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- W4386576475 abstract "Advances in science and technology have led to the generation of data that require storage, processing, and interpretation. Predictive microbiology is a valuable tool that merges microbiology, mathematics, and statistics to improve food safety and quality from microbial growth, survival, or inactivation parameters. Predictive models seek to understand the effect of environmental conditions (pH, temperature, aw, etc.) on microbial responses by mathematical models. The predictive models are developed by laboratory tests combined with software to predict the microbial kinetic parameters under different conditions. Indeed, the models do not replace microbial controls but are an additional device for decision-making supported by data-driven. Thus, this chapter aims to provide an overview of predictive microbiology, covering fundamental concepts, methodologies, types of models, and applications. Moreover, this chapter highlights basic concepts that need to be considered while performing predictive modeling and the limitations of this tool." @default.
- W4386576475 created "2023-09-10" @default.
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- W4386576475 date "2023-01-01" @default.
- W4386576475 modified "2023-10-18" @default.
- W4386576475 title "Basic Concepts for Predictive Microbiology" @default.
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- W4386576475 doi "https://doi.org/10.1007/978-1-0716-3413-4_1" @default.
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