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Advanced Quantitative Microbiology for Foods and Biosystems

  • Livre Relié
  • 456 Nombre de pages
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Presenting a fresh view of the quantitative modeling of microbial growth and inactivation patterns in food, water, and biosystems,... Lire la suite
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Presenting a fresh view of the quantitative modeling of microbial growth and inactivation patterns in food, water, and biosystems, this book describes various models for estimating microbial growth and survival. It includes numerous illustrations, equations, tables, and figures.

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Presenting a novel view of the quantitative modeling of microbial growth and inactivation patterns in food, water, and biosystems, this book describes new models and calculation methods that enable estimation of microbial growth and survival under a variety of conditions. The author provides coverage of both traditional and alternative models of thermal and non-thermal inactivation. The volume includes chapters on microbial dose response, interpretation of irregular count records and estimation of the frequencies of future outbursts. Featuring numerous illustrations, equations, tables and figures, Advanced Quantitative Microbiology for Foods and Biosystems: Models for Predicting Growth and Inactivation makes a valuable reference tool for food and water microbiologists, food technologists and engineers, government officials, public health specialists, academicians and researchers.


Isothermal Microbial Heat Inactivation

Primary Models the Traditional Approach
The Survival Curve as a Cumulative Form of the Heat Distribution Resistances
Secondary Models

Nonisothermal Heat Inactivation

The Traditional Approach
The Proposed Alternative
Nonisothermal Weibuillian Survival
Non Weibullian Survival Models
Experimental Verification of the Model
Heat-Induced Chemical and Physical Changes
Generating Nonisothermal Heat Inactivation Curves with Difference Equations in Real Time (Incremental Method)
The Difference Equation of the WeibullianLog Logistic
Non-isothermal Survival Model
Non Weibullian Survival Curves
Comparison between the Continuous and
Incremental Models
Estimation of Microbial Survival Parameters from Nonisothermal Inactivation Data
The Linear Case
The Nonlinear Case
Concluding Remarks
Isothermal Inactivation with Stable and Dissipating Chemical Agents
Chemical Inactivation under Constant Agent Concentration
Microbial Inactivation with a Dissipating Chemical Agent
Estimation of Survival Parameters from Data Obtained during Treatments with a Dissipating Agent
Discrete Version of the Survival Model
High CO2 and Ultrahigh Hydrostatic Pressure Preservation
Microbial Inactivation under High CO2 Pressure
Ultrahigh Pressure
How to Use the Model

DoseResponse Curves

The Fermi (Logistic) Distribution
The Weibull Distribution
Mixed Populations
Isothermal and Nonisothermal Bacterial Growth in a Closed Habitat
The Traditional Models
The LogisticFermi Combination Model
Simulation of Non-isothermal Growth Patterns
Using the LogisticFermi Model
Prediction of Non-isothermal Growth Patterns from Isothermal Growth Data
Interpretation of Fluctuating Microbial Count Records in Foods and Water
Microbial Quality Control in a Food Plant
The Origins and Nature of Microbial Count Fluctuations
Asymmetry between Life and Death
Estimating the Frequency of Future Outbursts the Principle
Testing Counts Independence
Uneven Rounding and Record De-rounding
Choosing a Distribution Function
Extinction and Absence
Special Patterns
Estimating Frequencies of Future Microbial High Counts or Outbursts in Foods and Water Case Studies
Microbial Counts in a Cheese-Based Snack
Rating Raw Milk Sources
Frozen Foods
E. coli in Wash Water of a Poultry Plant
Fecal Bacteria in Lake Kinneret
Characterization of Truncated Count Distributions
Issues of Concern

A Probabilistic Model of Historic Epidemics

The Model
Mortality from Smallpox and Measles in 18th Century England
Potential Uses of the Model in Contemporary Epidemiology
Aperiodic Microbial Outbursts with Variable Duration
Microbial Fluctuations in a Water Reservoir
A Model of Pathogen Outbursts in Foods
Other Potential Applications of the Model
Outstanding Issues and Concluding Remarks
Inactivation Models
Growth Models
Fluctuating Records in Water and Foods
A Few Last Remarks
Freeware Index

Informations sur le produit

Titre: Advanced Quantitative Microbiology for Foods and Biosystems
Sous-titre: Models for Predicting Growth and Inactivation
Code EAN: 9780849336454
ISBN: 978-0-8493-3645-4
Format: Livre Relié
Editeur: Taylor and Francis
Genre: Biologie
nombre de pages: 456
Poids: 748g
Taille: H229mm x B152mm
Année: 2006