Literature DB >> 17293511

New mathematical modeling approach for predicting microbial inactivation by high hydrostatic pressure.

Bernadette Klotz1, D Leo Pyle, Bernard M Mackey.   

Abstract

A new primary model based on a thermodynamically consistent first-order kinetic approach was constructed to describe non-log-linear inactivation kinetics of pressure-treated bacteria. The model assumes a first-order process in which the specific inactivation rate changes inversely with the square root of time. The model gave reasonable fits to experimental data over six to seven orders of magnitude. It was also tested on 138 published data sets and provided good fits in about 70% of cases in which the shape of the curve followed the typical convex upward form. In the remainder of published examples, curves contained additional shoulder regions or extended tail regions. Curves with shoulders could be accommodated by including an additional time delay parameter and curves with tails shoulders could be accommodated by omitting points in the tail beyond the point at which survival levels remained more or less constant. The model parameters varied regularly with pressure, which may reflect a genuine mechanistic basis for the model. This property also allowed the calculation of (a) parameters analogous to the decimal reduction time D and z, the temperature increase needed to change the D value by a factor of 10, in thermal processing, and hence the processing conditions needed to attain a desired level of inactivation; and (b) the apparent thermodynamic volumes of activation associated with the lethal events. The hypothesis that inactivation rates changed as a function of the square root of time would be consistent with a diffusion-limited process.

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Year:  2007        PMID: 17293511      PMCID: PMC1855581          DOI: 10.1128/AEM.02211-06

Source DB:  PubMed          Journal:  Appl Environ Microbiol        ISSN: 0099-2240            Impact factor:   4.792


  19 in total

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Authors:  Martinus A J S van Boekel
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2.  Role of membrane fluidity in pressure resistance of Escherichia coli NCTC 8164.

Authors:  M A Casadei; P Mañas; G Niven; E Needs; B M Mackey
Journal:  Appl Environ Microbiol       Date:  2002-12       Impact factor: 4.792

Review 3.  Nonthermal preservation of foods using combined processing techniques.

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Journal:  Crit Rev Food Sci Nutr       Date:  2003       Impact factor: 11.176

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Journal:  J Hyg (Lond)       Date:  1910-08

5.  The significance of the variation in shape of time-survivor curves.

Authors:  E R Withell
Journal:  J Hyg (Lond)       Date:  1942-04

6.  Modeling the pressure inactivation dynamics of Escherichia coli.

Authors:  K Yamamoto; M Matsubara; S Kawasaki; M L Bari; S Kawamoto
Journal:  Braz J Med Biol Res       Date:  2005-07-30       Impact factor: 2.590

7.  Indices for performance evaluation of predictive models in food microbiology.

Authors:  T Ross
Journal:  J Appl Bacteriol       Date:  1996-11

8.  A simple mathematical model of the thermal death of microorganisms.

Authors:  S McKee; G W Gould
Journal:  Bull Math Biol       Date:  1988       Impact factor: 1.758

9.  Inactivation of Listeria innocua inoculated in liquid whole egg by high hydrostatic pressure.

Authors:  E Ponce; R Pla; M Mor-Mur; R Gervilla; B Guamis
Journal:  J Food Prot       Date:  1998-01       Impact factor: 2.077

10.  High-pressure destruction kinetics of Listeria monocytogenes on pork.

Authors:  D M Mussa; H S Ramaswamy; J P Smith
Journal:  J Food Prot       Date:  1999-01       Impact factor: 2.077

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  4 in total

1.  Biological approach to modeling of Staphylococcus aureus high-hydrostatic-pressure inactivation kinetics.

Authors:  Guillermo Cebrián; Chris W Michiels; Pilar Mañas; Santiago Condón
Journal:  Appl Environ Microbiol       Date:  2010-09-03       Impact factor: 4.792

Review 2.  Microbial inactivation by high pressure processing: principle, mechanism and factors responsible.

Authors:  Rachna Sehrawat; Barjinder Pal Kaur; Prabhat K Nema; Somya Tewari; Lokesh Kumar
Journal:  Food Sci Biotechnol       Date:  2020-10-06       Impact factor: 2.391

3.  Determination of thermal inactivation kinetics of hepatitis A virus in blue mussel (Mytilus edulis) homogenate.

Authors:  Hayriye Bozkurt; Doris H D'Souza; P Michael Davidson
Journal:  Appl Environ Microbiol       Date:  2014-03-14       Impact factor: 4.792

4.  A matter of life or death: modeling DNA damage and repair in bacteria.

Authors:  Jens Karschau; Camila de Almeida; Morgiane C Richard; Samantha Miller; Ian R Booth; Celso Grebogi; Alessandro P S de Moura
Journal:  Biophys J       Date:  2011-02-16       Impact factor: 4.033

  4 in total

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