Titanium dioxide immobilization in recycled aluminum net for degradation of textile dye by Heterogeneous Photocatalysis trough neural networks

Detalhes bibliográficos
Autor(a) principal: Santana, Ingrid Larissa da Silva
Data de Publicação: 2019
Outros Autores: Barbosa, Ada Azevedo, Silva, Marina Gomes, Aquino, Ramon Vinicius Santos de, Neves, Naiana Santos da Cruz Santana, Silva, Josivan Pedro da, Ferreira, Isis Henriqueta dos Reis, Rocha, Otidene Rossiter Sa da
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/37718
Resumo: In this work, aluminum net crafted (recycled) were used as TiO2 support for the treatment of textile dye Remazol golden yellow (RGY 150). The immobilization of 200mg of TiO2 was accomplished after aluminum net calcination. The following experiments were carried out in a photocatalytic bench reactor: preliminary tests, a 23 factorial experimental design with best system and the degradation kinetic in systems with TiO2 supported on aluminum net.It was observed characteristic peaks of aluminum and TiO2 (anatase and rutile) by XRD and the catalyst film formation was verified by SEM. The system UV/H2O2/TiO2 performed higher efficiency, with 99% of dye degradation in 50 minutes, followed by the system UV/H2O2/TiO2sp with 93% of dye degradation. Whereas the supported catalyst presents execution advantages and high degradation rates, the factorial design was realized for this system, displaying best degradation (100% degradation in 35 minutes). It was obtained k = 0.114 min-1 and R² = 0.994 in a pseudo-first-order model adjustment system. The use of artificial neural network was proven to be efficient to predict the degradation of a textile dye, with an absolute error of 0.0181. After treatment, there was a decrease of dye toxicity.
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spelling Titanium dioxide immobilization in recycled aluminum net for degradation of textile dye by Heterogeneous Photocatalysis trough neural networksImobilização de dióxido de titânio em malha de alumínio reciclado para a degradação de corante têxtil por Fotocatálise Heterogênea por Redes NeuraisAluminum netAdvanced oxidation processRemazol golden yellowPhotocatalysisPhytotoxicityMalhas de alumínioProcessos oxidativos avançadosRemazol amarelo ouroFotocatálisefitotoxicidadeIn this work, aluminum net crafted (recycled) were used as TiO2 support for the treatment of textile dye Remazol golden yellow (RGY 150). The immobilization of 200mg of TiO2 was accomplished after aluminum net calcination. The following experiments were carried out in a photocatalytic bench reactor: preliminary tests, a 23 factorial experimental design with best system and the degradation kinetic in systems with TiO2 supported on aluminum net.It was observed characteristic peaks of aluminum and TiO2 (anatase and rutile) by XRD and the catalyst film formation was verified by SEM. The system UV/H2O2/TiO2 performed higher efficiency, with 99% of dye degradation in 50 minutes, followed by the system UV/H2O2/TiO2sp with 93% of dye degradation. Whereas the supported catalyst presents execution advantages and high degradation rates, the factorial design was realized for this system, displaying best degradation (100% degradation in 35 minutes). It was obtained k = 0.114 min-1 and R² = 0.994 in a pseudo-first-order model adjustment system. The use of artificial neural network was proven to be efficient to predict the degradation of a textile dye, with an absolute error of 0.0181. After treatment, there was a decrease of dye toxicity.Neste trabalho, redes de alumínio recicladas foram utilizadas como suporte de TiO2 para o tratamento do corante têxtil Remazol amarelo ouro (RGY 150). A imobilização de 100 mg de TiO2 foi realizada após calcinação do material de