ArticleFrontiers in microbiology2026
Dynamic modeling of the growth of spoilage fungi on sweet cherries under fluctuating temperatures.
Article in Frontiers in microbiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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4 authors.
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Abstract
This study aimed to develop a predictive growth model for spoilage fungi on sweet cherries under fluctuating temperatures to improve shelf life management of sweet cherries in the supply chain. Spoilage fungi were inoculated onto sterile fresh sweet cherries, which were then stored at a range of temperatures (5, 10, 15, 20, 25, and 30 °C) to monitor fungal growth. The Baranyi model was used as the primary model to predict the growth of spoilage fungi. A square-root model and a linear regression equation were used as secondary models to describe the temperature dependence of the maximum specific growth rate (
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