期刊
TURKISH JOURNAL OF CHEMISTRY
卷 40, 期 4, 页码 546-564出版社
Tubitak Scientific & Technological Research Council Turkey
DOI: 10.3906/kim-1507-77
关键词
ZnO/MMT nanocomposite; Disperse Red 54; photocatalytic ozonation; artificial neural network
资金
- TUBITAK
- Ataturk University Scientific Research Project Council [2015/117]
ZnO was immobilized on the montmorillonite (MMT) to synthesize ZnO/MMT nanocomposite. Physicochemical properties of the as-synthesized nanocomposite were determined using X-ray diffraction, scanning electron microscopy, transmission electron microscope, Fourier transform infrared spectroscopy, N-2 adsorption/desorption, and point of zero charge pH (pH,) analysis. The performance of the prepared ZnO/MMT nanocomposite was examined for the photocatalytic ozonation of Disperse Red 54 (DR54) and the highest decolorization efficiency (88.75% after 60 min of reaction time) was the result for the mentioned process compared to adsorption, single ozonation, catalytic ozonation, and photolysis. The influence of various operational parameters including initial dye concentration, catalyst concentration, pH value, inlet gas concentration, and type of irradiation source was investigated on the efficiency of the photocatalytic ozonation removal of DR54. Various inorganic and organic reactive oxygen species (ROS) scavengers were applied to investigate the mechanism of photocatalytic ozonation. In addition, a three-layer perceptron neural network was developed for modeling the relationship between the operational parameters and decolorization efficiency of the dye. High R-2 values were obtained for both the training and test data.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据