Titel
Predictive dynamic control accurately maps the design space for 2,3-butanediol production
Autor*in
Anna Erian
BOKU University
Autor*in
Hans Marx
TU Wien
... show all
Abstract
2,3-Butanediol is a valuable raw material for many industries. Compared to its classical production from petroleum, novel fermentation-based manufacturing is an ecologically superior alternative. To be also economically feasible, the production bioprocesses need to be well optimized. Here, we adapted and applied a novel process optimization algorithm, dynamic control flux-balance analysis (dcFBA), for 2,3-butanediol production in E. coli. First, we performed two-stage fed-batch process simulations with varying process lengths. There, we found that the solution space can be separated into a proportionality and a trade-off region. With the information of the simulations we were able to design close-to-optimal production processes for maximizing titer and productivity, respectively. Experimental validations resulted in a titer of 43.6±9.9gL⁻¹ and a productivity of 1.93±0.08gL⁻¹h⁻¹. Subsequently, we optimized a continuous two-reactor process setup for 2,3-butanediol productivity. We found that in this mode, it is possible to increase the productivity more than threefold with minor impact on the titer and yield. Biotechnological process optimization is cumbersome, therefore, many processes are run in suboptimal conditions. We are confident that the method presented here, will help to make many biotechnological productions economically feasible in the future.
Stichwort
Dynamic controlTwo-stage fed-batch processTwo-reactor continuous process
Objekt-Typ
Sprache
Englisch [eng]
Persistent identifier
https://phaidra.univie.ac.at/o:2121914
Erschienen in
Titel
Computational and Structural Biotechnology Journal
Band
23
ISSN
2001-0370
Erscheinungsdatum
2024
Seitenanfang
3850
Seitenende
3858
Verlag
Elsevier BV
Erscheinungsdatum
2024
Zugänglichkeit
Rechteangabe
(c) 2024 The Author(s)

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