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Evaluation of the energy efficiency of enzyme fermentation by mechanistic modeling
Author(s) -
Albaek Mads O.,
Gernaey Krist V.,
Hansen Morten S.,
Stocks Stuart M.
Publication year - 2012
Publication title -
biotechnology and bioengineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.136
H-Index - 189
eISSN - 1097-0290
pISSN - 0006-3592
DOI - 10.1002/bit.24364
Subject(s) - biochemical engineering , trichoderma reesei , process (computing) , cellulosic ethanol , fermentation , process engineering , chemistry , environmental science , pulp and paper industry , computer science , enzyme , engineering , biochemistry , cellulose , cellulase , operating system
Modeling biotechnological processes is key to obtaining increased productivity and efficiency. Particularly crucial to successful modeling of such systems is the coupling of the physical transport phenomena and the biological activity in one model. We have applied a model for the expression of cellulosic enzymes by the filamentous fungus Trichoderma reesei and found excellent agreement with experimental data. The most influential factor was demonstrated to be viscosity and its influence on mass transfer. Not surprisingly, the biological model is also shown to have high influence on the model prediction. At different rates of agitation and aeration as well as headspace pressure, we can predict the energy efficiency of oxygen transfer, a key process parameter for economical production of industrial enzymes. An inverse relationship between the productivity and energy efficiency of the process was found. This modeling approach can be used by manufacturers to evaluate the enzyme fermentation process for a range of different process conditions with regard to energy efficiency. Biotechnol. Bioeng. 2012; 109:950–961. © 2011 Wiley Periodicals, Inc.

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