alumínio. Foram conduzidos em reator de bancada fotocatalítico testes preliminares, um experimento fatorial 23 com o melhor sistema e a cinética de degradação em sistemas com TiO2 suportado em rede de alumínio. Foram observados picos característicos de alumínio e TiO2 (anatase e rutilo) por DRX e a formação do filme catalítico foi verificada porMEV. O sistema UV/H2O2/TiO2 apresentou maior eficiência, com 99% de degradação do corante em 50 minutos, seguido do sistema UV/H2O2/TiO2sp com 93% de degradação do corante. Enquanto o catalisador suportado apresenta vantagens de execução e altas taxas de degradação, o planejamento fatorial foi realizado para este sistema, apresentando melhor degradação (100% de degradação em 35 minutos). Foi obtido k = 0,114 min-1 e R² = 0,994 em um sistema de ajuste de modelos de pseudo-primeira ordem. O uso da rede neural artificial mostrou-se eficiente para predizer a degradação de um corante têxtil, com erro absoluto de 0,0181. Após o tratamento, houve uma diminuição da toxicidade do corante.Universidade Federal de Santa Maria2019-06-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://periodicos.ufsm.br/reget/article/view/3771810.5902/2236117037718Revista Eletrônica em Gestão, Educação e Tecnologia Ambiental; REGET, V. 23, 2019; e27Revista Eletrônica em Gestão, Educação e Tecnologia Ambiental; REGET, V. 23, 2019; e272236-11702236-1170reponame:Revista Eletrônica em Gestão Educação e Tecnologia Ambiental (REGET)instname:Universidade Federal de Santa Maria (UFSM)instacron:UFSMenghttps://periodicos.ufsm.br/reget/article/view/37718/pdfCopyright (c) 2019 Revista Eletrônica em Gestão, Educação e Tecnologia Ambientalhttp://creativecommons.org/licenses/by-nc-sa/4.0info:eu-repo/semantics/openAccessSantana, Ingrid Larissa da SilvaBarbosa, Ada AzevedoSilva, Marina GomesAquino, Ramon Vinicius Santos deNeves, Naiana Santos da Cruz SantanaSilva, Josivan Pedro daFerreira, Isis Henriqueta dos ReisRocha, Otidene Rossiter Sa da2022-08-09T11:52:21Zoai:ojs.pkp.sfu.ca:article/37718Revistahttps://periodicos.ufsm.br/regetPUBhttps://periodicos.ufsm.br/reget/oaimarcelobdarosa@gmail.com||reget.ufsm@gmail.com2236-11702236-1170opendoar:2022-08-09T11:52:21Revista Eletrônica em Gestão Educação e Tecnologia Ambiental (REGET) - Universidade Federal de Santa Maria (UFSM)false
dc.title.none.fl_str_mv Titanium dioxide immobilization in recycled aluminum net for degradation of textile dye by Heterogeneous Photocatalysis trough neural networks
Imobilização de dióxido de titânio em malha de alumínio reciclado para a degradação de corante têxtil por Fotocatálise Heterogênea por Redes Neurais
title Titanium dioxide immobilization in recycled aluminum net for degradation of textile dye by Heterogeneous Photocatalysis trough neural networks
spellingShingle Titanium dioxide immobilization in recycled aluminum net for degradation of textile dye by Heterogeneous Photocatalysis trough neural networks
Santana, Ingrid Larissa da Silva
Aluminum net
Advanced oxidation process
Remazol golden yellow
Photocatalysis
Phytotoxicity
Malhas de alumínio
Processos oxidativos avançados
Remazol amarelo ouro
Fotocatálise
fitotoxicidade
title_short Titanium dioxide immobilization in recycled aluminum net for degradation of textile dye by Heterogeneous Photocatalysis trough neural networks
title_full Titanium dioxide immobilization in recycled aluminum net for degradation of textile dye by Heterogeneous Photocatalysis trough neural networks
title_fullStr Titanium dioxide immobilization in recycled aluminum net for degradation of textile dye by Heterogeneous Photocatalysis trough neural networks
title_full_unstemmed Titanium dioxide immobilization in recycled aluminum net for degradation of textile dye by Heterogeneous Photocatalysis trough neural networks
