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Titlebook: Basic Protocols in Predictive Food Microbiology; Ver?nica Ortiz Alvarenga Book 2023 The Editor(s) (if applicable) and The Author(s), under

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樓主: choleric
21#
發(fā)表于 2025-3-25 03:34:41 | 只看該作者
Primary Predictive Models of Microbial Growth,criticism that food quality control based on the challenge tests of the final products is expensive, labor-intensive, and time-consuming. This chapter aims to develop a practical protocol on how to apply growth models to microbial behavior.
22#
發(fā)表于 2025-3-25 09:18:58 | 只看該作者
Growth/No-Growth Microbial Models in Food Science,r, 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.
23#
發(fā)表于 2025-3-25 11:51:14 | 只看該作者
24#
發(fā)表于 2025-3-25 16:28:24 | 只看該作者
25#
發(fā)表于 2025-3-25 22:57:14 | 只看該作者
Predictive Modeling for Spoilage Microorganisms,ilage. In this section, a basic organism that causes food spoilage in different food groups, . spp., has been specifically reviewed. General modeling of microbial degradation and basic principles of microbial experiments are also given in that part.
26#
發(fā)表于 2025-3-26 02:53:19 | 只看該作者
27#
發(fā)表于 2025-3-26 07:14:10 | 只看該作者
28#
發(fā)表于 2025-3-26 09:07:05 | 只看該作者
Ramaprasad Bhar,Shigeyuki Hamoris, 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.
29#
發(fā)表于 2025-3-26 15:57:00 | 只看該作者
30#
發(fā)表于 2025-3-26 19:38:19 | 只看該作者
Basic Concepts for Predictive Microbiology,s, 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.
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