Enhancing Logistic Modeling for Diauxic Growth and Biphasic Antibacterial Activity Synthesis by Lactic Acid Bacteria in Realkalized Fed-Batch Fermentations

Nelson Pérez Guerra ()
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Nelson Pérez Guerra: Department of Analytical and Food Chemistry, Faculty of Sciences, University of Vigo, Ourense Campus, As Lagoas s/n, 32004 Ourense, Spain

Mathematics, 2025, vol. 13, issue 19, 1-30

Abstract: The logistic modeling of diauxic growth and biphasic antibacterial activity (AA) production was enhanced for four lactic acid bacteria ( Lactococcus lactis CECT 539, Pediococcus acidilactici NRRL B-5627, Lactobacillus casei CECT 4043, and Enterococcus faecium CECT 410) during realkalized fed-batch fermentations. The improved growth model, also validated for describing the diauxic growth of Mos breed roosters and foals, overcomes a key limitation of the bi-logistic model, which assumes the existence of two distinct populations growing from the start of the culture, each following a different growth profile. In contrast, the improved logistic growth model developed in this study accounts for a single population growing at two rates, offering a fit to the experimental data comparable to that of the commonly used bi-logistic model. The enhanced model for product synthesis accurately describes biphasic AA production, assuming that antibacterial products are synthesized as growth-associated metabolites, depending on the final pH reached in the cultures at each sampling time. Additionally, it is easier to apply than the unmodified or modified differential forms of the Luedeking–Piret model. This study demonstrated, for the first time, the applicability of these two models in describing the diauxic growth and biphasic AA synthesis of LAB.

Keywords: biphasic bacteriocin production; diauxic growth; fed-batch fermentation; lactic acid bacteria; improved mathematical models (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2025
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