Titanium dioxide immobilization in recycled aluminum net for degradation of textile dye by Heterogeneous Photocatalysis trough neural networks
Autor(a) principal: | |
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Data de Publicação: | 2019 |
Outros Autores: | , , , , , , |
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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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 |
_version_ |
1799950577425186816 |