Artículos de revistas
Mathematical modeling of Kluyveromyces marxianus growth in solid-state fermentation using a packed-bed bioreactor
Registro en:
Journal Of Industrial Microbiology & Biotechnology. Springer Heidelberg, v. 37, n. 4, n. 391, n. 400, 2010.
1367-5435
WOS:000276722100008
10.1007/s10295-009-0685-x
Autor
Mazutti, MA
Zabot, G
Boni, G
Skovronski, A
de Oliveira, D
Di Luccio, M
Rodrigues, MI
Maugeri, F
Treichel, H
Institución
Resumen
Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES) Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq) This work investigated the growth of Kluyveromyces marxianus NRRL Y-7571 in solid-state fermentation in a medium composed of sugarcane bagasse, molasses, corn steep liquor and soybean meal within a packed-bed bioreactor. Seven experimental runs were carried out to evaluate the effects of flow rate and inlet air temperature on the following microbial rates: cell mass production, total reducing sugar and oxygen consumption, carbon dioxide and ethanol production, metabolic heat and water generation. A mathematical model based on an artificial neural network was developed to predict the above-mentioned microbial rates as a function of the fermentation time, initial total reducing sugar concentration, inlet and outlet air temperatures. The results showed that the microbial rates were temperature dependent for the range 27-50 degrees C. The proposed model efficiently predicted the microbial rates, indicating that the neural network approach could be used to simulate the microbial growth in SSF. 37 4 391 400 Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES) FAPERGS Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq) FEA/UNICAMP URI-Campus Erechim Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES) Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq) CAPES [0337/05-6]