(371b) Visible Light Photocatalytic Degradation of Organic Pollutant Using N Doped TiO2 nanoparticles Synthesized By One Step Liquid Flame Aerosol Method (LFSP) | AIChE

(371b) Visible Light Photocatalytic Degradation of Organic Pollutant Using N Doped TiO2 nanoparticles Synthesized By One Step Liquid Flame Aerosol Method (LFSP)

Authors 

Inturi, S. N. R. - Presenter, University of Cincinnati
Boningari, T., University of Cincinnati
Suidan, M., American university of beirut
Smirniotis, P., University of Cincinnati
Currently, there is a growing interest in the synthesis of nanomaterials. Nitrogen doped titanium dioxide is attracting a continuously increasing attention because of its potential as material for environmental photocatalysis. Conventional wet synthesis methods need multiple processing steps, high energy input and long processing times, In contrast, flame synthesis, especially liquid flame spray pyrolysis (LFSP), is a versatile one-step process for synthesizing a variety of anion doped nanoparticles. In the present work, we have developed a novel, inexpensive, green and highly reproducible method of the making the liquid precursor for the N incorporation in TiO2 by using the rapid LFSP method. A combination of various physico-chemical characterizations were performed. The photocatalytic activity and stability of the N-doped TiO2 samples were evaluated through using the decomposition of acetaldehyde as model reaction under visible light irradiation. Characterization results show that the nitrogen dopants have a significant effect on the crystallite size and optical absorption of TiO2. It is found that the N-doped TiO2 catalysts have enhanced absorption in the visible light region, and exhibit higher activity for photocatalytic degradation of VOCs. We have produced The UV-vis spectroscopy results of N incorporated TiO2 showed enhancement of light absorption in the visible range by selected composite materials in the UV range (250-400 nm). We have found the Ti/N ratio of 13% for the materials synthesized from our XPS data. These interesting results will be discussed in the presentation.

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