scholarly journals Employment of advanced oxidation processes in the degradation of a textile dye mixture: evaluation of reaction parameters, kinetic study, toxicity and modeling by artificial neural networks

2021 ◽  
Vol 25 ◽  
pp. e12
Author(s):  
Marcos André Soares de Oliveira ◽  
Naiana Santos da Cruz Santana Neves ◽  
Rayany Magali da Rocha Santana ◽  
Alex Leandro Andrade de Lucena ◽  
Léa Elias Mendes Carneiro Zaidan ◽  
...  
Keyword(s):  
Neural Networks ◽  
Artificial Neural Networks ◽  
Water Resources ◽  
Organic Contaminants ◽  
Textile Industry ◽  
Advanced Oxidation Processes ◽  
Advanced Oxidation ◽  
Textile Dye ◽  
Oxidation Processes ◽  
Artificial Neural

Organic contaminants in industrial effluents threaten the quality of water resources, especially due to their resistance to natural degradation. The textile industry gain relevance, considering that it generates large volumes. This work aimed to evaluate the efficiency of different advanced oxidation processes (AOP) for the degradation of the mixture textile dyes in solution. After optimization of the main parameters involved in the applied processes and systems, the AOP with greater efficiency in the degradation of the compounds was the photo-Fenton/UV-C (92%) after 360 min of treatment. The experimental data showed a better fit to the Chan and Chu kinetic model and trough an evaluation using artificial neural networks it was possible to predict the maximum degradation achievable by the dye mixture. The toxicity assays, using multiple species of seeds indicated a treated solution with no toxic effects and that the applied methodology can be used without affecting the water resources.

scholarly journals IMPLEMENTING ARTIFICIAL NEURAL NETWORKS MODELLING AFTER THE TREATMENT OF OIL REFINERY EFFLUENTS USING ADVANCED OXIDATION PROCESSES

2016 ◽  
Vol 10 (1) ◽  
pp. 23-32 ◽  
Author(s):  
S. C. G. Moraes ◽  
L. E. M. C. Zaidan ◽  
D. C. Napoleão ◽  
F. O. Carvalho ◽  
M. C. B. Montenegro ◽  
...  
Keyword(s):  
Neural Networks ◽  
Artificial Neural Networks ◽  
Advanced Oxidation Processes ◽  
Advanced Oxidation ◽  
Oil Refinery ◽  
Oxidation Processes ◽  
Artificial Neural

Kinetic study and modelling of cephalexin removal from aqueous solution by advanced oxidation processes through artificial neural networks

2017 ◽  
Vol 92 ◽  
pp. 72-79 ◽  
Author(s):  
Otidene R.S. da Rocha ◽  
Renato F. Dantas ◽  
Welenilton José do Nascimento Júnior ◽  
Yuji Fujiwara ◽  
Marta Maria Menezes Bezerra Duarte ◽  
...  
Keyword(s):  
Neural Networks ◽  
Aqueous Solution ◽  
Artificial Neural Networks ◽  
Kinetic Study ◽  
Advanced Oxidation Processes ◽  
Advanced Oxidation ◽  
Oxidation Processes ◽  
Artificial Neural

Nonlinear Modeling for the Degradation of Aqueous Azo Dyes by Combined Advanced Oxidation Processes Using Artificial Neural Networks

2011 ◽  
Vol 6 (1) ◽  
Author(s):  
Masroor Mohajerani ◽  
Mehrab Mehrvar ◽  
Farhad Ein-Mozaffari
Keyword(s):  
Neural Networks ◽  
Artificial Neural Networks ◽  
Azo Dyes ◽  
Advanced Oxidation Processes ◽  
Removal Rate ◽  
Advanced Oxidation ◽  
Ultrasonic Power ◽  
Oxidation Processes ◽  
Degradation Rates ◽  
Artificial Neural

