Avaliação de variáveis operacionais e aplicação de enfoque híbrido na modelagem do processo de produção de penicilina G acilase por Bacillus megaterium

Detalhes bibliográficos
Ano de defesa: 2005
Autor(a) principal: Tonin, Fábio Cristiano
Orientador(a): Cruz, Antonio José Gonçalves da
Banca de defesa: Não Informado pela instituição
Tipo de documento: Dissertação
Tipo de acesso: Acesso aberto
Idioma: por
Instituição de defesa: Universidade Federal de São Carlos
Programa de Pós-Graduação: Programa de Pós-Graduação em Engenharia Química - PPGEQ
Departamento: Não Informado pela instituição
País: BR
Palavras-chave em Português:
Área do conhecimento CNPq:
Link de acesso: https://repositorio.ufscar.br/handle/20.500.14289/4176
Resumo: In the present work it was studied the influence of operational conditions particularly dissolved oxygen concentration in the penicillin G acylase (PGA) production. The experiments were carried out in aerated and agitated bioreactor employing bacteria Bacillus megaterium. The production of PGA is sensitive to dissolved oxygen concentration during its cultivation. As much its lack as its excess can be reduces PGA production. As regarding dissolved oxygen concentration the experiments realized in 10% of its saturation showed the better results. The media composition was not significantly influence on enzyme production. The use of potassium acetate instead of phenyl acetic acid as well as the reduction of eighteen for seven amino acids did not have effect on the cells and enzyme concentrations obtained. It was proposed an hybrid model combining mass balance equation with artificial neural network to infer the cellular concentration during the process. The proposed model showed good results to modeling cellular concentration in both training and validate data sets.