Basic Protocols in Predictive Food Microbiology
| 団体著者: | |
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| その他の著者: | |
| 要約: | XII, 235 p. 48 illus., 35 illus. in color. text |
| 言語: | 英語 |
| 出版事項: |
New York, NY :
Springer US : Imprint: Humana,
2023.
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| 版: | 1st ed. 2023. |
| シリーズ: | Methods and Protocols in Food Science,
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| 主題: | |
| オンライン･アクセス: | https://doi.org/10.1007/978-1-0716-3413-4 |
| フォーマット: | 電子媒体 図書 |
目次:
- Basic Concepts for Predictive Microbiology
- Methods of Inoculation and Quantification for Collecting Data on Microbial Responses in Foods
- The influence of food matrices on microbial growth
- Primary Predictive Models of Microbial Growth
- A protocol for predictive modeling of microbial inactivation based on experimental data
- Growth/ no-growth microbial models in food science
- Individual-cell-based Modeling for Microbial Growth and Inactivation using Time-lapse Microscopy
- Dynamic Models for Predictive Microbiology
- Mathematical simulation of the bio-protective effect of lactic acid bacteria on foodborne pathogens
- Acceptable Prediction Zones Method for Validation of Predictive Models for Foodborne Pathogens
- Predictive Modeling for Spoilage Microorganisms
- Quantitative PCR Technique for Predictive Models.