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This study aimed at assessing the impact of the physiological state of fungal spores on inactivation by sodium hypochlorite, 0.1% and 0.2% active chlorine, and 3% hydrogen peroxide. In this context, two physiological states were compared for 4 fungal species (5 strains). The first physiological state corresponded to fungal spores produced at 0.99 aw and harvested using an aqueous solution (laboratory conditions), while the second one corresponded to fungal spores produced under a moderate water stress (0.95 aw) and dry-harvested (mechanical harvesting without use of any water, mimicking food plant conditions). Aspergillus flavus “food plant” conidia were more resistant to all tested fungicide molecules than the “laboratory” ones. The same phenomenon was observed for Penicillium commune UBOCC-A-116003 conidia treated with hydrogen peroxide. However, this isolate did not exhibit any inactivation difference between “laboratory” and “food plant” conidia treated with sodium hypochlorite. Similarly, the physiological state of Cladosporium cladosporioides conidia did not impact the efficacy of the tested biocides. P. commune UBOCC-A-112059 “food plant” and “laboratory” conidia were more resistant to hydrogen peroxide and sodium hypochlorite, respectively. As for Mucor circinelloides, “laboratory” spores were more resistant to all disinfectant than the “food plant” ones. Noteworthy, regardless of the physiological state, all M. circinelloides and C. cladosporioides conidia were inactivated for 5 min treatment at 0.2% active chlorine and for 2.5 min treatment at 0.1% active chlorine, while the conidia of all the other species remained viable for these treatments. The obtained data indicate that the efficacy of disinfectant molecules depends not only on the encountered fungal species and its intraspecific diversity but also on the spore physiological state.

Water activity (aw) is one of the most influential abiotic factors affecting fungal development in foods. The effects of aw reduction on conidial germination and radial growth are generally studied by supplementing culture medium with the non-ionic solute glycerol despite food aw can also depend on the concentration of ionic solutes such as sodium chloride (NaCl). The present study aimed at modelling and comparing the effects of aw, either modified using NaCl or glycerol, on radial growth and/or conidial germination parameters for five fungal species occurring in the dairy environment. The estimated cardinal values were then used for growth prediction and compared to growth kinetics observed on commercial fresh cheese. Overall, as compared to glycerol, NaCl significantly increased the fungistatic effect resulting from aw reduction by extending latency and/or reducing radial growth rates of Paecilomyces niveus, Penicillium brevicompactum, Penicillium expansum and Penicillium roqueforti but not of Mucor lanceolatus. Besides, NaCl significantly reduced aw range for conidial germination and delayed median germination time of P. expansum but not of P. roqueforti. Despite these observations, cardinal aw values obtained on glycerol-medium yielded similar predictions of radial growth and germination time in commercial fresh cheese as those obtained with NaCl. Thus, it indicates that, for the studied species and aw range used for model validation, the use of NaCl instead of glycerol as a aw depressor had only limited impact for fungal behavior prediction.

The Mucor genus includes a large number of ubiquitous fungal species. In the dairy environment, some of them play a technological role providing typical organoleptic qualities to some cheeses while others can cause spoilage. In this study, we compared the effect of relevant abiotic factors for cheese production on the growth of six strains representative of dairy technological and contaminant species as well as of a non cheese related strain (plant endophyte). Growth kinetics were determined for each strain in function of temperature, water activity and pH on synthetic Potato Dextrose Agar (PDA), and secondary models were fitted to calculate the corresponding specific cardinal values. Using these values and growth kinetics acquired at 15 °C on cheese agar medium (CA) along with three different cheese types, optimal growth rates (μopt) were estimated and consequently used to establish a predictive model. Contrarily to contaminant strains, technological strains showed higher μopt on cheese matrices than on PDA. Interestingly, lag times of the endophyte strain were strongly extended on cheese related matrices. This study offers a relevant predictive model of growth that may be used for better cheese production control but also raises the question of adaptation of some Mucor strains to the cheese.