Adsorção de Prednisona em carvões ativados – modelagem matemática

Detalhes bibliográficos
Autor(a) principal: Zanette, Jessica Caroline
Data de Publicação: 2018
Tipo de documento: Dissertação
Idioma: por
Título da fonte: Biblioteca Digital de Teses e Dissertações do UNIOESTE
Texto Completo: http://tede.unioeste.br/handle/tede/4868
Resumo: The contamination of water resources by pharmaceuticals has been generating concern and encouraging research and improvement of treatment techniques. The objective of the work was to verify the efficiency of removal of Prednisone using two adsorbents: Mineral Activated Carbon (CAM) and Vegetal Activated Carbon (CAV) and perform the mathematical modeling of the adsorption process in column for the most efficient adsorbent. In order to verify the influence of adsorbent dose, drug concentration and pH on the adsorption process, an experimental planning (DCCR) was performed, the surface of the CAM and CAV were characterized (pHPCZ, BET and FTIR) and the kinetics and adsorption isotherms were performed in batch. For the most efficient adsorbent, the breakthrough curves were obtained in a continuous system by evaluating the effect of the variation of the operating flow and the initial concentration of the drug in the adsorption process. With DCCR it was verified that the CAM is more efficient in the removal of prednisone than the CAV and the variable that most influences the adsorption of prednisone in the adsorbents was the dose of adsorbent, being the pH significant only for the CAV at pH<4 or pH> 10. In the batch adsorption kinetics the values of qeq obtained were 22.44 mg g-1 and 9.79 mg g-1 for CAM (t: 3h) and CAV (t: 4h), respectively, and the pseudo-first order model represented the process better. The Isoterm models that best represented the batch data were the Freundlich model and the Langmuir model, for the CAM and CAV (qmax 18.04 mg g -1), respectively. The rupture curves obtained for the CAM in the continuous system indicated the flow of 1.1 mL min-1 as the best operating flow. The Langmuir Isotherm model presented the best fit to the data (qmax 109.27 mg g -1) and the modeling of the process showed that the step that controls the adsorption of prednisone in CAM is the intraparticle diffusion of adsorbent, presenting R² greater than 0.995.
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spelling Veit, Márcia Teresinhahttp://lattes.cnpq.br/4263720213605827Gonçalves, Gilberto da Cunhahttp://lattes.cnpq.br/8988742888350949Veit, Márcia Teresinhahttp://lattes.cnpq.br/4263720213605827Leite, Oldair Donizetihttp://lattes.cnpq.br/8436215509083608Palácio, Soraya Morenohttp://lattes.cnpq.br/2736978887761159http://lattes.cnpq.br/3683021448381856Zanette, Jessica Caroline2020-07-31T19:08:52Z2018-03-28ZANETTE, Jessica Caroline. Adsorção de Prednisona em carvões ativados – modelagem matemática. 2018. 113 f. Dissertação (Mestrado em Engenharia Química) - Universidade Estadual do Oeste do Paraná, Toledo, 2018.http://tede.unioeste.br/handle/tede/4868The contamination of water resources by pharmaceuticals has been generating concern and encouraging research and improvement of treatment techniques. The objective of the work was to verify the efficiency of removal of Prednisone using two adsorbents: Mineral Activated Carbon (CAM) and Vegetal Activated Carbon (CAV) and perform the mathematical modeling of the adsorption process in column for the most efficient adsorbent. In order to verify the influence of adsorbent dose, drug concentration and pH on the adsorption process, an experimental planning (DCCR) was performed, the surface of the CAM and CAV were characterized (pHPCZ, BET and FTIR) and the kinetics and adsorption isotherms were performed in batch. For the most efficient adsorbent, the breakthrough curves were obtained in a continuous system by evaluating the effect of the variation of the operating flow and the initial concentration of the drug in the adsorption process. With DCCR it was verified that the CAM is more efficient in the removal of prednisone than the CAV and the variable that most influences the adsorption of prednisone in the adsorbents was the dose of adsorbent, being the pH significant only for the CAV at pH<4 or pH> 10. In the batch adsorption kinetics the values of qeq obtained were 22.44 mg g-1 and 9.79 mg g-1 for CAM (t: 3h) and CAV (t: 4h), respectively, and the pseudo-first order model represented the process better. The Isoterm models that best represented the batch data were the Freundlich model and the Langmuir model, for the CAM and CAV (qmax 18.04 mg g -1), respectively. The rupture curves obtained for the CAM in the