One-hidden-layer artificial neural networks (ANNs) using a back-propagation structure have been trained on different sets of experimental data to identify and evaluate the degradation of different azo dyes (Reactive Yellow 84, Reactive Blue 19, Direct Red 23, Direct Red 28, and Acid Blue 193) by photo-Fenton process and combined ozonation and ultrasonolysis processes. Different input variables such as pH, initial concentrations of dyes and ozone, reaction time, ultrasonic power density, and initial concentrations of hydrogen peroxide and ferrous in aqueous solution were employed to model the degradation rates of azo dyes based on the decolorization efficiency and the removal rate using chemical oxygen demand (COD) and total organic carbon (TOC). A new model expression is developed to find the effect of individual parameters and their interactions on the efficiency of organic degradation by advanced oxidation processes.

scholarly journals Evaluation of the degradation potential of different advanced oxidation processes for a textile dye mixture: a kinetic study with mathematical modeling and toxicological tests

2020 ◽  
Vol 42 ◽  
pp. e7
Author(s):  
Joanna Cysneiros Silva ◽  
Rayany Magali da Rocha Santana ◽  
Graziele Elisandra do Nascimento ◽  
Alex Leandro Andrade de Lucena ◽  
Ana Maria Ribeiro Bastos da Silva ◽  
...  
Keyword(s):  
Advanced Oxidation Processes ◽  
Treatment Process ◽  
Wastewater Treatment Plants ◽  
Advanced Oxidation ◽  
Textile Dye ◽  
Rapid Decay ◽  
Oxidation Processes ◽  
First Order ◽  
Heterogeneous Processes ◽  
Brazilian Northeast

Studies and research have been developed around the world on environmental pollution. Among the most diverse types of pollutants, textile dyes have attracted attention in the Brazilian Northeast. These compounds, besides being persistent, resist to the conventional treatments applied in the wastewater treatment plants. Thus, the present study evaluated the degradation of the mixture of direct red 23, direct red 227 and direct orange 26 dyes by advanced oxidation processes (AOPs). It was observed that the homogeneous AOPs were more efficient, being able to degrade 100% of the chromophoric groups after the optimization of the variables [H2O2], [Fe] and pH. The reaction kinetics for the photo-Fenton process followed a pseudo-first order non-linear model, with rapid decay of the concentrations in the first 60 min. Aiming to have a methodology capable of predicting the degradation efficiency for the studied processes, it was verified that the artificial neural networks MLP 4-9-3 and MLP 5-6-3 well represent the data from the homogeneous and heterogeneous processes, respectively. A toxicity study was carried out using seeds, bacteria and microcrustaceans and it was found that the intermediate compounds formed during the treatment process act differently for each of them.

High Energy Electron Beam Irradiation: An Advanced Oxidation Process for the Treatment of Aqueous Based Organic Hazardous Wastes

1992 ◽  
Vol 27 (1) ◽  
pp. 69-96 ◽  
Author(s):  
William J. Cooper ◽  
Michael G. Nickelsen ◽  
David E. Meacham ◽  
Thomas D. Waite ◽  
Charles N. Kurucz
Keyword(s):  
Electron Beam ◽  
Organic Contaminants ◽  
Advanced Oxidation Processes ◽  
Advanced Oxidation Process ◽  
Advanced Oxidation ◽  
High Energy ◽  
Transient Species ◽  
Hydrogen Atoms ◽  
Simultaneous Formation ◽  
Oxidation Processes

Abstract Advanced oxidation processes for the removal and destruction of hazardous organic chemicals in water and wastewater is a research area of increasing interest. Advanced oxidation processes generally consider the hydroxyl radical, OH-, the major reactive transient species. A novel process under development, utilizing high energy electrons, extends this concept to include the simultaneous formation of approximately equal concentrations of oxidizing and reducing species. Irradiation of aqueous solutions results in the formation of the aqueous electron, e−aq, hydrogen atoms, H-, and OH-. These reactive transient species initiate chemical reactions capable of destroying organic compounds in aqueous solution. This paper presents data on the removal of six common organic contaminants that have been studied at the Electron Beam Research Facility. The removal and the factors affecting removal were determined. This study focuses on halogenated ethenes, benzene and substituted benzenes. Removal is described in waters of different quality, including potable water, and raw and secondary wastewater. Removal efficiencies ranged from 85 to >99% and varied with water quality, solute concentration, dose and compound.

Sign in / Sign up

Export Citation Format

Share Document