Phenazopyridine degradation by electro-Fenton process with magnetite nanoparticles-activated carbon cathode, artificial neural networks modeling

扫描电子显微镜 活性炭 循环伏安法 傅里叶变换红外光谱 阳极 电极 阴极 碳纤维 化学工程 磁铁矿 化学 核化学 降级(电信) 材料科学 电化学 冶金 有机化学 复合材料 吸附 物理化学 电信 复合数 计算机科学 工程类
作者
Amir Mohammad Gholizadeh,Mahmoud Zarei,Masoud Ebratkhahan,Aliyeh Hasanzadeh
出处
期刊:Journal of environmental chemical engineering [Elsevier BV]
卷期号:9 (1): 104999-104999 被引量:53
标识
DOI:10.1016/j.jece.2020.104999
摘要

Abstract In this research, magnetite nanoparticles-activated carbon (MNP-AC) electrode was used as cathode through the electro-Fenton (EF) process to degrade Phenazopyridine (PhP). Graphite was used as anode and the reaction time was 120 min. The effects of main variables, including the applied current, initial pharmaceutical concentration, pH and magnetite nanoparticles (MNP) used as catalyst were investigated. PhP degradation efficiency observed for this method was 98.21% under optimum conditions (applied current = 0.2 A, [PhP]0 = 30 mg/L, pH = 3 and surface ratio of MNP/AC electrode 1:1). Scanning electron microscopy (SEM), Energy Dispersive X-Ray (EDX), X-ray diffraction (XRD) and Fourier-transform infrared spectroscopy (FT-IR) were performed for analyzing the structure of the electrodes. Oxygen reduction activity of the electrodes was examined by cyclic voltammetry (CV). Total organic carbon (TOC) was performed to investigate the PhP removal efficiency during the reaction time and Gas chromatography–mass spectrometry (GC–MS) were performed to analyze degradation by-products of PhP. In the presence of ethanol, the degradation efficiency of PhP was decreased to 54.34%. The PhP degradation efficiency was decreased about 6.93% after eight repeated runs. Based on the results, it was found this method can remove PhP from polluted water. To predict the performance of the degradation efficiency, artificial neural networks (ANN) model was established based on the experimental data.
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