Evaluation of the energy efficiency of enzyme fermentation by mechanistic modeling

Publication: Research - peer-reviewJournal article – Annual report year: 2012

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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.
Original languageEnglish
JournalBiotechnology and Bioengineering (Print)
Publication date2012
Volume109
Issue4
Pages950-961
ISSN0006-3592
DOIs
StatePublished
CitationsWeb of Science® Times Cited: 4

Keywords

  • Trichoderma, Cellulases, Energy efficiency, Mass transfer correlatio, Process modeling
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