Basic Protocols in Predictive Food Microbiology

Buch | Softcover

235 Seiten

2024 | 2023 ed.
Springer-Verlag New York Inc.
978-1-0716-3415-8 (ISBN)

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This volume details well-established protocols and procedures being used by laboratories and the industry to study Predictive Microbiology in Foods. Chapters guide readers through methods to design and collect data to generate predictive models, the development of a predictive model, approaches the behavior mainly, and experiments in predictive microbiology. Written in the format of the Methods and Protocols in Food Science series, chapters list necessary materials and methods for readily reproducible protocols.

Authoritative and cutting-edge, Predictive Food Microbiology aims to be a foundation for future studies and to be a source of inspiration for new investigations in the field.

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.

Erscheinungsdatum	21.09.2024
Reihe/Serie	Methods and Protocols in Food Science
Zusatzinfo	35 Illustrations, color; 13 Illustrations, black and white; XII, 235 p. 48 illus., 35 illus. in color.
Verlagsort	New York, NY
Sprache	englisch
Maße	178 x 254 mm
Themenwelt	Technik ► Lebensmitteltechnologie
Schlagworte	microorganisms • pathogenic bacteria • Predictive microbiology • predictive models • Single Cell Models
ISBN-10	1-0716-3415-1 / 1071634151
ISBN-13	978-1-0716-3415-8 / 9781071634158
Zustand	Neuware