Please use this identifier to cite or link to this item: http://repositorio.unicamp.br/jspui/handle/REPOSIP/53321
Type: Artigo de periódico
Title: Mathematical modeling of Kluyveromyces marxianus growth in solid-state fermentation using a packed-bed bioreactor
Author: Mazutti, MA
Zabot, G
Boni, G
Skovronski, A
de Oliveira, D
Di Luccio, M
Rodrigues, MI
Maugeri, F
Treichel, H
Abstract: 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.
Subject: Kluyveromyces marxianus NRRL Y-7571
Microbial rates
Packed-bed bioreactor
Simulated annealing
Particle swarm optimization
Country: Alemanha
Editor: Springer Heidelberg
Rights: fechado
Identifier DOI: 10.1007/s10295-009-0685-x
Date Issue: 2010
Appears in Collections:Artigos e Materiais de Revistas Científicas - Unicamp

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