Issue 6, 2016

Preparation of graphene/TiO2 nanotube array photoelectrodes and their photocatalytic activity for the degradation of alachlor

Abstract

Graphene/TiO2 nanotube array (GR/TNA) photoelectrodes were fabricated by combining in situ anodization and an electro-deposition process. Scanning electron microscopy (SEM), X-ray diffraction (XRD), Fourier transform infrared spectroscopy (FTIR), UV-vis diffuse reflectance spectra (DRS), photopotential measurement, electrochemical impedance spectroscopy (EIS) and zeta-potential measurement were employed to characterize the as-prepared samples. The photocatalytic properties of the GR/TNA photoelectrodes were investigated using the degradation of alachlor as a model reaction. The introduction of GR had no obvious effect on the original crystallization of the TNAs, whereas the photoelectric property was significantly improved. The GR/TNA photoelectrodes exhibited higher photocatalytic activity for alachlor degradation than the bare TNA photoelectrodes. The degradation efficiency of alachlor by the GR/TNA photoelectrodes gradually decreased with the increase of initial alachlor concentration, initial pH and distance from illuminant. Some interfering anions (e.g. NO3 and SO42−) could improve the photocatalysis efficiency, whereas Cl exhibited a slight inhibition effect on the alachlor degradation. Additionally, GR/TNA photoelectrodes possessed superb stability for maintaining a high alachlor degradation efficiency at more than 99.5% after 15 times of successive use with 60 min irradiation for each cycle.

Graphical abstract: Preparation of graphene/TiO2 nanotube array photoelectrodes and their photocatalytic activity for the degradation of alachlor

Article information

Article type
Paper
Submitted
16 Jun 2015
Accepted
21 Oct 2015
First published
23 Oct 2015

Catal. Sci. Technol., 2016,6, 1892-1902

Author version available

Preparation of graphene/TiO2 nanotube array photoelectrodes and their photocatalytic activity for the degradation of alachlor

D. Zheng, Y. Xin, D. Ma, X. Wang, J. Wu and M. Gao, Catal. Sci. Technol., 2016, 6, 1892 DOI: 10.1039/C5CY00887E

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