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Gholamreza Nabiyouni

Gholamreza Nabiyouni

Academic rank: Professor
ORCID: https://orcid.org/0000-0001-8703-9693
Education: PhD.
ScopusId: 6602215199
HIndex:
Faculty: Science
Address: Arak University
Phone:

Research

Title
Preparation and photocatalytic study of CoFe2O4/TiO2/ Au nanocomposites and their applications in organic pollutant degradation and modeling by an artificial neural network (ANN)
Type
JournalPaper
Keywords
Photocatalist, Nanocomposites, artificial neural network CoFe2O4/TiO2 Au
Year
2022
Journal Journal of Materials Science: Materials in Electronics
DOI
Researchers Ali Shabani ، Gholamreza Nabiyouni ، Davoud Ghanbari

Abstract

Due to the increase of environmental pollution by various industries in recent decades, preparing drinking water has become one of the most vital issues for many countries. The organic pollutant, such as different azo dyes, is one of the most important issues. Using photocatalyst materials is considered to be an optimal solution to prevent environmental pollution. In this work, novel ternary catalysts of CoFe2O4/TiO2/Au were synthesized for the photocatalytic reduction of methyl orange (MO) under UV light illumination. The localized surface plasmon resonance (LSPR) property of Au nanoparticles is widely exploited for their photocatalytic activities. In this research, both CoFe2O4 and TiO2 nanoparticles (NPs) were prepared by sol–gel method. Hydrothermal treatment was also used to synthesize the nanocomposite. Au nanoparticles were successfully loaded on the CoFe2O4/TiO2 surface to get CoFe2O4/TiO2/Au magnetic nanocomposites. To characterize the shape of the structure, morphology, purity, and particle size of the nanocomposite, scanning and transmission electron microscopy (SEM and TEM), X-ray diffraction (XRD), X-ray photoelectron spectroscopy (XPS), Zeta potential analysis, dynamic light scattering (DLS), photoluminescence spectroscopy (PL), Brunauer–Emmett–Teller (BET), and Fourier transform infrared (FT-IR) spectroscopy were employed. Alternating gradient field magnetometer (AGFM) studies show the superparamagnetic properties of the CoFe2O4 nanostructures. Finally, we investigated the catalytic performance and recyclability in reducing MO of synthesized nanocomposites by monitoring a UV–visible spectrophotometer. The composite catalysts can then be easily separated from the reaction solution using a magnet bar and ultimately reused. We used artificial neural network (ANN) to remove expensive experimental research and tried solving and predicting the novel phenomena with huge factors. Initially, information about the degradation of MO was gathered by experimental