Modelling the Radial Growth of : Effects of Temperature and Water Activity

Overview

Journal Microorganisms

Specialty Microbiology

Date 2021 Apr 3

PMID 33807629

Citations 2

Authors

Martina Konuchova

lubomir Valik

Affiliations

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Abstract

Modelling the growth of microorganisms in relation to environmental factors provides quantitative knowledge that can be used to predict their behaviour in foods. For this reason, the effects of temperature and water activity () adjusted with NaCl on the surface growth of two isolates and one culture strain of were studied. A dataset of growth parameters obtained from almost 600 growth curves was employed for secondary modelling with cardinal models (CMs). The theoretical minimal temperature resulting from the modelling of the mycelium proliferation rate ranged from -5.2 to -0.4 °C. Optimal and maximal temperatures were calculated and found to have narrow ranges of 25.4 to 28.0 °C and 34.2 to 37.6 °C, respectively. Cardinal values associated with radial growth ( from 0.948-0.960 and from 0.992-0.993) confirmed the salt sensitivity of the species. Model goodness-of-fit was evaluated by the coefficient of determination , which ranged from 0.954 to 0.985, and , which ranged from 0.28 to 0.42. Substantially higher variability accompanied the lag time for growth modelling than the radial growth rate modelling despite the square root transformation of the reciprocal lag phase data ( = 0.685 to 0.808). Nevertheless, the findings demonstrate that the outputs of growth modelling can be applied to the quantitative evaluation of the roles of in fresh cheese spoilage as well as the ripening of Camembert-type cheeses or various artisanal cheeses. Along with validation, the interactions with lactic acid bacteria can be included to improve the predictions of in the future.

Citing Articles

Salt concentration in substrate modulates the composition of bacterial and yeast microbiomes of .

Yakovleva E, Danilova I, Maximova I, Shabaev A, Dmitrieva A, Belov A Microbiome Res Rep. 2024; 3(2):19.

PMID: 38846022 PMC: 11153085. DOI: 10.20517/mrr.2023.56.

Characterisation of the surface growth of in cheese agar media using predictive mathematical models.

Konuchova M, Bohacikova A, Valik L Heliyon. 2024; 10(9):e30812.

PMID: 38765159 PMC: 11101853. DOI: 10.1016/j.heliyon.2024.e30812.

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