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

Authors

DOI:

https://doi.org/10.5902/2236117063909

Keywords:

Photoperoxidation, Fenton process, UV-C radiation, Treatment

Abstract

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.

Author Biographies

Marcos André Soares de Oliveira, Universidade Federal de Pernambuco, Recife, PE

Engenheiro Química pelo Centro Universitário Maurício de Nassau (2017). Atualmente é mestrando em Engenharia Química pela Universidade Federal de Pernambuco (2020).

Naiana Santos da Cruz Santana Neves, Universidade Federal de Pernambuco, Recife, PE

Engenheira Química pela UFPE (2016). Mestre em Engenharia Química pela UFPE (2019). Atualmente, é doutoranda pelo Programa de Pós-Graduação em Engenharia Química da UFPE.

Rayany Magali da Rocha Santana, Universidade Federal de Pernambuco, Recife, PE

Engenheira Química pelo Centro Universitário Maurício de Nassau (2017). Mestrado em Engenharia Química pela UFPE (2020). Atualmente é doutoranda do Programa de Pós-graduação em Engenharia Química da UFPE.

Alex Leandro Andrade de Lucena, Universidade Federal de Pernambuco, Recife, PE

Engenheiro Químico (2015) pela UFRN e Mestre em Engenharia Química (2018) pela UFPE. Atualmente é doutorando pelo Programa de Pós-Graduação em Engenharia Química da UFPE.

Léa Elias Mendes Carneiro Zaidan, Universidade Federal de Pernambuco, Recife, PE

Engenheira Química pela UFPE (2007), Mestre em Engenharia Química pela UFPE (2010) e Doutora em Engenharia Química pela UFPE (2015). Realizou Pós-Doutorado pelo Departamento de Engenharia Química (DEQ/UFPE) (2017).

Vanessa De Oliveira Marques Cavalcanti, Universidade Federal de Pernambuco, Recife, PE

Engenheira Química pela Universidade Federal de Pernambuco (2015). Atualmente é aluna de mestrado em Engenharia Química pela UFPE (2021). 

Gilson Lima da Silva, Universidade Federal de Pernambuco, Recife, PE

Engenheiro Químico pela UFPE (1983), Mestre em Agronomia pela UFRPE (1993) e Doutor em Engenharia Química com ênfase em Engenharia Ambiental, pela UNICAMP (2005). Atualmente, Coordenador do Grupo de Pesquisa GAMA e do Laboratório de Engenharia da Sustentabilidade do Campus Agreste da UFPE.

Daniella Carla Napoleão, Universidade Federal de Pernambuco, Recife, PE

Engenheira Química pela UFPE (2008), Mestre em Engenharia Química pela UFPE (2011) e Doutora em Engenharia Química pela UFPE (2015). Atualmente é professora Adjunta CI do Departamento de Engenharia Química da UFPE.

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Published

2021-04-06

How to Cite

Oliveira, M. A. S. de, Neves, N. S. da C. S., Santana, R. M. da R., Lucena, A. L. A. de, Zaidan, L. E. M. C., Cavalcanti, V. D. O. M., Silva, G. L. da, & Napoleão, D. C. (2021). 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. Revista Eletrônica Em Gestão, Educação E Tecnologia Ambiental, 25, e12. https://doi.org/10.5902/2236117063909

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ENVIRONMENTAL THECNOLOGY

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