Optimization and Modeling of Laccase Production by Trametes versicolor in a Bioreactor Using Statistical Experimental Design

Experimental design and response surface methodologies were applied to optimize laccase production by Trametes versicolor in a bioreactor. The effects of three factors, initial glucose concentration (0 and 9 g/L), agitation (100 and 180 rpm), and pH (3.0 and 5.0), were evaluated to identify the sign...

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Bibliographic Details
Published in:Applied biochemistry and biotechnology 2006-09, Vol.134 (3), p.233-248
Main Authors: Tavares, A.P.M, Coelho, M.A.Z, Agapito, M.S.M, Coutinho, J.A.P, Xavier, A.M.R.B
Format: Article
Language:English
Subjects:
Algorithms
Basidiomycota - enzymology
Basidiomycota - growth & development
biological production
Bioreactors
Bioreactors - microbiology
Cell Culture Techniques - methods
Cell Proliferation
Computer Simulation
Experimental design
laccase
Laccase - biosynthesis
Mathematical models
Models, Biological
Models, Statistical
Mushrooms
Quality Control
Reactors
Studies
Trametes versicolor
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Summary:Experimental design and response surface methodologies were applied to optimize laccase production by Trametes versicolor in a bioreactor. The effects of three factors, initial glucose concentration (0 and 9 g/L), agitation (100 and 180 rpm), and pH (3.0 and 5.0), were evaluated to identify the significant effects and its interactions in the laccase production. The pH of the medium was found to be the most important factor, followed by initial glucose concentration and the interaction of both factors. Agitation did not seem to play an important role in laccase production, nor did the interaction agitation x medium pH and agitation x initial glucose concentration. Response surface analysis showed that an initial glucose concentration of 11 g/L and pH controlled at 5.2 were the optimal conditions for laccase production by T. versicolor. Under these conditions, the predicted value for laccase activity was >10,000 U/L, which is in good agreement with the laccase activity obtained experimentally (11,403 U/L). In addition, a mathematical model for the bioprocess was developed. It is shown that it provides a good description of the experimental profile observed, and that it is capable of predicting biomass growth based on secondary process variables.
ISSN:0273-2289
1559-0291
0273-2289
DOI:10.1385/ABAB:134:3:233