continuous system indicated the flow of 1.1 mL min-1 as the best operating flow. The Langmuir Isotherm model presented the best fit to the data (qmax 109.27 mg g -1) and the modeling of the process showed that the step that controls the adsorption of prednisone in CAM is the intraparticle diffusion of adsorbent, presenting R² greater than 0.995.A contaminação dos recursos hídricos por fármacos vem gerando preocupação e incentivando a pesquisa e o aprimoramento de técnicas de tratamento. O objetivo do trabalho verificar a eficiência de remoção de Prednisona utilizando dois adsorventes: carvão ativado mineral (CAM) e vegetal (CAV) e realizar a modelagem matemática do processo de adsorção em coluna para o adsorvente mais eficiente. Para isso realizou-se um planejamento experimental (DCCR) para verificar a influência das variáveis dose de adsorvente, concentração de fármaco e pH no processo de adsorção, a superfície do CAM e CAV foram caracterizadas (pHPCZ, BET e FTIR) e obteve-se as cinéticas e isotermas de adsorção em batelada. Para o adsorvente mais eficiente, obteve-se as curvas de ruptura em sistema contínuo avaliando o efeito da variação da vazão de operação e a concentração inicial de fármaco no processo de adsorção. Com o DCCR verificou-se que o CAM é mais eficiente na remoção de prednisona do que o CAV sendo a variável que mais influencia a adsorção de prednisona nos adsorventes foi a dose de adsorvente, sendo o pH significativo apenas para o CAV em pH<4,5 ou pH>10. Na cinética de adsorção em batelada obteve-se valores de qeq de 22,44 mg g-1 e 9,79 mg g-1 para o CAM (t: 3h) e CAV (t: 4h), respectivamente e o modelo de pseudo-primeira ordem representou melhor o processo. Os modelos de Isoterma que melhor representaram os dados em batelada foram o modelo de Freundlich e o modelo de Langmuir, para o CAM e CAV (qmáx 18,04 mg g-1), respectivamente. As curvas de ruptura obtidas para o CAM no sistema contínuo apontaram a vazão de 1,1 mL min-1 como a melhor vazão de operação, o modelo de Isoterma de Langmuir apresentou o melhor ajuste aos dados (qmáx 109,27 mg g-1) e a modelagem do processo mostrou que a etapa que controla a adsorção de prednisona em CAM é a difusão intrapartícula de adsorvente, apresentando R² maiores que 0,995.Submitted by Marilene Donadel (marilene.donadel@unioeste.br) on 2020-07-31T19:08:52Z No. of bitstreams: 1 Jessica_Zanette_2018.pdf: 2391790 bytes, checksum: 82b8ad84c41f0b343e70a2fa8c0e87c1 (MD5)Made available in DSpace on 2020-07-31T19:08:52Z (GMT). No. of bitstreams: 1 Jessica_Zanette_2018.pdf: 2391790 bytes, checksum: 82b8ad84c41f0b343e70a2fa8c0e87c1 (MD5) Previous issue date: 2018-03-28Coordenação de Aperfeiçoamento de Pessoal de Nível Superior - CAPESapplication/pdfpor-2624803687637593200500Universidade Estadual do Oeste do ParanáToledoPrograma de Pós-Graduação em Engenharia QuímicaUNIOESTEBrasilCentro de Engenharias e Ciências ExatasFármacosContaminaçãoMeio-ambientePharmaceutical,Contamination,Environment.ENGENHARIAS::ENGENHARIA QUIMICAAdsorção de Prednisona em carvões ativados – modelagem matemáticaAdsorption of Prednisone on activated carbon - mathematical modelinginfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesis1582274381427649589600600600600-7734402124082146922-18486402610968708782075167498588264571info:eu-repo/semantics/openAccessreponame:Biblioteca Digital de Teses e Dissertações do UNIOESTEinstname:Universidade Estadual do Oeste do Paraná (UNIOESTE)instacron:UNIOESTEORIGINALJessica_Zanette_2018.pdfJessica_Zanette_2018.pdfapplication/pdf2391790http://tede.unioeste.br:8080/tede/bitstream/tede/4868/2/Jessica_Zanette_2018.pdf82b8ad84c41f0b343e70a2fa8c0e87c1MD52LICENSElicense.txtlicense.txttext/plain; charset=utf-82165http://tede.unioeste.br:8080/tede/bitstream/tede/4868/1/license.txtbd3efa91386c1718a7f26a329fdcb468MD51tede/48682020-07-31 16:08:52.406oai:tede.unioeste.br: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Biblioteca Digital de Teses e Dissertaçõeshttp://tede.unioeste.br/PUBhttp://tede.unioeste.br/oai/requestbiblioteca.repositorio@unioeste.bropendoar:2020-07-31T19:08:52Biblioteca Digital de Teses e Dissertações do UNIOESTE - Universidade Estadual do Oeste do Paraná (UNIOESTE)false
dc.title.por.fl_str_mv Adsorção de Prednisona em carvões ativados – modelagem matemática
dc.title.alternative.eng.fl_str_mv Adsorption of Prednisone on activated carbon - mathematical modeling
title Adsorção de Prednisona em carvões ativados – modelagem matemática
spellingShingle Adsorção de Prednisona em carvões ativados – modelagem matemática
Zanette, Jessica Caroline
Fármacos
Contaminação
Meio-ambiente
Pharmaceutical,
Contamination,
Environment.
