神圣不可 发表于 2025-3-23 12:50:00
Predictive Modeling for Spoilage Microorganisms, Microorganisms have a significant position in food spoilage. The type of microorganisms seen varies depending on factors such as the amount of water, temperature, acidity, carbohydrate, protein, or fat ratios of foods, packaging type, and oxygen levels. Temperature is the most important one for spoOffensive 发表于 2025-3-23 14:39:03
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Dynamic Models for Predictive Microbiology,is chapter details useful procedures applied to quantitatively model the growth and inactivation dynamics of microorganisms in food, including some case studies of the microbial dynamics under constant and variable conditions.agitate 发表于 2025-3-23 22:29:58
2662-950XMicrobiology .aims to be a foundation for future studies and to be a source of inspiration for new investigations in the field. .978-1-0716-3415-8978-1-0716-3413-4Series ISSN 2662-950X Series E-ISSN 2662-9518FUME 发表于 2025-3-24 05:02:41
Robert J. Elliott,Anatoliy V. Swishchukis chapter details useful procedures applied to quantitatively model the growth and inactivation dynamics of microorganisms in food, including some case studies of the microbial dynamics under constant and variable conditions.foodstuff 发表于 2025-3-24 08:54:57
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https://doi.org/10.1007/b109046s presents particular challenges when compared to experiments in laboratory media. The aim of this chapter is to provide the reader with an introduction and guidelines on measuring the influence of intrinsic food properties on microbial growth rates in real food matrices.apiary 发表于 2025-3-24 17:18:17
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https://doi.org/10.1007/978-3-030-99142-5r, more knowledge of the methodology to be followed is needed, as well as the computer software available to be used. This chapter describes the mathematical principles, procedure, and validation to develop a growth/no-growth model and its possible applications in the various areas of food science.保全 发表于 2025-3-24 23:54:48
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