Dynamic Modelling of Listeria monocytogenes Growth in a Milk Model Medium as Affected by pH and Selected Lactic Acid Bacteria Strains

predictive microbiology
lactic acid bacteria
Listeria monocytogenes
dairy safety
pH modelling
Author

Yara Loforte, Mariem Zanzan, Vasco Cadavez, Ursula Gonzales-Barron

Doi

Citation (APA 7)

Loforte, Y., Zanzan, M., Cadavez, V., & Gonzales-Barron, U. (2025). Dynamic modelling of Listeria monocytogenes growth in a milk model medium as affected by pH and selected lactic acid bacteria strains. Foods, 14(23), 3999. https://doi.org/10.3390/foods14233999

Abstract

Three lactic acid bacteria strains—Leuconostoc mesenteroides, Lacticaseibacillus paracasei, and Loigolactobacillus coryniformis—were evaluated for their ability to limit the growth of Listeria monocytogenes in heat-treated reconstituted milk adjusted to initial pH 5.5, 6.0, or 6.5. Monoculture and co-culture challenge tests were modeled using a pH-driven approach and a Jameson-effect model; the pH-driven model yielded more precise growth estimates. In monoculture, L. mesenteroides exhibited the fastest development across pH levels, while in co-culture it most effectively curtailed L. monocytogenes by reducing growth rates. Increasing initial milk pH led to higher maximum concentrations of the pathogen in both mono- and co-culture, though all LAB strains reduced the final pathogen load. Adjusting milk toward acidic pH before fermentation provides an additional barrier against L. monocytogenes.