Application predictive modelling of Penicillium roqueforti germination in environmental conditions in cake
Year: 2025
Type: article
Abstract: This study aimed to predict the germination of Penicillium roqueforti as one of the most important moulds in cake in certain environmental conditions that lead to cake spoilage. The germination rate of P. roqueforti was evaluated by culturing in the Yeast Extract Glucose Chloramphenicol Agar medium with different pH, water activity (aw), and inoculum size at three levels of temperature (15, 25, 30 °C) during 60 days by the factorial experiment. The results of analysis of variance (ANOVA) proved that environmental conditions affect germination significantly (P < 0.05). Predictive modelling illustrated that the temperature did not affect germination significantly, while no germination was seen at aw = 0.65. The minimum lag phase of germination was observed at aw = 0.9, pH = 6.5, and inoculum size of 1 000 spores per mL. The logistic model was found to be more precise for fitting the data of P. roqueforti in cakes.
Source: Czech Journal of Food Sciences
Authors: Hassan Nakhchian, Farideh Tabatabaee Yazdi, Seyed Ali Mortazavi, Mohebat Mohebi
Institution: Ferdowsi University of Mashhad
Language: English
Subfield: Food Science
Domain: Life Sciences
SDG: Zero hunger
Open Access status: gold
Estimated APC paid: $609
Funder: Ferdowsi University of Mashhad
OpenAlex ID: W4407525201