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Photocatalytic degradation of ciprofloxacin by synthesized TiO2 nanoparticles on montmorillonite: Effect of operation parameters and artificial neural network modeling
被引:187
作者:
Hassani, Aydin
[1
]
Khataee, Alireza
[2
]
Karaca, Semra
[1
]
机构:
[1] Ataturk Univ, Dept Chem, Fac Sci, TR-25240 Erzurum, Turkey
[2] Univ Tabriz, Dept Appl Chem, Res Lab Adv Water & Wastewater Treatment Proc, Fac Chem, Tabriz 5166616471, Iran
关键词:
Ciprofloxacin;
Nanocatalyst;
Pharmaceuticals;
Photocatalysis;
TiO2/MMT nanocomposite;
DOPED ZNO NANOPARTICLES;
VISIBLE-LIGHT;
CONTAMINATED WATER;
RHODAMINE-B;
WASTE-WATER;
TEXTILE DYE;
REMOVAL;
UV;
ADSORPTION;
OXIDATION;
D O I:
10.1016/j.molcata.2015.08.020
中图分类号:
O64 [物理化学(理论化学)、化学物理学];
学科分类号:
070304 ;
081704 ;
摘要:
TiO2/MMT nanocomposite was synthesized and characterized by X-ray diffraction (XRD), fourier transform infrared spectroscopy (FTIR), scanning electron microscopy (SEM), Energy-dispersive Xray spectroscopy (EDX), transmission electron microscopy (TEM), X-ray fluorescence (XRF) and Brunauer-Emmett-Teller (BET) techniques. The average size of TiO2 nanoparticles was decreased from 60-80 nm to 40-60nm through the immobilization on MMT. The main influential factors such as the TiO2/MMT dose, ciprofloxacin (CIP) concentration, pH of the solution, UV light regions, reusability of the catalyst and electrical energy determination were studied. The addition of radical scavengers (e.g. chloride, iodide, sulfate and bicarbonate) and enhancers (e.g. hydrogen peroxide, potassium iodate and peroxydisulfate) on the degradation efficiency was studied. The predicted data from the designed artificial neural network model were found to be in a good agreement with the experimental data (R-2=0.9864). The main intermediates of CIP degradation were determined by GC-Mass spectrometry. (C) 2015 Elsevier B.V. All rights reserved.
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页码:149 / 161
页数:13
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