Czech J. Food Sci., 2025, 43(1):8-16 | DOI: 10.17221/84/2024-CJFS

Application predictive modelling of Penicillium roqueforti germination in environmental conditions in cakeOriginal Paper

Hassan Nakhchian ORCID..., Farideh Tabatabaee Yazdi, Seyed Ali Mortazavi ORCID..., Mohebat Mohebi
Department of Food Science and Technology, Faculty of Agriculture, Ferdowsi University of Mashhad, Mashad, Iran

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.

Keywords: food safety; mould germination; modelling; NeuroSolutions

Received: May 10, 2024; Revised: November 9, 2024; Accepted: November 15, 2024; Prepublished online: February 13, 2025; Published: February 28, 2025  Show citation

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Nakhchian H, Tabatabaee Yazdi F, Mortazavi SA, Mohebi M. Application predictive modelling of Penicillium roqueforti germination in environmental conditions in cake. Czech J. Food Sci. 2025;43(1):8-16. doi: 10.17221/84/2024-CJFS.
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    References

    1. Aldars-García L., Sanchis V., Ramos A.J., Marín S. (2017): Time-course of germination, initiation of mycelium proliferation and probability of visible growth and detectable AFB1 production of an isolate of Aspergillus flavus on pistachio extract agar. Food Microbiology, 64: 104-111. Go to original source... Go to PubMed...
    2. Arena M.P., Russo P., Spano G., Capozzi V. (2020): From microbial ecology to innovative applications in food quality improvements: The case of Sourdough as a model matrix. Multidisciplinary Scientific Journal, 3: 9-19. Go to original source...
    3. Dantigny P., Marín S., Beyer M., Magan N. (2007): Mould germination: Data treatment and modelling. International Journal of Food Microbiology, 114: 17-24. Go to original source... Go to PubMed...
    4. Dijksterhuis J. (2019): Fungal spores: Highly variable and stress-resistant vehicles for distribution and spoilage. Food Microbiology, 81: 2-11. Go to original source... Go to PubMed...
    5. Garcia D., Ramos A.J., Sanchis V., Marín S. (2010): Modelling mould growth under suboptimal environmental conditions and inoculum size. Food Microbiology, 27: 909-917. Go to original source... Go to PubMed...
    6. Gougouli M., Koutsoumanis K.P. (2010): Modelling growth of Penicillium expansum and Aspergillus niger at constant and fluctuating temperature conditions. International Journal of Food Microbiology, 140: 254-262. Go to original source... Go to PubMed...
    7. Gougouli M., Koutsoumanis K.P. (2012): Modeling germination of fungal spores at constant and fluctuating temperature conditions. International Journal of Food Microbiology, 152: 153-161. Go to original source... Go to PubMed...
    8. Gougouli M., Kalantzi K., Beletsiotis E., Koutsoumanis K.P. (2011): Development and application of predictive models for fungal growth as tools to improve quality control in yogurt production. Food Microbiology, 28: 1453-1462. Go to original source... Go to PubMed...
    9. Hocking A.D., Pitt J.I. (1980): Dichloran-glycerol medium for enumeration of xerophilic fungi from low-moisture foods. Applied and Environmental Microbiology, 39: 488-492. Go to original source... Go to PubMed...
    10. Huang Y., Chapman B., Wilson M., Hocking A.D. (2009): Effect of agar concentration on the matric potential of glycerol agar media and the germination and growth of xerophilic and non-xerophilic fungi. International Journal of Food Microbiology, 133: 179-185. Go to original source... Go to PubMed...
    11. Huang Y., Begum M., Chapman B., Hocking A.D. (2010): Effect of reduced water activity and reduced matric potential on the germination of xerophilic and non-xerophilic fungi. International Journal of Food Microbiology, 140: 1-5. Go to original source... Go to PubMed...
    12. Kalai S., Anzala L., Bensoussan M., Dantigny P. (2017): Modelling the effect of temperature, pH, water activity, and organic acids on the germination time of Penicillium camemberti and Penicillium roqueforti conidia. International Journal of Food Microbiology, 240: 124-130. Go to original source... Go to PubMed...
    13. Makari M., Hojjati M., Shahbazi S., Askari H. (2021): Elimination of Aspergillus flavus from pistachio nuts with dielectric barrier discharge (DBD) cold plasma and its impacts on biochemical indices. Journal of Food Quality, 6: 1-12. Go to original source...
    14. Marín S., Magan N., Abellana M., Canela R., Ramos A., Sanchis V. (2000): Selective effect of propionates and water activity on maize mycoflora and impact on fumonisin B1 accumulation. Journal of Stored Products Research, 36: 203-214. Go to original source...
    15. Pardo E., Marín S., Sanchis V., Ramos A. (2004): Prediction of fungal growth and ochratoxin A production by Aspergillus ochraceus on irradiated barley grain as influenced by temperature and water activity. International Journal of Food Microbiology, 95: 79-88. Go to original source... Go to PubMed...
    16. Pardo E., Malet M., Marín S., Sanchis V., Ramos A. (2006): Effects of water activity and temperature on germination and growth profiles of ochratoxigenic Penicillium verrucosum isolates on barley meal extract agar. International Journal of Food Microbiology, 106: 25-31. Go to original source... Go to PubMed...
    17. Santos J.L., Chaves R.D., Sant'Ana A.S. (2020): Modeling the impact of water activity, pH, and calcium propionate on the germination of single spores of Penicillium paneum. LWT - Food Science and Technology, 133: 110012. Go to original source...
    18. Schubert M., Mourad S., Schwarze F. (2010): Statistical approach to determine the effect of combined environmental parameters on conidial development of Trichoderma atroviride (T-15603.1). Journal of Basic Microbiology, 50: 570-580. Go to original source... Go to PubMed...
    19. Shirani K., Shahidi F., Mortazavi S.A. (2020): Investigation of decontamination effect of argon cold plasma on physicochemical and sensory properties of almond slices. International Journal of Food Microbiology, 335: 108892. Go to original source... Go to PubMed...
    20. Van Long N.N., Vasseur V., Coroller L., Dantigny P., Le Panse S., Weill A., Mounier J., Rigalma K. (2017): Temperature, water activity and pH during conidia production affect the physiological state and germination time of Penicillium species. International Journal of Food Microbiology, 241: 151-160. Go to original source...

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