Application of a dynamic metabolic flux algorithm during a temperature-induced lag phase

•One of the first applications of dMFA to experimental data in predictive microbiology is presented.•Two batch bioreactor experiments are performed and the measurements are described.•Specific metabolic fluxes during a temperature-induced lag phase are estimated.•Characteristic metabolic patterns du...

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Bibliographic Details
Published in:	Food and bioproducts processing Vol. 102; pp. 1 - 19
Main Authors:	Vercammen, D., Telen, D., Nimmegeers, P., Janssens, A., Akkermans, S., Noriega Fernandez, E., Logist, F., Van Impe, J.
Format:	Journal Article
Language:	English
Published:	Rugby Elsevier B.V 01-03-2017 Elsevier Science Ltd
Subjects:	Algorithms B-spline parameterization Bioreactors Dynamic metabolic flux analysis Dynamic optimization E coli Experimental validation Fluxes Food production Food quality Food safety Growth Lag phase Macroscopic models Mathematical models Metabolic flux Metabolism Metabolites Microbiology Multiscale analysis Prediction models Predictions Predictive microbiology Product safety Reactors Temperature Temperature effects Dynamic metabolic flux analysis B-spline parameterization Experimental validation Predictive microbiology Dynamic optimization Lag phase
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