Continuous production of succinic acid from glycerol: A complete experimental and computational study

[Display omitted] •A bioprocess for continuous succinic acid bioproduction from glycerol is presented.•A robust bioprocess model that works across bioreactor configurations is developed.•Optimisation to compute optimal productivity and conversion conditions is performed.•Computed optimal operating c...

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Veröffentlicht in:Bioresource technology 2023-10, Vol.386, p.129518-129518, Article 129518
Hauptverfasser: Zacharopoulos, Ioannis, Theodoropoulos, Constantinos
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Sprache:eng
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Zusammenfassung:[Display omitted] •A bioprocess for continuous succinic acid bioproduction from glycerol is presented.•A robust bioprocess model that works across bioreactor configurations is developed.•Optimisation to compute optimal productivity and conversion conditions is performed.•Computed optimal operating conditions are experimentally validated.•Continuous bioprocess productivity is 78.6% higher compared to batch productivity. In this work, a bioprocess for the fermentation of A. succinogenes for the production of succinic acid from glycerol was developed, employing a continuous bioreactor with recycle. Moreover, a new bioprocess model was constructed, based on an existing double substrate limitation model, which was validated with experimental results for a range of operating parameters. The model was used to successfully predict the dynamics of the continuous fermentation process and was subsequently employed in optimisation studies to compute the optimal conditions, dilution rate, reflux rate and feed glycerol concentration, that maximise the productivity of bio-succinic acid. In addition, a Pareto front for optimal volumetric productivity and glycerol conversion combinations was computed. Maximum volumetric productivity of 0.518 g/L/h, was achieved at the optimal computed conditions, which were experimentally validated. This is the highest bio-succinic acid productivity reported so far, for such a continuous bioprocess.
ISSN:0960-8524
1873-2976
DOI:10.1016/j.biortech.2023.129518