Skip to Content

Description

The first state-of-the-art review of this dynamic field in a decade, Modeling Microbial Responses in Foods provides the latest information on techniques in mathematical modeling of microbial growth and survival. The comprehensive coverage includes basic approaches such as improvements in the development of primary and secondary models, statistical fitting strategies, and novel data collection methods.

An international team of experts explore important developing areas, including specific applications, challenges in applying models to foods, variability and uncertainty, and new modeling strategies. The authors present detailed descriptions of non-linear regression fitting, methods, approaches relevant to 'real world' situations, and extensive applications of predictive models. They conclude by highlighting the strengths and weaknesses in the field and areas for future work, and attempt to resolve some of the outstanding conflicts.

The book includes strategies for combining databases, improving researcher networks, and standardization of applications packages. Providing the uninitiated with enough information to begin developing their own models, Modeling Microbial Responses in Foods covers all aspects of growth and survival modeling from the primary stage of gathering data to the implementation of final models in appropriate delivery systems.

Contents

EXPERIMENTAL DESIGN AND DATA COLLECTION, M. Rasch

Experimental Design

Data Collection

Conclusion

References

PRIMARY MODELS, R.C. McKellar and X. Lu

Growth Models

Survival Models

References

SECONDARY MODELS, T. Ross and P. Dalgaard

Introduction

Secondary Models for Growth Rate and Lag Time

Secondary Models for Inactivation

Probability Models

Characterization of Environmental Parameters Affecting Microbial Kinetics in Food

References

MODEL FITTING AND UNCERTAINTY, D.A. Ratkowsky

Overview

Model Fitting

Uncertainty in Lag Times, Generation Times, and Its Consequences

Epilogue

Appendix

References

CHALLENGE OF FOOD AND THE ENVIRONMENT, T. Brocklehurst

Role of Food Heterogeneity

Modeling the Food Environment

Hurdle Concept

Competition with Other Microorganisms

Adaptation and Injury

Validation in Foods

References

SOFTWARE PROGRAMS TO INCREASE THE UTILITY OF PREDICTIVE MICROBIOLOGY INFORMATION, M. Tamplin, J. Baranyi, and G. Paoli

Introduction

Model Interfaces

Databases

Expert Systems

Conclusions

References

MODELING MICROBIAL DYNAMICS UNDER TIME-VARYING CONDITIONS, K. Bernaerts, E. Dens, K. Vereecken, A. Geeraerd, F. Devlieghere, J. Debevere, and J.F. Van Impe

Introduction

General Dynamic Modeling Methodology

Example I: Individual-Based Modeling of Microbial Lag

Example II. Modeling Microbial Interaction with Product Inhibition

Conclusions

Acknowledgments

References

PREDICTIVE MICROBIOLOGY IN QUANTITATIVE RISK ASSESSMENT, A.M. Lammerding and R.C. McKellar

Introduction

Assessing Microbial Risks

Role of Predictive Microbiology in QRA

Scope of Risk Assessments

Process Risk Modeling

Examples of Risk Modeling

Modifying Risk: Concentration vs. Prevalence

What is the Right Model to Use?

Future Directions

Conclusions

References

MODELING THE HISTORY EFFECT ON MICROBIAL GROWTH AND SURVIVAL: DETERMINISTIC AND STOCHASTIC APPROACHES, J. Baranyi and C. Pin

Introduction

Modeling the History Effect at Population Level (Deterministic Modeling)

Modeling the History Effect at Single-Cell Level (Stochastic Modeling)

Concluding Remarks

Acknowledgment References

MODELS - WHAT COMES AFTER THE NEXT GENERATION? D.W. Schaffner

Introduction

Cross-Contamination

Inoculum Size Modeling

Cross-Contamination and Inoculum Size

Summary

References

PREDICTIVE MYCOLOGY, P. Dantigny

Introduction

Concerns

Mold Specificities

Models

Perspectives

References

AN ESSAY ON THE UNREALIZED POTENTIAL OF PREDICTIVE MICROBIOLOGY, T. McMeekin

Introduction

A Short History and the Philosophy of Predictive Microbiology

The Basics of Predictive Modeling

Addressing Concerns in Predictive Modeling

Modeling Fungal Growth

Application of Predictive Microbiology

Concluding Remarks

Acknowledgments

References

Index

Related Subjects

  1. Food Microbiology

Name: Modeling Microbial Responses in Food (Hardback)CRC Press 
Description: Edited by Robin C. McKellar, Xuewen LuSeries Editor: Fergus M. ClydesdaleContributors: Mark L. Tamplin, Johan M. Debevere, Donald W. Schaffner, Carmen Pin, Jozsef Baranyi, David A. Ratkowsky, Philippe Dantigny, Maria Rasch, T. Ross, Tim Brocklehurst, V.F. Van Impe, T. A. McMeekin, Kristel Bernaerts, Els Dens, Annemie Geeraerd, Frank Devlieghere, Karen Vereecken, P. Dalgaard, Greg Paoli, Anna M. Lammerding. The first state-of-the-art review of this dynamic field in a decade, Modeling Microbial Responses in Foods provides the latest information on techniques in mathematical modeling of microbial growth and survival. The comprehensive coverage includes basic...
Categories: Food Microbiology