Synthesis of TiO2 nanoparticles in different thermal conditions and modeling its photocatalytic activity with artificial neural network
作者： Fatemeh Ghanbary , Nasser Modirshahla , Morteza Khosravi , Mohammad Ali Behnajady
DOI: 10.1016/S1001-0742(11)60815-2
关键词: Scanning electron microscope 、 Nanotechnology 、 Nanoparticle 、 4-Nitrophenol 、 Artificial neural network 、 Photocatalysis 、 Titanium dioxide 、 Catalysis 、 Materials science 、 Chemical engineering 、 Sol-gel
摘要: … to the study of the influence of different thermal conditions on the preparation of TiO2 … shapes and sizes of nanoparticles. We can ascribe this observation to different crystal growth rates. …
elsevier.com
sci-hub.se 参考文章(27)
Baomei Wen, Chunyan Liu, Yun Liu, Optimization of the preparation methods Journal of Photochemistry and Photobiology A: Chemistry. ,vol. 173, pp. 7- 12 ,(2005) , 10.1016/J.JPHOTOCHEM.2004.12.024
P. Calza, V.A. Sakkas, A. Villioti, C. Massolino, V. Boti, E. Pelizzetti, T. Albanis, Multivariate experimental design for the photocatalytic degradation of imipramine. Determination of the reaction pathway and identification of intermediate products Applied Catalysis B-environmental. ,vol. 84, pp. 379- 388 ,(2008) , 10.1016/J.APCATB.2008.04.015
N. Daneshvar, A.R. Khataee, N. Djafarzadeh, The use of artificial neural networks (ANN) for modeling of decolorization of textile dye solution containing C. I. Basic Yellow 28 by electrocoagulation process. Journal of Hazardous Materials. ,vol. 137, pp. 1788- 1795 ,(2006) , 10.1016/J.JHAZMAT.2006.05.042
M MURUGANANDHAM, M SWAMINATHAN, TiO2-UV photocatalytic oxidation of Reactive Yellow 14: effect of operational parameters. Journal of Hazardous Materials. ,vol. 135, pp. 78- 86 ,(2006) , 10.1016/J.JHAZMAT.2005.11.022
Yassine Bessekhouad, Didier Robert, Jean Victor Weber, Synthesis of photocatalytic TiO2 nanoparticles: optimization of the preparation conditions Journal of Photochemistry and Photobiology A-chemistry. ,vol. 157, pp. 47- 53 ,(2003) , 10.1016/S1010-6030(03)00077-7
A.R. Khataee, G. Dehghan, M. Zarei, E. Ebadi, M. Pourhassan, Neural network modeling of biotreatment of triphenylmethane dye solution by a green macroalgae Chemical Engineering Research and Design. ,vol. 89, pp. 172- 178 ,(2011) , 10.1016/J.CHERD.2010.05.009
Chwei-Huann Chiou, Cheng-Ying Wu, Ruey-Shin Juang, Influence of operating parameters on photocatalytic degradation of phenol in UV/TiO2 process Chemical Engineering Journal. ,vol. 139, pp. 322- 329 ,(2008) , 10.1016/J.CEJ.2007.08.002
M.A. Behnajady, N. Modirshahla, N. Daneshvar, M. Rabbani, Photocatalytic degradation of an azo dye in a tubular continuous-flow photoreactor with immobilized TiO2 on glass plates Chemical Engineering Journal. ,vol. 127, pp. 167- 176 ,(2007) , 10.1016/J.CEJ.2006.09.013
A.R. Khataee, O. Mirzajani, UV/peroxydisulfate oxidation of C. I. Basic Blue 3: modeling of key factors by artificial neural network. Desalination. ,vol. 251, pp. 64- 69 ,(2010) , 10.1016/J.DESAL.2009.09.142
V.K Pareek, M.P Brungs, A.A Adesina, Raj Sharma, Artificial neural network modeling of a multiphase photodegradation system Journal of Photochemistry and Photobiology A-chemistry. ,vol. 149, pp. 139- 146 ,(2002) , 10.1016/S1010-6030(01)00640-2