Artificial neural network modeling of Cr(VI) photocatalytic reduction with TiO2-P25 nanoparticles using the results obtained from response surface methodology optimization
作者： Maryam Sabonian , Mohammad A. Behnajady
DOI: 10.1080/19443994.2014.963161
关键词:
摘要: In this study, the nanoparticles of TiO2-P25 in slurry situation were used for photoreduction Cr(VI). The experiments conducted different operational conditions such as initial concentration Cr(VI), varying dosages photocatalyst, and irradiation times pHs. Using response surface methodology, mathematical equation estimating percentage Cr(VI) photocatalytic removal was obtained. For first time, results from model utilized modeling process by artificial neural networks (ANN). comparison analyzed data obtained ANN experimental showed that method highly efficient process. relative importance parameters affecting evaluated weights indicated pH most important factor reduction
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A. Niaei, J. Towfighi, A. R. Khataee, K. Rostamizadeh, The Use of ANN and the Mathematical Model for Prediction of the Main Product Yields in the Thermal Cracking of Naphtha Petroleum Science and Technology. ,vol. 25, pp. 967- 982 ,(2007) , 10.1080/10916460500423304
Kavita Kabra, Rubina Chaudhary, Rameshwar L. Sawhney, Treatment of Hazardous Organic and Inorganic Compounds through Aqueous-Phase Photocatalysis: A Review Industrial & Engineering Chemistry Research. ,vol. 43, pp. 7683- 7696 ,(2004) , 10.1021/IE0498551
S Rengaraj, S Venkataraj, Jei-Won Yeon, Younghun Kim, XZ Li, GKH Pang, None, Preparation, characterization and application of Nd–TiO2 photocatalyst for the reduction of Cr(VI) under UV light illumination Applied Catalysis B-environmental. ,vol. 77, pp. 157- 165 ,(2007) , 10.1016/J.APCATB.2007.07.016
M. Kebir, M. Chabani, N. Nasrallah, A. Bensmaili, M. Trari, Coupling adsorption with photocatalysis process for the Cr(VI) removal Desalination. ,vol. 270, pp. 166- 173 ,(2011) , 10.1016/J.DESAL.2010.11.041
A. Aleboyeh, M.B. Kasiri, M.E. Olya, H. Aleboyeh, Prediction of azo dye decolorization by UV/H2O2 using artificial neural networks Dyes and Pigments. ,vol. 77, pp. 288- 294 ,(2008) , 10.1016/J.DYEPIG.2007.05.014
L.B. Khalil, W.E. Mourad, M.W. Rophael, Photocatalytic reduction of environmental pollutant Cr(VI) over some semiconductors under UV/visible light illumination Applied Catalysis B-environmental. ,vol. 17, pp. 267- 273 ,(1998) , 10.1016/S0926-3373(98)00020-4
Nan Wang, Lihua Zhu, Kejian Deng, Yuanbin She, Yanmin Yu, Heqing Tang, Visible light photocatalytic reduction of Cr(VI) on TiO2 in situ modified with small molecular weight organic acids Applied Catalysis B-environmental. ,vol. 95, pp. 400- 407 ,(2010) , 10.1016/J.APCATB.2010.01.019
M. Zarei, A.R. Khataee, R. Ordikhani-Seyedlar, M. Fathinia, Photoelectro-Fenton combined with photocatalytic process for degradation of an azo dye using supported TiO2 nanoparticles and carbon nanotube cathode: Neural network modeling Electrochimica Acta. ,vol. 55, pp. 7259- 7265 ,(2010) , 10.1016/J.ELECTACTA.2010.07.050
Zhongren Yue, Samantha E. Bender, Jinwen Wang, James Economy, Removal of chromium Cr(VI) by low-cost chemically activated carbon materials from water Journal of Hazardous Materials. ,vol. 166, pp. 74- 78 ,(2009) , 10.1016/J.JHAZMAT.2008.10.125
Xavier Domènech, Javier Muñoz, Photochemical elimination of Cr(VI) from neutral–alkaline solutions Journal of Chemical Technology & Biotechnology. ,vol. 47, pp. 101- 107 ,(2007) , 10.1002/JCTB.280470203