Optimization of the artificial neuronal network for the degradation and mineralization of amoxicillin photoinduced by the complex ferrioxalate with a gradual and progressive approach of the ligand

Abstract

HAL is a multi-disciplinary open access archive for the deposit and dissemination of scientific research documents, whether they are published or not. The documents may come from teaching and research institutions in France or abroad, or from public or private research centers. L'archive ouverte pluridisciplinaire HAL, est destinée au dépôt et à la diffusion de documents scientifiques de niveau recherche, publiés ou non, émanant des établissements d'enseignement et de recherche français ou étrangers, des laboratoires publics ou privés.

Sunlight Degradation and Mineralization of Food Dye Photoinduced by Homogenous Photo Fenton Fe(III) and Fe(II) /Complex: Surface Response Modeling

“…The photo-Fenton reactions are non-selective reactive oxidizing species-based technologies that enable the oxidation of a wide variety of organic contaminants in the pH ranging from 2 to 4, However, the drawback of the photo-Fenton process consists of the precipitation of ferric oxyhydroxide [6]. The hydroxyl radical is the most often utilized oxidant due to its high reactivity (E°= 2.73 V. In both the homogeneous and heterogeneous phases, POAs exhibit a diversity of oxidation types [7].…”

“…However, in the study of the oxidation of the GS dye with the photo-Fenton homogeneous system, the reaction is done between the complex Fe(III) and a ligand under a sunlight source as follows [6]: Fe 3+ (C2O4) n (3-2n) +hv→Fe 2+ + (n-1) C2O4 2-+C2O4 2-(1)…”

The Utilization and Modeling of Photo‐Fenton Process as a Single Unit in Textile Wastewater Treatment

“…It is widely used in the fields of science and engineering, and most especially in the field of environmental engineering. [30,32,34,[37][38][39] ANN, which is inspired by the human neural system, has been improved as a statistical modeling technique with the intention of ensuring that the skills specific to the human brain, in an attempt to generate new knowledge. [34,35,40,41] This method provides: i) model derivation from existing data without prior design or adjustment, [10,31] ii) simplicity in simulation, estimation and modeling, [30] iii) the interaction of parameters and outputs in three steps, namely training, validation, and testing, [32] iv) an adaptive structure, [33] and v) estimation of performance.…”

“…It is widely used in the fields of science and engineering, and most especially in the field of environmental engineering. [ 30,32,34,37–39 ] ANN, which is inspired by the human neural system, has been improved as a statistical modeling technique with the intention of ensuring that the skills specific to the human brain, in an attempt to generate new knowledge. [ 34,35,40,41 ]…”