In this study, a correlation of kinetic parameters was established for the decolorization of a methyl orange (MO) azo dye by Fenton oxidation. The experiments were carried out in a batch reactor at room temperature and the operating conditions were optimized using the 2⁴⁻¹ fractional factorial design. Each of the selected factors, i.e. the initial concentration of the MO dye, the catalyst dosage (Fe²⁺), the initial concentration of H₂O₂ and the pH of the solution, were varied on two levels. Regressions equations were constructed by relating the parameters of dye oxidation rate in aqueous phase (the initial rate V_i, the rate constant k and the maximum yield by unit time) to four operating conditions. MO dye decolorization profiles as a function of time were satisfactorily adjusted for the majority of the experiments by second-order kinetics on the Levenberg Marquart algorithm using Minitab 17. The validation of the model equations, carried out by the Analysis of Variance (ANOVA), showed that these equations explain about 98% of the variability of the responses and that these simple linear models should cover 92% of the future responses. It has been shown that there is robust relationship between the dynamic behaviour of this process at the initial time and the maximum yield of decolorization at steady state with dye concentration and hydrogen peroxide.

在这项研究中，建立了动力学参数的相关性，用于通过Fenton氧化使甲基橙（MO）偶氮染料脱色。实验在室温下在间歇反应器中进行，并且使用2 ^4-1分数阶乘设计优化了操作条件。每个选择的因素，即MO染料的初始浓度，催化剂用量（Fe 2 ⁺），H ₂ O ₂的初始浓度和溶液的pH在两个水平上变化。通过将染料在水相中的氧化速率（初始速率V _i，速率常数k和单位时间的最大产量）到四个操作条件。在大多数实验中，使用Minitab 17，通过Levenberg Marquart算法的二阶动力学，可以满意地调整MO染料的脱色曲线作为时间的函数。模型方差的验证由方差分析（ANOVA）进行，结果表明，这些方程式解释了约98％的响应变异性，这些简单的线性模型应涵盖92％的未来响应。已经表明，该过程在初始时间的动态行为与在稳定状态下随着染料浓度和过氧化氢的最大脱色产率之间存在牢固的关系。