Artificial neural network modeling of Cr(VI) photocatalytic reduction with TiO2-P25 nanoparticles using the results obtained from response surface methodology optimization

作者：Sabonian Maryam; Behnajady Mohammad A^*

来源：Desalination and Water Treatment, 2015, 56(11): 2906-2916.

DOI：10.1080/19443994.2014.963161

• Heterogeneous photocatalysis
• Photocatalytic reduction
• Cr(VI)
• Titanium dioxide nanoparticles
• Artificial neural networks
• Response surface methodology

In this study, the nanoparticles of TiO2-P25 in the slurry situation were used for photoreduction of Cr(VI). The experiments were conducted in different operational conditions such as initial concentration of Cr(VI), varying dosages of photocatalyst, and different irradiation times and pHs. Using the response surface methodology, the mathematical equation for estimating the percentage of Cr(VI) photocatalytic removal was obtained. For the first time, the results from this model were utilized for modeling the process by artificial neural networks (ANN). The comparison of the analyzed data obtained from ANN and the experimental data showed that the method was highly efficient in the modeling of process. The relative importance of the parameters affecting the process evaluated by the weights from ANN indicated that pH was the most important factor in photocatalytic reduction of Cr(VI).

• 出版日期2015-12-11