Literature DB >> 8250562

Modeling the growth of Enterococcus faecium in bologna sausage.

B Zanoni1, C Garzaroli, S Anselmi, G Rondinini.   

Abstract

A study to set up mathematical models which allow the prediction of Enterococcus faecium growth in bologna sausage (mortadella) was carried out. Growth curves were obtained at different temperatures (5, 6, 12, 15, 25, 32, 35, 37, 42, 46, 50, 52, and 55 degrees C). The Gompertz and logistic models, modified by Zwietering, were found to fit with the representation of experimental curves. The variations of the parameters A (i.e., the asymptotic value reached by the relative population during the stationary growth phase), mu m (i.e., the maximum specific growth rate during the exponential growth phase), and lambda (i.e., the lag time) with temperature were then modeled. The variation of A with temperature can be described by an empirical polynomial model, whereas the variation of mu m and lambda can be described by the Ratkowsky model modified by Zwietering and the Adair model, respectively. Data processing of these models has shown that the minimum growth temperature for E. faecium is 0.1 degrees C, the maximum growth temperature is 53.4 degrees C, and the optimal growth temperature is 42 to 45 degrees C.

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Year:  1993        PMID: 8250562      PMCID: PMC182467          DOI: 10.1128/aem.59.10.3411-3417.1993

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


  10 in total

1.  Evaluation of data transformations used with the square root and schoolfield models for predicting bacterial growth rate.

Authors:  S A Alber; D W Schaffner
Journal:  Appl Environ Microbiol       Date:  1992-10       Impact factor: 4.792

2.  Modeling of bacterial growth as a function of temperature.

Authors:  M H Zwietering; J T de Koos; B E Hasenack; J C de Witt; K van't Riet
Journal:  Appl Environ Microbiol       Date:  1991-04       Impact factor: 4.792

3.  Modeling of the bacterial growth curve.

Authors:  M H Zwietering; I Jongenburger; F M Rombouts; K van 't Riet
Journal:  Appl Environ Microbiol       Date:  1990-06       Impact factor: 4.792

4.  The effect of incubation temperature and inoculum size on growth of salmonellae in minced beef.

Authors:  B M Mackey; A L Kerridge
Journal:  Int J Food Microbiol       Date:  1988-02       Impact factor: 5.277

5.  Ropy slime formation in vacuum-packed cooked meat products caused by homofermentative lactobacilli and a Leuconostoc species.

Authors:  H Korkeala; T Suortti; P Mäkelä
Journal:  Int J Food Microbiol       Date:  1988-12-31       Impact factor: 5.277

6.  Non-linear regression of biological temperature-dependent rate models based on absolute reaction-rate theory.

Authors:  R M Schoolfield; P J Sharpe; C E Magnuson
Journal:  J Theor Biol       Date:  1981-02-21       Impact factor: 2.691

7.  Model for bacterial culture growth rate throughout the entire biokinetic temperature range.

Authors:  D A Ratkowsky; R K Lowry; T A McMeekin; A N Stokes; R E Chandler
Journal:  J Bacteriol       Date:  1983-06       Impact factor: 3.490

8.  Relationship between temperature and growth rate of bacterial cultures.

Authors:  D A Ratkowsky; J Olley; T A McMeekin; A Ball
Journal:  J Bacteriol       Date:  1982-01       Impact factor: 3.490

9.  The effect of sodium chloride and temperature on the rate and extent of growth of Clostridium botulinum type A in pasteurized pork slurry.

Authors:  A M Gibson; N Bratchell; T A Roberts
Journal:  J Appl Bacteriol       Date:  1987-06

10.  Predicting microbial growth: growth responses of salmonellae in a laboratory medium as affected by pH, sodium chloride and storage temperature.

Authors:  A M Gibson; N Bratchell; T A Roberts
Journal:  Int J Food Microbiol       Date:  1988-03       Impact factor: 5.277

  10 in total

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