Next Article in Journal
Analysis of Growth Inhibition and Metabolism of Hydroxycinnamic Acids by Brewing and Spoilage Strains of Brettanomyces Yeast
Next Article in Special Issue
Wine Traceability: A Data Model and Prototype in Albanian Context
Previous Article in Journal
Lutein and Brain Function
Previous Article in Special Issue
Optimising the Encapsulation of an Aqueous Bitter Melon Extract by Spray-Drying
Article Menu

Export Article

Open AccessReview
Foods 2015, 4(4), 565-580; doi:10.3390/foods4040565

A Focus on the Death Kinetics in Predictive Microbiology: Benefits and Limits of the Most Important Models and Some Tools Dealing with Their Application in Foods

Department of the Science of Agriculture, Food and Environment, University of Foggia, Via Napoli 25, 71122 Foggia, Italy
These authors contributed equally to this work.
Author to whom correspondence should be addressed.
Academic Editor: Wijitha Senadeera
Received: 28 July 2015 / Revised: 29 September 2015 / Accepted: 6 October 2015 / Published: 12 October 2015
(This article belongs to the Special Issue Food Modelling)
View Full-Text   |   Download PDF [2159 KB, uploaded 12 October 2015]   |  


Predictive Microbiology (PM) deals with the mathematical modeling of microorganisms in foods for different applications (challenge test, evaluation of microbiological shelf life, prediction of the microbiological hazards connected with foods, etc.). An interesting and important part of PM focuses on the use of primary functions to fit data of death kinetics of spoilage, pathogenic, and useful microorganisms following thermal or non-conventional treatments and can also be used to model survivors throughout storage. The main topic of this review is a focus on the most important death models (negative Gompertz, log-linear, shoulder/tail, Weibull, Weibull+tail, re-parameterized Weibull, biphasic approach, etc.) to pinpoint the benefits and the limits of each model; in addition, the last section addresses the most important tools for the use of death kinetics and predictive microbiology in a user-friendly way. View Full-Text
Keywords: inactivation kinetics; use; drawbacks; software inactivation kinetics; use; drawbacks; software

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

Scifeed alert for new publications

Never miss any articles matching your research from any publisher
  • Get alerts for new papers matching your research
  • Find out the new papers from selected authors
  • Updated daily for 49'000+ journals and 6000+ publishers
  • Define your Scifeed now

SciFeed Share & Cite This Article

MDPI and ACS Style

Bevilacqua, A.; Speranza, B.; Sinigaglia, M.; Corbo, M.R. A Focus on the Death Kinetics in Predictive Microbiology: Benefits and Limits of the Most Important Models and Some Tools Dealing with Their Application in Foods. Foods 2015, 4, 565-580.

Show more citation formats Show less citations formats

Related Articles

Article Metrics

Article Access Statistics



[Return to top]
Foods EISSN 2304-8158 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top