Synthesis and characterization of nitrogen-doped TiO2 nanoparticles prepared by sol–gel method

2012 ◽  
Vol 63 (1) ◽  
pp. 16-22 ◽  
Author(s):  
V. Caratto ◽  
L. Setti ◽  
S. Campodonico ◽  
M. M. Carnasciali ◽  
R. Botter ◽  
...  
2015 ◽  
Vol 647 ◽  
pp. 627-636 ◽  
Author(s):  
C. Leyva-Porras ◽  
A. Toxqui-Teran ◽  
O. Vega-Becerra ◽  
M. Miki-Yoshida ◽  
M. Rojas-Villalobos ◽  
...  

Catalysts ◽  
2020 ◽  
Vol 10 (12) ◽  
pp. 1449
Author(s):  
Zhuoying Jiang ◽  
Sameera Wickramasinghe ◽  
Yu Hsin Tsai ◽  
Anna Cristina S. Samia ◽  
David Gurarie ◽  
...  

Nitrogen-doped TiO2 has a great potential as a photocatalyst under visible light irradiation with applications in the removal of air and water pollutants, and the treatment of bacterial contaminations. In this study, nitrogen-doped TiO2 nanoparticles were synthesized via the sol–gel method and a post-annealing heat treatment approach. The effects of annealing treatment on the photocatalyst crystalline size and degree of crystallinity were analyzed. Methylene blue dye was used as the model water contaminant for the evaluation of the photoactivity of the synthesized nitrogen-doped TiO2 nanoparticles. The degradation of methylene blue was attributed to three mechanisms, i.e., adsorption, photocatalysis, and direct light photolysis. A kinetic model was developed to distinguish the impact of these three different mechanisms on the removal of contaminants. Adsorption and photocatalysis are heterogeneous processes for removing water organic contaminants. The characterization analysis demonstrates that they are relevant to the microstructures and surface chemical compositions of nitrogen-doped TiO2 photocatalysts. The processing–structure–performance relationship helped to determine the optimal processing parameters for nitrogen-doped TiO2 photocatalyst to achieve the best performance. While we used methylene blue as the model contaminant, the generalized quantitative model framework developed in this study can be extended to other types of contaminants after proper calibration.


2011 ◽  
Vol 13 (6) ◽  
pp. 1232-1234 ◽  
Author(s):  
Vaishali Patil ◽  
Arun Patil ◽  
Ji-Won Choi ◽  
Seok-Jin Yoon

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