PRINCIPLES OF PREDICTIVE MODELING OF MICROBIAL-GROWTH

Citation
Ml. Stecchini et al., PRINCIPLES OF PREDICTIVE MODELING OF MICROBIAL-GROWTH, Industrie alimentari, 32(312), 1993, pp. 129-133
Citations number
NO
Categorie Soggetti
Food Science & Tenology
Journal title
ISSN journal
0019901X
Volume
32
Issue
312
Year of publication
1993
Pages
129 - 133
Database
ISI
SICI code
0019-901X(1993)32:312<129:POPMOM>2.0.ZU;2-M
Abstract
The traditional approach to determine the microbiological quality of a food is retrospective. An useful alternative is represented by the pr edictive microbiology where the effects of a combination of variables on the microbial response are discussed. A series of quite different p redictive models has been developed. Probabilistic models are appropri ate where the concern is toxin production. while kinetics models are s uitable for spoilage or food poisoning microorganisms. The former are models that predict the probability of a microbial response under give n conditions, while the latter are models that predict the rate of gro wth. Although the advantage of using models, practical applications in the industry are missing. This fact is probably due to the complex ma thematical operations connected to the use of models.