Degradation of the pharmaceuticals nimesulide and ibuprofen using photo-Fenton process: toxicity studies, kinetic modeling and use of artificial neural networks

Detalhes bibliográficos
Autor(a) principal: Monteiro, Rubens Teles
Data de Publicação: 2018
Outros Autores: Santana, Rayany Magali da Rocha, Silva, Ana Maria Ribeiro Bastos da, Lucena, Alex Leandro Andrade de, Zaidan, Léa Elias Mendes Carneiro, Silva, Valdinete Lins da, Napoleão, Daniella Carla
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Revista Eletrônica em Gestão Educação e Tecnologia Ambiental (REGET)
Texto Completo: https://periodicos.ufsm.br/reget/article/view/31563
Resumo: The growth of pollution in aquatic environments increases every day, causing compounds like pharmaceuticas to be detected in surface waters. Thus, tecniques such as advanced oxidation processes (AOP) have been used to degrade this compounds. In this work, the efficiency of AOP in the degradation of nimesulide and ibuprofen pharmaceuticals was evaluated through chromatographic analysis as well as organic matter through the levels of chemical oxygen demand (COD) and total organic carbon (TOC). It was verified that the photo-Fenton process presented the bests results, degrading 89.70% of nimesulide and 93.35% of ibuprofen. This same process managed to reduce COD by 91.60% and mineralize 90.04% of the TOC. The kinetic study showed a good linear fit (R2=0.993) for the clustered kinetic model, as well as a good fit to the mathematical model of artificial neural networks (ANNs), with a value of R2=1.000 for the MLP4-4-1 BFGS 4567 model. Finally, the toxicity of the solution after treatment was verified against the seeds of Lactuta sativa, Cichorium endívia, Ocimum basilicum and American Hard grain. It was found that the seeds that received the solution before treatment had a lower germination amount than the ones where the post AOP treatment solution was added. Then, the root growth was evaluated, in which a relative toxic effect was observed.
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spelling Degradation of the pharmaceuticals nimesulide and ibuprofen using photo-Fenton process: toxicity studies, kinetic modeling and use of artificial neural networksDegradação dos fármacos nimesulida e ibuprofeno empregando processo foto-Fenton: estudos da toxicidade, modelagem cinética e emprego de redes neurais artificiaisIbuprofenNimesulidePhoto-FentonIbuprofenoNimesulidaPhoto-FentonThe growth of pollution in aquatic environments increases every day, causing compounds like pharmaceuticas to be detected in surface waters. Thus, tecniques such as advanced oxidation processes (AOP) have been used to degrade this compounds. In this work, the efficiency of AOP in the degradation of nimesulide and ibuprofen pharmaceuticals was evaluated through chromatographic analysis as well as organic matter through the levels of chemical oxygen demand (COD) and total organic carbon (TOC). It was verified that the photo-Fenton process presented the bests results, degrading 89.70% of nimesulide and 93.35% of ibuprofen. This same process managed to reduce COD by 91.60% and mineralize 90.04% of the TOC. The kinetic study showed a good linear fit (R2=0.993) for the clustered kinetic model, as well as a good fit to the mathematical model of artificial neural networks (ANNs), with a value of R2=1.000 for the MLP4-4-1 BFGS 4567 model. Finally, the toxicity of the solution after treatment was verified against the seeds of Lactuta sativa, Cichorium endívia, Ocimum basilicum and American Hard grain. It was found that the seeds that received the solution before treatment had a lower germination amount than the ones where the post AOP treatment solution was added. Then, the root growth was evaluated, in which a relative toxic effect was observed.O crescimento da poluição de ambientes aquáticos tem aumentado todos os dias, fazendo com que compostos como os fármacos sejam verificados em águas superficiais. Desse modo, técnicas como processos oxidativos avançados (POA) tem sido utilizadas. Neste trabalho