Document Detail


Predictive microbiology: towards the interface and beyond.
MedLine Citation:
PMID:  11934047     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
This review considers the concept and history of predictive microbiology and explores aspects of the modelling process including kinetic and probability modelling approaches. The "journey" traces the route from reproducible responses observed under close to optimal conditions for growth, through recognition and description of the increased variability in responses as conditions become progressively less favourable for growth, to defining combinations of factors at which growth ceases (the growth/no growth interface). Death kinetics patterns are presented which form a basis on which to begin the development of nonthermal death models. This will require incorporation of phenotypic, adaptive responses and may be influenced by factors such as the sequence in which environmental constraints are applied. A recurrent theme is that probability (stochastic) approaches are required to complement or replace kinetic models as the growth/no growth interface is approached and microorganisms adopt a survival rather than growth mode. Attention is also drawn to the interfaces of predictive microbiology with microbial physiology, information technology and food safety initiatives such as HACCP and risk assessment.
Authors:
T A McMeekin; J Olley; D A Ratkowsky; T Ross
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Publication Detail:
Type:  Journal Article; Research Support, Non-U.S. Gov't; Review    
Journal Detail:
Title:  International journal of food microbiology     Volume:  73     ISSN:  0168-1605     ISO Abbreviation:  Int. J. Food Microbiol.     Publication Date:  2002 Mar 
Date Detail:
Created Date:  2002-04-05     Completed Date:  2002-08-02     Revised Date:  2008-11-21    
Medline Journal Info:
Nlm Unique ID:  8412849     Medline TA:  Int J Food Microbiol     Country:  Netherlands    
Other Details:
Languages:  eng     Pagination:  395-407     Citation Subset:  IM    
Affiliation:
School of Agricultural Science, University of Tasmania, Hobart, Australia. Tom.McMeekin@utas.edu.au
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MeSH Terms
Descriptor/Qualifier:
Bacteria / growth & development*
Bacterial Physiological Phenomena
Consumer Product Safety
Food Microbiology / standards*
Humans
Kinetics
Models, Biological
Stochastic Processes

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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