ; 33(8): 1867-1871, 2017 02 28.
Article en En | MEDLINE | ID: mdl-28178785
Hyper-cross-linked polynaphthalene nanoparticles (PNNs) capable of catalyzing the degradation of organic pollutants upon exposure to visible light have been developed. The nascent and metal-free PNNs with a porous structure, high specific surface area, and narrow bandgap are chemically and thermally stable in the catalytic system, which make it promising as a kind of excellent photocatalytic material compared to conventional photocatalysts. The photocatalytic activity of the as-obtained PNNs exhibits remarkable photocatalytic performance for the degradation of rhodamine B (RhB) and methyl blue (MB) under the irradiation of visible light. The easy preparation, high catalytic activity, and recyclability of the PNNs open new opportunities in the visible-light-promoted degradation of organic pollutants.

Texto completo: 1 Bases de datos: MEDLINE Idioma: En Revista: Langmuir Asunto de la revista: QUIMICA Año: 2017 Tipo del documento: Article

Texto completo: 1 Bases de datos: MEDLINE Idioma: En Revista: Langmuir Asunto de la revista: QUIMICA Año: 2017 Tipo del documento: Article