4959
Mohamed Eid Mohamed Ali
Photocatalytic Degradation of Hazardous Organic Pollutants in Industrial Wastewater with Hydrogen Production and their Toxicological Effect
nanostructure mesoporous titania, Remazole Red (F3B), wastewater, olive mill wastewater (OMW), simonkolleite-TiO2 composite, photocatalytic produced hydrogen, apparent quantum yield, degradation of organic pollutants, human hepatocellular carcinoma cell line (HePG2), Toxicity, cell viability, protein content, cell monolayer disruption.
In this study, nanostructure mesoporous titania (TiO2) was prepared using method titanium tetrachloride as precursor. While nitrogen doped titania (N-TiO2) was prepared using titanium tetraisopropoxide as precursor. The prepared photocatalysts were characterized by X-ray diffraction (XRD), diffuse reflectance spectroscopy (DRS), and Raman spectroscopy. Also, surface area and particle size were analyzed using BET equation. Also, the photocatalytic degradation of olive mill wastewater (OMW) and decolorization of Remazole Red (F3B) dye was studied over TiO2 and simonkolleite-TiO2 composite. The influence of catalyst dose and pH value of wastewater on the degradation of OMW and dye was investigated over TiO2 and simonkolleite-TiO2 composite. It was observed that the maximum amount of evolved hydrogen at TiO2dose of 2 g/L for TiO2 and 1.5 g/L for simonkolleite-TiO2 composite and solution pH value of 3 from OMW. On the other hand, chemical oxygen demand (COD) reduced by 82 % and 95 % over TiO2 and simonkolleite-TiO2 composite, respectively. The maximum amount of photocatalytic produced hydrogen from dye was 2.1 mmol and 3.3 mmol within 240 min using TiO2 and simonkolleite-TiO2composite, respectively. The specific production rate of hydrogen from photocatalytic conversion of dye was calculated. Improvement of apparent quantum yield after 4 h was achieved upon addition of simonkolleite to TiO2. This high apparent quantum yield proves that the system proposed in this study could be a hopeful approach toward using sunlight energy as outlook energy source. Based on obtained results, a new process for H2 production from wastewater can be achieved by coupling degradation of organic pollutants with photocatalytic H2 production. The process also provides a method for degradation of organicpollutants with simultaneous H2 production. Three-layer backpropagation neural network (3-18-2) was used for modeling of activity of n-TiO2 photocatalyst for photocatalytic hydrogen production with simultaneous dye removal degradation. The backpropagation neural network was configured to be three-layer ANN with tangent sigmoid transfer function (tansig) at hidden layer with 18 neurons for obtaining the smallest mean square error (MSE). The relationship between predicted results and the experimental results showed high correlation coefficient of 0.989 and MSE of 0.000376. The sensitivity analysis confirmed that the studied variables have strong effect on the process performance. Three-layer ANN could be used successfully for modeling of photocatalytic hydrogen production with simultaneous dye removal degradation.
2015
Ph.d
Mansoura
Science