4.2 Article

Fe-species-loaded graphitic carbon nitride with enhanced photocatalytic performance under visible-light irradiation

期刊

JOURNAL OF MOLECULAR CATALYSIS A-CHEMICAL
卷 420, 期 -, 页码 159-166

出版社

ELSEVIER SCIENCE BV
DOI: 10.1016/j.molcata.2016.04.020

关键词

Fe-species; Graphitic carbon nitride (g-C3N4); Nanohybrid; Heterostructure; Photodegradation

资金

  1. National Basic Research Program of China [2012CB933301, 2014CB648300]
  2. Key Project of National High Technology Research of China [2011AA050526]
  3. Ministry of Education of China [IRT1148]
  4. National Synergistic Innovation Center for Advanced Materials (SICAM)
  5. Natural Science Foundation of Jiangsu Province, China [BM2012010]
  6. Priority Academic Program Development of Jiangsu Higher Education Institutions (PAPD) [YX03001]
  7. Natural Science Foundation of Nanjing University of Posts and Telecommunications [NY214181, NY213103]
  8. National Natural Science Foundation of China [51172110, 51372119, 81273409, 61136003, 51173081]

向作者/读者索取更多资源

A novel Fe-species-loaded graphitic carbon nitride (g-C3N4) catalyst was fabricated via a simple thermal treatment method in the presence of poly(vinylpyrrolidone) (PVP). XRD, FT-IR, SEM, TEM, XPS and UV-vis DRS technologies were conducted to characterize the crystallinity, structure, morphology, surface state and optical properties of the samples. The nanohybrid catalyst exhibited significantly enhanced photodegradation activity for methylene blue (MB) under visible light irradiation. Notablely, the maximal photocatalytic efficiency was achieved over the sample that pyrolyzed at 600 degrees C with Fe content of 4%, in which 85.2% of MB was degraded within 2 h. The improvement of the photocatalytic ability may attribute to the enhancement of visible light absorption capacity, response ability, and quantum efficiency. Herein, it has been proved that heterostructured without noble metal merged g-C3N4 may be an excellent photocatalytic material with extended visible light response and enhanced photodegradation ability for pollutant in water. (C) 2016 Elsevier B.V. All rights reserved.

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