Index page for: Advanced Quantitative Microbiology for Foods and Biosystems: Models for Predicting Growth and Inactivation

Table of Contents ISOTHERMAL MICROBIAL HEAT INACTIVATIONPrimary Models - the Traditional Approach The Survival Curve as a Cumulative Form of the Heat Distribution Resistances Secondary ModelsNONISOTHERMAL HEAT INACTIVATION The Traditional Approach The Proposed AlternativeNonisothermal Weibuillian Survival Non Weibullian Survival ModelsExperimental Verification of the ModelHeat-Induced Chemical and Physical Changes GENERATING NONISOTHERMAL HEAT INACTIVATION CURVES WITH DIFFERENCE EQUATIONS IN REAL TIME (INCREMENTAL METHOD)The Difference Equation of the Weibullian-Log LogisticNon-isothermal Survival ModelNon Weibullian Survival Curves Comparison between the Continuous andIncremental ModelsESTIMATION OF MICROBIAL SURVIVAL PARAMETERS FROM NONISOTHERMAL INACTIVATION DATAThe Linear Case The Nonlinear CaseConcluding RemarksISOTHERMAL 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 ModelHIGH CO2 AND ULTRAHIGH HYDROSTATIC PRESSURE PRESERVATION Microbial Inactivation under High CO2 Pressure Ultrahigh Pressure How to Use the Model DOSE-RESPONSE CURVESThe Fermi (Logistic) Distribution The Weibull Distribution Mixed PopulationsISOTHERMAL AND NONISOTHERMAL BACTERIAL GROWTH IN A CLOSED HABITATThe Traditional ModelsThe Logistic-Fermi Combination ModelSimulation of Non-isothermal Growth PatternsUsing the Logistic-Fermi ModelPrediction of Non-isothermal Growth Patterns from Isothermal Growth DataINTERPRETATION OF FLUCTUATING MICROBIAL COUNT RECORDS IN FOODS AND WATERMicrobial 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 PrincipleTesting Counts Independence Uneven Rounding and Record De-roundingChoosing a Distribution Function Extinction and AbsenceSpecial Patterns ESTIMATING FREQUENCIES OF FUTURE MICROBIAL HIGH COUNTS OR OUTBURSTS IN FOODS AND WATER - CASE STUDIESMicrobial Counts in a Cheese-Based Snack Rating Raw Milk Sources Frozen Foods E. coli in Wash Water of a Poultry PlantFecal Bacteria in Lake KinneretCharacterization of Truncated Count DistributionsIssues of ConcernA PROBABILISTIC MODEL OF HISTORIC EPIDEMICS The Model Mortality from Smallpox and Measles in 18th Century EnglandPotential Uses of the Model in Contemporary Epidemiology APERIODIC MICROBIAL OUTBURSTS WITH VARIABLE DURATIONMicrobial Fluctuations in a Water Reservoir A Model of Pathogen Outbursts in Foods Other Potential Applications of the Model OUTSTANDING ISSUES AND CONCLUDING REMARKSInactivation ModelsGrowth Models Fluctuating Records in Water and Foods A Few Last Remarks FreewareIndex