Response surface modeling for the treatment of methylene blue from aqueous media using electro-Fenton process before determination by UV-VIS spectrometer: Kinetic and degradation mechanism

Sara Zahedi, A. Asadipour, M. Dolatabadi, Saeid Ahmadzadeh
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引用次数: 4

Abstract

In the present study, response surface methodology was employed to investigate the effects of main variables, including the initial MB concentration, hydrogen peroxide dosage, current density, and electrolysis time on the removal efficiency of MB using the electro-Fenton (EF) process. The MB concentration determination by UV-VIS spectrometer. The EF process degrades the MB contaminant molecules by the highly oxidizing species of the •OH. A quadratic regression model was developed to predict the removal of MB, where the R2 value was found to be 0.9970, which indicates the satisfactory accuracy of the proposed model. ANOVA analysis showed a non-significant lack of fit value (0.0840). Moreover, the predicted correlation coefficient values (R2=0.9915) were reasonably in agreement with the adjusted correlation coefficient value (R2=0.9958), demonstrating a highly significant model for MB dye removal. In addition, the obtained results showed 95.8% MB was removed in the optimum removal efficiency, including the initial MB concentration of 20 mg L-1, H2O2 dosage of 400 μL, and the current density of 7.0 mA cm-2, and electrolysis time of 10 min which was agreed with the predicted removal efficiency of 98.3%. Electrical energy consumption was found to be 0.163 kWh m-3.
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紫外-可见光谱仪测定前电fenton法处理水中亚甲基蓝的响应面建模:动力学及降解机理
本研究采用响应面法考察了初始甲基溴浓度、过氧化氢用量、电流密度、电解时间等主要变量对电fenton (EF)法去除甲基溴效率的影响。紫外可见分光光度法测定MB浓度。EF过程通过高氧化性的•OH来降解MB污染物分子。建立了二次回归模型来预测MB的去除,其中R2值为0.9970,表明所提出的模型的精度令人满意。方差分析显示拟合值不显著缺乏(0.0840)。预测相关系数值(R2=0.9915)与校正相关系数值(R2=0.9958)吻合较好,表明该模型对MB染料去除效果显著。结果表明,当初始甲基溴浓度为20 mg L-1、H2O2用量为400 μL、电流密度为7.0 mA cm-2、电解时间为10 min时,甲基溴的最佳去除率为95.8%,与预测值98.3%基本一致。电能消耗为0.163 kWh m-3。
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