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Modeling the Effect of Modified Atmospheres on Conidial Germination of Fungi from Dairy Foods

Modified atmosphere packaging (MAP) is commonly applied to extend food shelf-life. Despite growth of a wide variety of fungal contaminants has been previously studied in relation to modified-atmospheres, few studies aimed at quantifying the effects of dioxygen (O(2)) and carbon dioxide (CO(2)) parti...

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Detalles Bibliográficos
Autores principales: Nguyen Van Long, Nicolas, Vasseur, Valérie, Couvert, Olivier, Coroller, Louis, Burlot, Marion, Rigalma, Karim, Mounier, Jérôme
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5671599/
https://www.ncbi.nlm.nih.gov/pubmed/29163403
http://dx.doi.org/10.3389/fmicb.2017.02109
Descripción
Sumario:Modified atmosphere packaging (MAP) is commonly applied to extend food shelf-life. Despite growth of a wide variety of fungal contaminants has been previously studied in relation to modified-atmospheres, few studies aimed at quantifying the effects of dioxygen (O(2)) and carbon dioxide (CO(2)) partial pressures on conidial germination in solid agar medium. In the present study, an original culture method was developed, allowing microscopic monitoring of conidial germination under modified-atmospheres in static conditions. An asymmetric model was utilized to describe germination kinetics of Paecilomyces niveus, Mucor lanceolatus, Penicillium brevicompactum, Penicillium expansum, and Penicillium roquefoti, using two main parameters, i.e., median germination time (τ) and maximum germination percentage (P(max)). These two parameters were subsequently modeled as a function of O(2) partial pressure ranging from 0 to 21% and CO(2) partial pressure ranging from 0.03 to 70% (8 tested levels for both O(2) and CO(2)). Modified atmospheres with residual O(2) or CO(2) partial pressures below 1% and up to 70%, respectively, were not sufficient to totally inhibit conidial germination,. However, O(2) levels < 1% or CO(2) levels > 20% significantly increased τ and/or reduced P(max), depending on the fungal species. Overall, the present method and results are of interest for predictive mycology applied to fungal spoilage of MAP food products.