Abstract
A predictive food microbiological model is a mathematical representation of mechanisms that describe the growth, survival, inactivation, or biochemical process of an organism. It is used in the food industry to predict food pathogen growth and to help in the evaluation of food safety. In addition, it reduces the number of expensive and time-consuming laboratory experiments; however, adequate statistical analysis is a crucial step during all phases of model development and validation. This chapter is focused on the basic concept of mathematical modelling, which can be applied to estimate the effects of natural antimicrobials as food preservatives. The first section discusses the importance of modelling in food preservation, then we give a brief introduction to types of modelling, model development, and validation. The final section includes a review of the research in natural antimicrobial modelling.
| Original language | English |
|---|---|
| Title of host publication | Handbook of Natural Antimicrobials for Food Safety and Quality |
| Publisher | Elsevier Ltd. |
| Pages | 259-284 |
| Number of pages | 26 |
| ISBN (Electronic) | 9781782420422 |
| ISBN (Print) | 9781782420347 |
| DOIs | |
| Publication status | Published - 2015 |
Keywords
- Food preservatives
- Gompertz model
- Growth curve
- Mathematical models
- Natural antimicrobials