Sabiia Seb
PortuguêsEspañolEnglish
Embrapa
        Busca avançada

Botão Atualizar


Botão Atualizar

Registro completo
Provedor de dados:  Electron. J. Biotechnol.
País:  Chile
Título:  Analysis of batch and repeated fedbatch productions of Candida utilis cell mass using mathematical modeling method
Autores:  Lin,Yutian
Liu,Guoli
Lin,Huibin
Gao,Ling
Lin,Jianqiang
Data:  2013-07-01
Ano:  2013
Palavras-chave:  Candida utilis
Fermentation
Genetic algorithm
Mathematical model
Resumo:  Background: Candida utilis is widely used in bioindustry, and its cell mass needs to be produced in a cost effective way. Process optimization based on the experimental results is the major way to reduce the production cost. However, this process is expensive, time consuming and labor intensive. Mathematical modeling is a useful tool for process analysis and optimization. Furthermore, sufficient information can be obtained with fewer experiments by using the mathematical modeling, and some results can be predicted even without doing experiments. Results: In the present study, we performed the mathematical modeling and simulation for the cell mass production of Candida utilis based on limited batch and repeated fedbatch experiments. The model parameters were optimized using genetic algorithm (GA), and the processes were analyzed. Conclusions: Taken together, this newly developed method is efficient, labor saving and cost effective.
Tipo:  Journal article
Idioma:  Inglês
Identificador:  http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0717-34582013000400002
Editor:  Pontificia Universidad Católica de Valparaíso
Formato:  text/html
Fonte:  Electronic Journal of Biotechnology v.16 n.4 2013
Fechar
 

Empresa Brasileira de Pesquisa Agropecuária - Embrapa
Todos os direitos reservados, conforme Lei n° 9.610
Política de Privacidade
Área restrita

Embrapa
Parque Estação Biológica - PqEB s/n°
Brasília, DF - Brasil - CEP 70770-901
Fone: (61) 3448-4433 - Fax: (61) 3448-4890 / 3448-4891 SAC: https://www.embrapa.br/fale-conosco

Valid HTML 4.01 Transitional