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  Steady-state multiplicity in bioreactors : bifurcation analysis of cybernetic models

Namjoshi, A., Kienle, A., & Ramkrishna, D. (2003). Steady-state multiplicity in bioreactors: bifurcation analysis of cybernetic models. Chemical Engineering Science, 58(3-6), 793-800.

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 Creators:
Namjoshi, A.1, Author
Kienle, A.2, 3, Author           
Ramkrishna, D.1, Author
Affiliations:
1Purdue University, West Lafayette, USA, ou_persistent22              
2Process Synthesis and Process Dynamics, Max Planck Institute for Dynamics of Complex Technical Systems, Max Planck Society, ou_1738153              
3Otto-von-Guericke-Universität Magdeburg, External Organizations, ou_1738156              

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 Abstract: Biological systems have an additional level of complexity compared to other chemical systems because of the effects of metabolic regulation, a defining feature of biosystems. Metabolic regulation in the form of control of enzyme synthesis and activity leads to non-linear behavior in bioreactors. Mathematical models that take into account these control mechanisms can be very successful in capturing the peculiarities of bioreactors such as multiple steady states and periodic phenomena. Cybemetic models model the expression and activation of enzymes by the use of cybernetic control variables and have been used to explain multiplicities in hybridoma reactors. In particular Namjoshi et al. (Biotechnol. BioEng. (2002), accepted) have been able to predict the transition from batch and fed batch to continuous culture in hybridoma experiments (Biotechnol. BioEng. 67(l) (2000) 25). The resulting multiple steady states vary widely in cell mass and waste metabolites. The model captures this multiplicity and its bifurcation analysis his revealed additional steady-state branches, three unstable and one stable. The stability of the additional steady state (steady state 4) was confirmed by dynamic simulations using fed-batch strategy prior to initiation of continuous operation. Steady state 4, in view of its close proximity to steady state 3, appears to have little practical significance. The likelihood of additional steady states that may be significantly different can, however not be ignored. Thus, it seems possible to envisage other states of metabolic activity, displaying alternative flux distributions that could lead to steady states notably different from those already determined. Calculation of the most singular point of the system herein is rendered difficult by both its size and possession of non-differentiable variables. The bifurcation analysis reveals the steady-state behavior under a range of operating conditions and can be used to plan optimum bioreactor operation. © 2003 Elsevier Science Ltd. All rights reserved. [accessed 2014 March 28th]

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Language(s): eng - English
 Dates: 2003
 Publication Status: Issued
 Pages: -
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 Rev. Type: Peer
 Identifiers: eDoc: 13817
DOI: 10.1016/S0009-2509(02)00609-7
Other: 30/03
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Title: 17 Symposium on Chemical Reaction Engineering ISCRE 17
Place of Event: Hong Kong, China
Start-/End Date: 2002-08-25 - 2002-08-28

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Title: Chemical Engineering Science
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Source Genre: Journal
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Pages: - Volume / Issue: 58 (3-6) Sequence Number: - Start / End Page: 793 - 800 Identifier: ISSN: 0009-2509