Dynamic Optimization of a Fed-Batch Nosiheptide Reactor

Clicks: 216
ID: 109628
2020
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Abstract
Nosiheptide is a sulfur-containing peptide antibiotic, showing exceptional activity against critical pathogens such as methicillin-resistant Staphylococcus aureus (MRSA) and vancomycin-resistant Enterococci (VRE) with livestock applications that can be synthesized via fed-batch fermentation. A simplified mechanistic fed-batch fermentation model for nosiheptide production considers temperature- and pH-dependence of biomass growth, substrate consumption, nosiheptide production and oxygen mass transfer into the broth. Herein, we perform dynamic simulation over a broad range of possible feeding policies to understand and visualize the region of attainable reactor performances. We then formulate a dynamic optimization problem for maximization of nosiheptide production for different constraints of batch duration and operability limits. A direct method for dynamic optimization (simultaneous strategy) is performed in each case to compute the optimal control trajectories. Orthogonal polynomials on finite elements are used to approximate the control and state trajectories allowing the continuous problem to be converted to a nonlinear program (NLP). The resultant large-scale NLP is solved using IPOPT. Optimal operation requires feedrate to be manipulated in such a way that the inhibitory mechanism of the substrate can be avoided, with significant nosiheptide yield improvement realized.
Reference Key
rodman2020dynamicprocesses Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Rodman, Alistair D.;Diab, Samir;Gerogiorgis, Dimitrios I.;
Journal processes
Year 2020
DOI
DOI not found
URL
https://www.mdpi.com/2227-9717/8/5/587
Keywords
chemistry Education Biology (General) Chemical technology Information technology Technology Language. Linguistic theory. Comparative grammar Computer applications to medicine. Medical informatics history of scholarship and learning. the humanities electronic computers. computer science mining engineering. metallurgy computer software computational linguistics. natural language processing

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