a eficiência dos POA na degradação dos fármacos nimesulida e ibuprofeno foi avaliada, através de análises cromatográficas, bem como de matéria orgânica através dos níveis de demanda química de oxigênio (DQO) e carbono orgânico total (COT). Verificou-se que o processo foto-Fenton apresentou os melhores resultados degradando 89,70% do nimesulida e 93,35% do ibuprofeno. Esse mesmo processo conseguiu reduzir em 91,60% a DQO e mineralizar 90,04% do COT. O estudo cinético mostrou bom ajuste linear (R2=0,993) para o modelo cinético agrupado, além de uma boa adequação ao modelo matemático de redes neurais artificiais (RNA), com um valor de R2=1,000 para o modelo MLP4-4-1 BFGS4567. Por fim, verificou-se a toxicidade da solução após tratamento, frente às sementes de Lactuta Sativa, Cichorium endívia, Ocimum basilicum e do grão Americano Hard. Verificou-se que as sementes que receberam a solução antes do tratamento apresentaram uma quantidade menor germinação, do que quando foi adicionada a solução pós-tratamento via POA. Em seguida, avaliou-se o crescimento radicular, no qual foi percebido relativo efeito tóxico.Universidade Federal de Santa Maria2018-08-23info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://periodicos.ufsm.br/reget/article/view/3156310.5902/2236117031563Revista Eletrônica em Gestão, Educação e Tecnologia Ambiental; REGET, V. 22, 2018; e3Revista Eletrônica em Gestão, Educação e Tecnologia Ambiental; REGET, V. 22, 2018; e32236-11702236-1170reponame:Revista Eletrônica em Gestão Educação e Tecnologia Ambiental (REGET)instname:Universidade Federal de Santa Maria (UFSM)instacron:UFSMenghttps://periodicos.ufsm.br/reget/article/view/31563/pdfCopyright (c) 2018 Electronic Journal of Management, Education and Environmental Technology (REGET)http://creativecommons.org/licenses/by-nc-sa/4.0info:eu-repo/semantics/openAccessMonteiro, Rubens TelesSantana, Rayany Magali da RochaSilva, Ana Maria Ribeiro Bastos daLucena, Alex Leandro Andrade deZaidan, Léa Elias Mendes CarneiroSilva, Valdinete Lins daNapoleão, Daniella Carla2022-08-09T14:40:14Zoai:ojs.pkp.sfu.ca:article/31563Revistahttps://periodicos.ufsm.br/regetPUBhttps://periodicos.ufsm.br/reget/oaimarcelobdarosa@gmail.com||reget.ufsm@gmail.com2236-11702236-1170opendoar:2022-08-09T14:40:14Revista Eletrônica em Gestão Educação e Tecnologia Ambiental (REGET) - Universidade Federal de Santa Maria (UFSM)false
dc.title.none.fl_str_mv Degradation of the pharmaceuticals nimesulide and ibuprofen using photo-Fenton process: toxicity studies, kinetic modeling and use of artificial neural networks
Degradação dos fármacos nimesulida e ibuprofeno empregando processo foto-Fenton: estudos da toxicidade, modelagem cinética e emprego de redes neurais artificiais
title Degradation of the pharmaceuticals nimesulide and ibuprofen using photo-Fenton process: toxicity studies, kinetic modeling and use of artificial neural networks
spellingShingle Degradation of the pharmaceuticals nimesulide and ibuprofen using photo-Fenton process: toxicity studies, kinetic modeling and use of artificial neural networks
Monteiro, Rubens Teles
Ibuprofen
Nimesulide
Photo-Fenton
Ibuprofeno
Nimesulida
Photo-Fenton
title_short Degradation of the pharmaceuticals nimesulide and ibuprofen using photo-Fenton process: toxicity studies, kinetic modeling and use of artificial neural networks
title_full Degradation of the pharmaceuticals nimesulide and ibuprofen using photo-Fenton process: toxicity studies, kinetic modeling and use of artificial neural networks
title_fullStr Degradation of the pharmaceuticals nimesulide and ibuprofen using photo-Fenton process: toxicity studies, kinetic modeling and use of artificial neural networks
title_full_unstemmed Degradation of the pharmaceuticals nimesulide and ibuprofen using photo-Fenton process: toxicity studies, kinetic modeling and use of artificial neural networks
title_sort Degradation of the pharmaceuticals nimesulide and ibuprofen using photo-Fenton process: toxicity studies, kinetic modeling and use of artificial neural networks
author Monteiro, Rubens Teles
