Mathematical modeling of Kluyveromyces marxianus growth in solid-state fermentation using a packed-bed bioreactor.
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.
Mazutti
Marcio A
MA
Department of Food Engineering, URI, Campus de Erechim, P.O. Box 743, Erechim, RS CEP 99700-000, Brazil.
Zabot
Giovani
G
Boni
Gabriela
G
Skovronski
Aline
A
de Oliveira
Débora
D
Di Luccio
Marco
M
Rodrigues
Maria Isabel
MI
Maugeri
Francisco
F
Treichel
Helen
H
D000332:Aerobiosis; D018533:Biomass; D019149:Bioreactors / Q000382:microbiology*; D003470:Culture Media / Q000737:chemistry; D005285:Fermentation; D007716:Kluyveromyces / Q000254:growth & development*; D008962:Models, Theoretical; D010100:Oxygen / Q000378:metabolism; D031786:Saccharum / Q000378:metabolism; D013025:Glycine max / Q000378:metabolism; D013696:Temperature; D003313:Zea mays / Q000378:metabolism
D003470:Culture Media; D010100:Oxygen