Detalhes bibliográficos
Ano de defesa: |
2014 |
Autor(a) principal: |
Rosa, Paula de Freitas |
Orientador(a): |
Aguiar, Mônica Lopes
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Banca de defesa: |
Não Informado pela instituição |
Tipo de documento: |
Dissertação
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Tipo de acesso: |
Acesso aberto |
Idioma: |
por |
Instituição de defesa: |
Universidade Federal de São Carlos
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Programa de Pós-Graduação: |
Programa de Pós-Graduação em Engenharia Química - PPGEQ
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Departamento: |
Não Informado pela instituição
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País: |
BR
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Palavras-chave em Português: |
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Palavras-chave em Inglês: |
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Área do conhecimento CNPq: |
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Link de acesso: |
https://repositorio.ufscar.br/handle/20.500.14289/4132
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Resumo: |
The monitoring of indoor air quality (QIA) is a subject that has been disseminated in the current research. The objectives of them are the development of common methodologies to identify possible pollution agents at different locations. However, there are few works that develop methodologies in an attempt to mitigate the effects of indoor air pollution. Based on this problem, this study aimed to evaluate the effectiveness of filters doped with silver nanoparticles in the elimination of bacteria and fungi (bioaerosols) present in particulate matter from indoor environments, since it is known that nanosized silver particles have pronounced bactericidal and fungicidal effect. To achieve these goals, fabrics considered common were initially acquired in malls and were evaluated in terms of their filtration properties (permeability, loss, collection efficiency). It was subsequently performed the synthesis of silver nanoparticles suspension followed by immersion in the suspension of the chosen fabric. After drying, they were used to collect air suspended particulate material in a bathroom of the Department of Chemical Engineering of the Federal University of São Carlos. From the results it was verified that the filters doped with silver nanoparticles were able to significantly eradicate microorganisms present in air suspended particulate material. The elimination of microorganisms ranged from 22 to 82% for the mesh PV and 71 to 100% for the cotton fabric. |