McMeekin, T and Olley, J and Ratkowsky, D and Corkrey, R and Ross, T, Predictive microbiology theory and application: is it all about rates?, Food Control, 29, (2) pp. 290-299. ISSN 0956-7135 (2013) [Refereed Article]
Copyright 2012 Elsevier.
"Traditional" predictive microbiology is revisited with emphasis on temperature dependence. We interpret the temperature vs growth rate curve as comprising 11 regions, some well-recognised but others leading to new insights into physiological responses. In particular we are intrigued by a major disruption in the monotonic rate of inactivation at a temperature, slightly below the actual maximum temperature for growth. This non-intuitive behaviour was earlier reported by other research groups and here we propose that it results from a rapid metabolic switch from the relaxed growth state to the stringent survival state.
Finally, we envision the future of predictive microbiology in which models morph from empirical to mechanistic underpinned by microbial physiology and bioinformatics to grow into Systems Biology.
|Item Type:||Refereed Article|
|Keywords:||predictive microbiology, systems biology, biological rates, stringent response, persister cells, antibiotic-resistance, biocide-resistance, “source-sink”, growth rate, temperature response, bioinformatics, protein-folding-thermodynamics|
|Research Division:||Biological Sciences|
|Research Field:||Microbial ecology|
|Objective Group:||Public health (excl. specific population health)|
|Objective Field:||Food safety|
|UTAS Author:||McMeekin, T (Professor Thomas McMeekin)|
|UTAS Author:||Olley, J (Professor June Olley)|
|UTAS Author:||Ratkowsky, D (Dr David Ratkowsky)|
|UTAS Author:||Corkrey, R (Dr Ross Corkrey)|
|UTAS Author:||Ross, T (Professor Tom Ross)|
|Web of Science® Times Cited:||35|
|Deposited By:||Tasmanian Institute of Agriculture|
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