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Advanced quantitative microbiology for foods and biosystems. Models for predicting growth and inactivation.

Titre :	Advanced quantitative microbiology for foods and biosystems. Models for predicting growth and inactivation. Ajouter au panier
Auteur(s) :	Micha Peleg
Type de document :	Livre
Sujets :	MICROORGANISME ; PRODUIT ALIMENTAIRE ; MODELE MATHEMATIQUE ; CONSERVATION ; DESINFECTION ; TRAITEMENT THERMIQUE ; SALMONELLA ; HAUTE PRESSION ; EAU ; LISTERIA ; AGENT DE CONSERVATION
Editeur(s) :	Boca Raton : CRC Press
Date de publication :	2006
Collection :	CRC series in contemporary food science
Format :	417 p.
Note(s) :	Bibliographie Illustrations Index
Table des matières :	1 Isothermal Microbial Heat Inactivation Primary Models - the Traditional Approach The First-Order Kinetics and the D Value The "Thermal Death Time" Biphasic and Multiexponential Decay Models and Their Limitations The Logistic Models Concluding Remarks to This Section The Survival Curve as a Cumulative Form of the Heat Distribution Resistances The Weibull Distribution Interpretation of the Concavity Direction Th[...] 1 Isothermal Microbial Heat Inactivation Primary Models - the Traditional Approach The First-Order Kinetics and the D Value The "Thermal Death Time" Biphasic and Multiexponential Decay Models and Their Limitations The Logistic Models Concluding Remarks to This Section The Survival Curve as a Cumulative Form of the Heat Distribution Resistances The Weibull Distribution Interpretation of the Concavity Direction The Fermi (Logistic) Distribution Function The Activation shoulder Estimation of the Number of Recoverable Spores Sigmoid and Other Kinds of Semilogarithmic Survival Curves Sigmoid Curves Residual Survival (Strong "Tailing") Can an Absolute Thermal Death Time Exist? Secondary Models The "z" Value and the Arrhenius Equation The Log Logistic Model A Discrete b(T) vs. T Other Empirical Models 2 Nonisothermal Heat Inactivation The Traditional Approach The F0 Value and Its Limitations The Proposed Alternative Nonisothermal Weibuillian Survival The Rate Model Heating and Cooling Simulation of Heating Curves by Empirical Models Simulated Survival Curves for Processes with Different Target Temperature and Holding Durations Temperate Oscillations Discontinuous Temperature Profiles The Special Case of Log Linear Isothermal Survival Non-Weibullian Survival Models Logistic (Fermian) Survival Extreme Tailing Sigmoid Survival Curves Isothermal Survival Model's Equation with No Analytic Inverse Independence of the Calculated Nonisothermal Survival Curve of the Chosen Survival Model Experimental Verification of the Model The Isothermal and Nonisothermal Inactivation Patterns of L. monocytogenes The Isothermal and Nonisothermal Inactivation of Salmonella Isothermal and Nonisothermal Survival Curves of B. sporothermodurans Spores in Soups The Isothermal and Nonisothermal Inactivation of E. coli Heat-Induced Chemical and Physical Changes 3 Generating Nonisothermal Heat Inactivation Curves with Difference Equations in Real Time (Incremental Method) The Difference Equation of the Weibullian-Log Logistic Nonisothermal Survival Model Non-Weibullian Survival Curves Comparison between the Continuous and IncrementaI Models 4 Estimation of Microbial Survival Parameters from Nonisothermal Inactivation Data The Linear Case Linear Survival at Constant Rate Heating Linear Survival at Varying Heating Rate The Nonlinear Case Weibullian-Power Law Inactivation at Arbitrary Heating Rate History Testing the Concept with Simulated Data Testing the Method with Salmonella Survival Data Salmonella in a Growth Medium Salmonella in Minced Chicken Meat Concluding Remarks 5 Isothermal Inactivation with Stable and Dissipating Chemical Agents Chemical Inactivation under "Constant" Agent Concentration Microbial Inactivation with a Dissipating Chemical Agent Traditional Models Alternative General Model Dissipation and Inactivation Monotonic Agent Dissipation Agent Dissipation with Regular and Random Oscillations Agent Replenishment Estimation of Survival Parameters from Data Obtained during Treatments with a Dissipating Agent Demonstrations of the Procedure with Published Data Discrete Version of Survival Model 6 High CO2 and Ultrahigh Hydrostatic Pressure Preservation Microbial Inactivation under High CO2 Pressure Effect of Pressure Level and Treatment Duration Is the Pressurization Rate a Factor? Ultrahigh Pressure Ultrahigh-Pressure Treatment in a Perfectly Insulated Vessel Treatment in an Uninsulated Vesse How to Use the Model 7 Dose-Response Curves The Fermi (Logistic) Distribution The Weibull Distribution Mixed Populations 8 Isothermal and Nonisothermal Bacterial Growth in a Closed Habitat The Traditional Models The Logistic Equation and the Logistic Function The Gompertz, Baranyi and Roberts, and Other Growth Models The Lag Time The Logistic-Fermi Combination Model Simulation of Nonisothermal Growth Pattern Using the Logistic-Fermi Model Monotonic Temperature Histories Regular and Random Temperature Oscillations Prediction of Nonisothermal Growth Patterns from Isothermal Growth Data The Growth of Pseudomonas in Refrigerated Fish The Growth of E. coli 9 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 the Counts' Independence Uneven Rounding and Record Derounding Choosing a Distribution Function Nonparametric Distributions Parametric Distributions Calculation of a Distribution's Parameters The Q-Q Plot Truncated Distributions Exinction and Absence Special Patterns Populations with a Detection Threshold Level Records of Positive/Negative Entries Records with a True or Suspected Trend or Periodicity 10 Estimating Frequencies of Future Microbial High Counts or Outbursts in Foods and Water – Case Studies Microbial Counts in a Cheese-Based Snack Analysis of Raw Records Analysis of Normalized Data Rating Raw Milk Sources Frozen Foods E. coli in Wash Water of a Poultry Plant Fecal Bacteria in Lake Kinneret Characterization of Count Distributions Nonlogarithmic Transformations of the Counts Finding a Truncated Distribution Distribution of Fecal Bacteria in the Lake's Water Estimating the Frequency of Future Outbursts Issues of Concern 11 A Probabilistic Model of Historic Epidemics The Model Mortality from Smallpox and Measles in 18th Century England Smallpox Measles Potential Uses of the Model 12 Aperiodic Microbial Outbursts with Variable Duration Microbial Fluctuations in a Water Reservoir Determination of Model Parameters Fluctuation Parameters of the Massachusetts Water Reservoir Validation of the Threshold Estimation Method A Model of Pathogen Outbursts in Foods Other Potential Applications of the Model 13 Outstanding Issues and Concluding Remarks Inactivation Models Determination of Survival Parameters from Inactivation Curves Determined under Nonisothermal Conditions Modeling and Predicting Survival Patterns when Several Influential Factors Vary Simultaneously Non-Weibullian Inactivation Patterns Systems in which the Inoculum Size May Affect Inactivation Robustness and Sensitivity Relationship between Survival Parameters and Inactivation Mechanism Alternative Inactivation Technologies Growth Models Terminology Growth under Changing Conditions Growth under Arbitrary Conditions Simultaneous Growth and Inactivation or Inactivation and Growth Fluctuating Records in Water and Foods Censored Data Sampling at Different Locations Risk Assessment A Few Last Remarks References Freeware Index
Langue(s) :	Anglais
Identifiant :	978-0-8493-3645-4
Lien vers la notice :	https://infodoc.agroparistech.fr/index.php?lvl=notice_display&id=68266

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