title_sort Titanium dioxide immobilization in recycled aluminum net for degradation of textile dye by Heterogeneous Photocatalysis trough neural networks
author Santana, Ingrid Larissa da Silva
author_facet Santana, Ingrid Larissa da Silva
Barbosa, Ada Azevedo
Silva, Marina Gomes
Aquino, Ramon Vinicius Santos de
Neves, Naiana Santos da Cruz Santana
Silva, Josivan Pedro da
Ferreira, Isis Henriqueta dos Reis
Rocha, Otidene Rossiter Sa da
author_role author
author2 Barbosa, Ada Azevedo
Silva, Marina Gomes
Aquino, Ramon Vinicius Santos de
Neves, Naiana Santos da Cruz Santana
Silva, Josivan Pedro da
Ferreira, Isis Henriqueta dos Reis
Rocha, Otidene Rossiter Sa da
author2_role author
author
author
author
author
author
author
dc.contributor.author.fl_str_mv Santana, Ingrid Larissa da Silva
Barbosa, Ada Azevedo
Silva, Marina Gomes
Aquino, Ramon Vinicius Santos de
Neves, Naiana Santos da Cruz Santana
Silva, Josivan Pedro da
Ferreira, Isis Henriqueta dos Reis
Rocha, Otidene Rossiter Sa da
dc.subject.por.fl_str_mv Aluminum net
Advanced oxidation process
Remazol golden yellow
Photocatalysis
Phytotoxicity
Malhas de alumínio
Processos oxidativos avançados
Remazol amarelo ouro
Fotocatálise
fitotoxicidade
topic Aluminum net
Advanced oxidation process
Remazol golden yellow
Photocatalysis
Phytotoxicity
Malhas de alumínio
Processos oxidativos avançados
Remazol amarelo ouro
Fotocatálise
fitotoxicidade
description In this work, aluminum net crafted (recycled) were used as TiO2 support for the treatment of textile dye Remazol golden yellow (RGY 150). The immobilization of 200mg of TiO2 was accomplished after aluminum net calcination. The following experiments were carried out in a photocatalytic bench reactor: preliminary tests, a 23 factorial experimental design with best system and the degradation kinetic in systems with TiO2 supported on aluminum net.It was observed characteristic peaks of aluminum and TiO2 (anatase and rutile) by XRD and the catalyst film formation was verified by SEM. The system UV/H2O2/TiO2 performed higher efficiency, with 99% of dye degradation in 50 minutes, followed by the system UV/H2O2/TiO2sp with 93% of dye degradation. Whereas the supported catalyst presents execution advantages and high degradation rates, the factorial design was realized for this system, displaying best degradation (100% degradation in 35 minutes). It was obtained k = 0.114 min-1 and R² = 0.994 in a pseudo-first-order model adjustment system. The use of artificial neural network was proven to be efficient to predict the degradation of a textile dye, with an absolute error of 0.0181. After treatment, there was a decrease of dye toxicity.
publishDate 2019
dc.date.none.fl_str_mv 2019-06-01
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/37718
10.5902/2236117037718
url https://periodicos.ufsm.br/reget/article/view/37718
identifier_str_mv 10.5902/2236117037718
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv https://periodicos.ufsm.br/reget/article/view/37718/pdf
dc.rights.driver.fl_str_mv Copyright (c) 2019 Revista Eletrônica em Gestão, Educação e Tecnologia Ambiental
http://creativecommons.org/licenses/by-nc-sa/4.0
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Copyright (c) 2019 Revista Eletrônica em Gestão, Educação e Tecnologia Ambiental
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. 23, 2019; e27
Revista Eletrônica em Gestão, Educação e Tecnologia Ambiental; REGET, V. 23, 2019; e27
2236-1170
2236-1170
reponame:Revista Eletrônica em Gestão Educação e Tecnologia Ambiental (REGET)
instname:Universidade Federal de Santa Maria (UFSM)
instacron:UFSM
instname_str Universidade Federal de Santa Maria (UFSM)
instacron_str UFSM
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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