ENGENHARIAS::ENGENHARIA QUIMICA
title_short Adsorção de Prednisona em carvões ativados – modelagem matemática
title_full Adsorção de Prednisona em carvões ativados – modelagem matemática
title_fullStr Adsorção de Prednisona em carvões ativados – modelagem matemática
title_full_unstemmed Adsorção de Prednisona em carvões ativados – modelagem matemática
title_sort Adsorção de Prednisona em carvões ativados – modelagem matemática
author Zanette, Jessica Caroline
author_facet Zanette, Jessica Caroline
author_role author
dc.contributor.advisor1.fl_str_mv Veit, Márcia Teresinha
dc.contributor.advisor1Lattes.fl_str_mv http://lattes.cnpq.br/4263720213605827
dc.contributor.advisor-co1.fl_str_mv Gonçalves, Gilberto da Cunha
dc.contributor.advisor-co1Lattes.fl_str_mv http://lattes.cnpq.br/8988742888350949
dc.contributor.referee1.fl_str_mv Veit, Márcia Teresinha
dc.contributor.referee1Lattes.fl_str_mv http://lattes.cnpq.br/4263720213605827
dc.contributor.referee2.fl_str_mv Leite, Oldair Donizeti
dc.contributor.referee2Lattes.fl_str_mv http://lattes.cnpq.br/8436215509083608
dc.contributor.referee3.fl_str_mv Palácio, Soraya Moreno
dc.contributor.referee3Lattes.fl_str_mv http://lattes.cnpq.br/2736978887761159
dc.contributor.authorLattes.fl_str_mv http://lattes.cnpq.br/3683021448381856
dc.contributor.author.fl_str_mv Zanette, Jessica Caroline
contributor_str_mv Veit, Márcia Teresinha
Gonçalves, Gilberto da Cunha
Veit, Márcia Teresinha
Leite, Oldair Donizeti
Palácio, Soraya Moreno
dc.subject.por.fl_str_mv Fármacos
Contaminação
Meio-ambiente
topic Fármacos
Contaminação
Meio-ambiente
Pharmaceutical,
Contamination,
Environment.
ENGENHARIAS::ENGENHARIA QUIMICA
dc.subject.eng.fl_str_mv Pharmaceutical,
Contamination,
Environment.
dc.subject.cnpq.fl_str_mv ENGENHARIAS::ENGENHARIA QUIMICA
description The contamination of water resources by pharmaceuticals has been generating concern and encouraging research and improvement of treatment techniques. The objective of the work was to verify the efficiency of removal of Prednisone using two adsorbents: Mineral Activated Carbon (CAM) and Vegetal Activated Carbon (CAV) and perform the mathematical modeling of the adsorption process in column for the most efficient adsorbent. In order to verify the influence of adsorbent dose, drug concentration and pH on the adsorption process, an experimental planning (DCCR) was performed, the surface of the CAM and CAV were characterized (pHPCZ, BET and FTIR) and the kinetics and adsorption isotherms were performed in batch. For the most efficient adsorbent, the breakthrough curves were obtained in a continuous system by evaluating the effect of the variation of the operating flow and the initial concentration of the drug in the adsorption process. With DCCR it was verified that the CAM is more efficient in the removal of prednisone than the CAV and the variable that most influences the adsorption of prednisone in the adsorbents was the dose of adsorbent, being the pH significant only for the CAV at pH<4 or pH> 10. In the batch adsorption kinetics the values of qeq obtained were 22.44 mg g-1 and 9.79 mg g-1 for CAM (t: 3h) and CAV (t: 4h), respectively, and the pseudo-first order model represented the process better. The Isoterm models that best represented the batch data were the Freundlich model and the Langmuir model, for the CAM and CAV (qmax 18.04 mg g -1), respectively. The rupture curves obtained for the CAM in the continuous system indicated the flow of 1.1 mL min-1 as the best operating flow. The Langmuir Isotherm model presented the best fit to the data (qmax 109.27 mg g -1) and the modeling of the process showed that the step that controls the adsorption of prednisone in CAM is the intraparticle diffusion of adsorbent, presenting R² greater than 0.995.
publishDate 2018
dc.date.issued.fl_str_mv 2018-03-28
dc.date.accessioned.fl_str_mv 2020-07-31T19:08:52Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/masterThesis
format masterThesis
status_str publishedVersion
dc.identifier.citation.fl_str_mv ZANETTE, Jessica Caroline. Adsorção de Prednisona em carvões ativados – modelagem matemática. 2018. 113 f. Dissertação (Mestrado em Engenharia Química) - Universidade Estadual do Oeste do Paraná, Toledo, 2018.
dc.identifier.uri.fl_str_mv http://tede.unioeste.br/handle/tede/4868
identifier_str_mv ZANETTE, Jessica Caroline. Adsorção de Prednisona em carvões ativados – modelagem matemática. 2018. 113 f. Dissertação (Mestrado em Engenharia Química) - Universidade Estadual do Oeste do Paraná, Toledo, 2018.
url http://tede.unioeste.br/handle/tede/4868
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language por
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dc.publisher.none.fl_str_mv Universidade Estadual do Oeste do Paraná
Toledo
dc.publisher.program.fl_str_mv Programa de Pós-Graduação em Engenharia Química
dc.publisher.initials.fl_str_mv UNIOESTE
dc.publisher.country.fl_str_mv Brasil
dc.publisher.department.fl_str_mv Centro de Engenharias e Ciências Exatas
publisher.none.fl_str_mv Universidade Estadual do Oeste do Paraná
Toledo
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