author_facet Monteiro, Rubens Teles
Santana, Rayany Magali da Rocha
Silva, Ana Maria Ribeiro Bastos da
Lucena, Alex Leandro Andrade de
Zaidan, Léa Elias Mendes Carneiro
Silva, Valdinete Lins da
Napoleão, Daniella Carla
author_role author
author2 Santana, Rayany Magali da Rocha
Silva, Ana Maria Ribeiro Bastos da
Lucena, Alex Leandro Andrade de
Zaidan, Léa Elias Mendes Carneiro
Silva, Valdinete Lins da
Napoleão, Daniella Carla
author2_role author
author
author
author
author
author
dc.contributor.author.fl_str_mv Monteiro, Rubens Teles
Santana, Rayany Magali da Rocha
Silva, Ana Maria Ribeiro Bastos da
Lucena, Alex Leandro Andrade de
Zaidan, Léa Elias Mendes Carneiro
Silva, Valdinete Lins da
Napoleão, Daniella Carla
dc.subject.por.fl_str_mv Ibuprofen
Nimesulide
Photo-Fenton
Ibuprofeno
Nimesulida
Photo-Fenton
topic Ibuprofen
Nimesulide
Photo-Fenton
Ibuprofeno
Nimesulida
Photo-Fenton
description The growth of pollution in aquatic environments increases every day, causing compounds like pharmaceuticas to be detected in surface waters. Thus, tecniques such as advanced oxidation processes (AOP) have been used to degrade this compounds. In this work, the efficiency of AOP in the degradation of nimesulide and ibuprofen pharmaceuticals was evaluated through chromatographic analysis as well as organic matter through the levels of chemical oxygen demand (COD) and total organic carbon (TOC). It was verified that the photo-Fenton process presented the bests results, degrading 89.70% of nimesulide and 93.35% of ibuprofen. This same process managed to reduce COD by 91.60% and mineralize 90.04% of the TOC. The kinetic study showed a good linear fit (R2=0.993) for the clustered kinetic model, as well as a good fit to the mathematical model of artificial neural networks (ANNs), with a value of R2=1.000 for the MLP4-4-1 BFGS 4567 model. Finally, the toxicity of the solution after treatment was verified against the seeds of Lactuta sativa, Cichorium endívia, Ocimum basilicum and American Hard grain. It was found that the seeds that received the solution before treatment had a lower germination amount than the ones where the post AOP treatment solution was added. Then, the root growth was evaluated, in which a relative toxic effect was observed.
publishDate 2018
dc.date.none.fl_str_mv 2018-08-23
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://periodicos.ufsm.br/reget/article/view/31563
10.5902/2236117031563
url https://periodicos.ufsm.br/reget/article/view/31563
identifier_str_mv 10.5902/2236117031563
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv https://periodicos.ufsm.br/reget/article/view/31563/pdf
dc.rights.driver.fl_str_mv Copyright (c) 2018 Electronic Journal of Management, Education and Environmental Technology (REGET)
http://creativecommons.org/licenses/by-nc-sa/4.0
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Copyright (c) 2018 Electronic Journal of Management, Education and Environmental Technology (REGET)
http://creativecommons.org/licenses/by-nc-sa/4.0
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Universidade Federal de Santa Maria
publisher.none.fl_str_mv Universidade Federal de Santa Maria
dc.source.none.fl_str_mv Revista Eletrônica em Gestão, Educação e Tecnologia Ambiental; REGET, V. 22, 2018; e3
Revista Eletrônica em Gestão, Educação e Tecnologia Ambiental; REGET, V. 22, 2018; e3
2236-1170
2236-1170
reponame:Revista Eletrônica em Gestão Educação e Tecnologia Ambiental (REGET)
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instname_str Universidade Federal de Santa Maria (UFSM)
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institution UFSM
reponame_str Revista Eletrônica em Gestão Educação e Tecnologia Ambiental (REGET)
collection Revista Eletrônica em Gestão Educação e Tecnologia Ambiental (REGET)
repository.name.fl_str_mv Revista Eletrônica em Gestão Educação e Tecnologia Ambiental (REGET) - Universidade Federal de Santa Maria (UFSM)
repository.mail.fl_str_mv marcelobdarosa@gmail.com||reget.ufsm@gmail.com
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