2020
DOI: 10.1016/j.jwpe.2020.101480
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Continuous treatment of an azo dye based on a combined ZVI/photo-Fenton setup. Process modelling by response surface methodology

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Cited by 13 publications
(8 citation statements)
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“…Artificial neural networks (ANN) have also been used as modeling alternatives together with the genetic algorithm for the optimization of several parameters such as H2O2 dosage, treatment time, and pH among others, allowing a prediction performance and validation of the optimal results through experimental data, confirming the reliability of this approach (Talwar et al 2019). The response surface methodology (RSM) has also had its contribution oriented to provide a simple model capable of quantitatively describing the system performance within the experimental domain studied, through an analysis of influential variables such as inlet pH, outlet pH, the hydraulic retention time (HRT) and the H2O2 dose concerning the response variable of the percentage decolorization of a dye, resulting in a simple polynomial equation capable of predicting color removal in a wide range of experimental conditions, and also showed that the pH of the reactor and the HRT are the key factors that influenced the system response (Donadelli et al 2020).…”
Section: +mentioning
confidence: 99%
“…Artificial neural networks (ANN) have also been used as modeling alternatives together with the genetic algorithm for the optimization of several parameters such as H2O2 dosage, treatment time, and pH among others, allowing a prediction performance and validation of the optimal results through experimental data, confirming the reliability of this approach (Talwar et al 2019). The response surface methodology (RSM) has also had its contribution oriented to provide a simple model capable of quantitatively describing the system performance within the experimental domain studied, through an analysis of influential variables such as inlet pH, outlet pH, the hydraulic retention time (HRT) and the H2O2 dose concerning the response variable of the percentage decolorization of a dye, resulting in a simple polynomial equation capable of predicting color removal in a wide range of experimental conditions, and also showed that the pH of the reactor and the HRT are the key factors that influenced the system response (Donadelli et al 2020).…”
Section: +mentioning
confidence: 99%
“…The 1/m value is directly proportional to the initial color removal rate of the dye. 1/b value; It expresses the maximum oxidation capacity at the end of the reaction ( 15): (15) The linear forms of Behnajady-Modirshahla-Ghanbery models are given in Eq. ( 16) [23,24]: (16)…”
Section: Kineticsmentioning
confidence: 99%
“…ZVI is a strong reducing agent as well as cheap and easy to produce. It has already been known as effective in removing organics as dye [14,15]. In the study of Minella et al, ZVI-Fenton was a suitable technique for the efficient degradation of ibuprofen and phenol under various operating conditions.…”
Section: Introductionmentioning
confidence: 99%
“…An appealing alternative for ZVI-based Fenton processes is splitting them into two individual steps, the first one with ZVI alone, followed by a second (photo)-Fenton step. The main advantages of this strategy could be enhancement of the parent pollutant reactivity by removing the groups that inhibit oxidation steps (i.e., dehalogenation) [17], less H 2 O 2 consumption and possible use in continuous mode, which can certainly facilitate the scaling up of the process [18]. In this regard, few works investigating this approach have been published.…”
Section: Introductionmentioning
confidence: 99%