Please use this identifier to cite or link to this item: http://dx.doi.org/10.18419/opus-14156
Authors: Sarkizi Shams Hajian, Christopher
Haringa, Cees
Noorman, Henk
Takors, Ralf
Title: Predicting by-product gradients of baker’s yeast production at industrial scale : a practical simulation approach
Issue Date: 2020
metadata.ubs.publikation.typ: Zeitschriftenartikel
metadata.ubs.publikation.seiten: 19
metadata.ubs.publikation.source: Processes 8 (2020), No. 1554
URI: http://nbn-resolving.de/urn:nbn:de:bsz:93-opus-ds-141751
http://elib.uni-stuttgart.de/handle/11682/14175
http://dx.doi.org/10.18419/opus-14156
ISSN: 2227-9717
Abstract: Scaling up bioprocesses is one of the most crucial steps in the commercialization of bioproducts. While it is known that concentration and shear rate gradients occur at larger scales, it is often too risky, if feasible at all, to conduct validation experiments at such scales. Using computational fluid dynamics equipped with mechanistic biochemical engineering knowledge of the process, it is possible to simulate such gradients. In this work, concentration profiles for the by-products of baker’s yeast production are investigated. By applying a mechanistic black-box model, concentration heterogeneities for oxygen, glucose, ethanol, and carbon dioxide are evaluated. The results suggest that, although at low concentrations, ethanol is consumed in more than 90% of the tank volume, which prevents cell starvation, even when glucose is virtually depleted. Moreover, long exposure to high dissolved carbon dioxide levels is predicted. Two biomass concentrations, i.e., 10 and 25 g/L, are considered where, in the former, ethanol production is solely because of overflow metabolism while, in the latter, 10% of the ethanol formation is due to dissolved oxygen limitation. This method facilitates the prediction of the living conditions of the microorganism and its utilization to address the limitations via change of strain or bioreactor design or operation conditions. The outcome can also be of value to design a representative scale-down reactor to facilitate strain studies.
Appears in Collections:04 Fakultät Energie-, Verfahrens- und Biotechnik

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