Performance verification of different advanced oxidation processes in the degradation of the dye acid violet 17: reactio
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ORIGINAL PAPER
Performance verification of different advanced oxidation processes in the degradation of the dye acid violet 17: reaction kinetics, toxicity and degradation prediction by artificial neural networks Nathália F. S. de Moraes1 · Rayany M. R. Santana1 · Rayssa K. M. Gomes1 · Sérgio G. Santos Júnior1 · Alex L. A. de Lucena1 · Léa E. M. C. Zaidan1 · Daniella C. Napoleão1 Received: 29 May 2020 / Accepted: 13 August 2020 © Institute of Chemistry, Slovak Academy of Sciences 2020
Abstract The contamination of water resources due to the presence of persistent organic pollutants, such as dyes, is a cause for concern, since these substances are resistant to conventional treatments adopted in wastewater treatment plants. In this context, the present work evaluated the degradation of the dye AV17, used in sanitizing industries, through different advanced oxidation processes (AOP). AOP of photoperoxidation, Fenton and photo-Fenton were employed. It was found that the photoperoxidation/UV-C system was more efficient in the treatment of the dye, reaching degradations of 68.27%, 88.16% and 99.35% for the characteristic wavelengths of 254, 307, 548 nm, respectively. The Fenton process and the photo-Fenton/solar system, especially with natural solar irradiation, only managed to promote the discoloration of the solution by degrading the chromophore group. The kinetic study indicated a better adjustment of the experimental data to the pseudo-first order model, with R2 > 0.94 for the mentioned AOP. The modeling by ANN allowed to predict the degradation of AV17 through an MLP 5-6-3 BFGS 297 type network, with R2 values higher than 0.9864 for training, testing and validation. Toxicity tests with Lactuca sativa seeds showed that the treatment via photoperoxidation/UV-C and photo-Fenton/solar led to a reduction in the toxicity of the solution contaminated by the dye. However, for the solution treated by Fenton process, toxicity was observed. Keywords Degradation · Lactuca sativa · Mathematical modeling · Water
Introduction The growing development and expansion of the industrial sector in the last decades are factors that concern the world scientific community regarding environmental issues. If, on the one hand, this growth has promoted an improvement in the quality of life of the population, on the other hand it is responsible for the high production of tailings, especially through the disposal of industrial effluents (Kumar et al. 2019). These effluents are complex matrices, whose composition is rich in persistent organic pollutants (POP), Electronic supplementary material The online version of this article (https://doi.org/10.1007/s11696-020-01325-9) contains supplementary material, which is available to authorized users. * Daniella C. Napoleão [email protected] 1
Universidade Federal de Pernambuco, Recife, PE 50740‑521, Brazil
which are difficult to remove through conventional physical–chemical and biological treatments (Brillas 2020; Ertugay and Acar 2017). Therefore, studies have been carried out to
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