Basic Protocols in Predictive Food Microbiology

Xehetasun bibliografikoak
Erakunde egilea: SpringerLink (Online service)
Beste egile batzuk: Alvarenga, Verônica Ortiz (Argitaratzailea)
Gaia:XII, 235 p. 48 illus., 35 illus. in color.
text
Hizkuntza:ingelesa
Argitaratua: New York, NY : Springer US : Imprint: Humana, 2023.
Edizioa:1st ed. 2023.
Saila:Methods and Protocols in Food Science,
Gaiak:
Sarrera elektronikoa:https://doi.org/10.1007/978-1-0716-3413-4
Formatua: Baliabide elektronikoa Liburua
Aurkibidea:
  • 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.