Document Detail


Estimating non-isothermal bacterial growth in foods from isothermal experimental data.
MedLine Citation:
PMID:  15960679     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
AIM: To develop a mathematical method to estimate non-isothermal microbial growth curves in foods from experiments performed under isothermal conditions and demonstrate the method's applicability with published growth data. METHODS AND RESULTS: Published isothermal growth curves of Pseudomonas spp. in refrigerated fish at 0-8 degrees C and Escherichia coli 1952 in a nutritional broth at 27.6-36 degrees C were fitted with two different three-parameter 'primary models' and the temperature dependence of their parameters was fitted by ad hoc empirical 'secondary models'. These were used to generate non-isothermal growth curves by solving, numerically, a differential equation derived on the premise that the momentary non-isothermal growth rate is the isothermal rate at the momentary temperature, at a time that corresponds to the momentary growth level of the population. The predicted non-isothermal growth curves were in agreement with the reported experimental ones and, as expected, the quality of the predictions did not depend on the 'primary model' chosen for the calculation. CONCLUSIONS: A common type of sigmoid growth curve can be adequately described by three-parameter 'primary models'. At least in the two systems examined, these could be used to predict growth patterns under a variety of continuous and discontinuous non-isothermal temperature profiles. SIGNIFICANCE AND IMPACT OF THE STUDY: The described mathematical method whenever validated experimentally will enable the simulation of the microbial quality of stored and transported foods under a large variety of existing or contemplated commercial temperature histories.
Authors:
M G Corradini; M Peleg
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Publication Detail:
Type:  Journal Article    
Journal Detail:
Title:  Journal of applied microbiology     Volume:  99     ISSN:  1364-5072     ISO Abbreviation:  J. Appl. Microbiol.     Publication Date:  2005  
Date Detail:
Created Date:  2005-06-17     Completed Date:  2005-10-11     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  9706280     Medline TA:  J Appl Microbiol     Country:  England    
Other Details:
Languages:  eng     Pagination:  187-200     Citation Subset:  IM    
Affiliation:
Department of Food Science, Chenoweth Laboratory, University of Massachusetts, Amherst, MA 01003, USA.
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MeSH Terms
Descriptor/Qualifier:
Animals
Escherichia coli / growth & development*
Fishes / microbiology
Food Microbiology*
Logistic Models
Mathematics
Pseudomonas / growth & development*
Refrigeration
Temperature

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


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