Literature DB >> 16534932

Convenient Model To Describe the Combined Effects of Temperature and pH on Microbial Growth.

L Rosso, J R Lobry, S Bajard, J P Flandrois.   

Abstract

A new model in which the maximum microbial specific growth rate ((mu)(infmax)) is described as a function of pH and temperature is presented. The seven parameters of this model are the three cardinal pH parameters (the pH below which no growth occurs, the pH above which no growth occurs, and the pH at which the (mu)(infmax) is optimal), the three cardinal temperature parameters (the temperature below which no growth occurs, the temperature above which no growth occurs, and the temperature at which the (mu)(infmax) is optimal), and the specific growth rate at the optimum temperature and optimum pH. The model is a combination of the cardinal temperature model with inflection and the cardinal pH model (CPM). The CPM was compared with the models of Wijtzes et al. and Zwietering et al. by using previously published data sets. The models were compared on the basis of the usual criteria (simplicity, biological significance and minimum number of parameters, applicability, quality of fit, minimum structural correlations, and ease of initial parameter estimation), and our results justified the choice of the CPM. Our combined model was constructed by using the hypothesis that the temperature and pH effects on the (mu)(infmax) are independent. An analysis of this new model with an Escherichia coli O157:H7 data set showed that there was a good correspondence between observed and calculated (mu)(infmax) values. The potential and convenience of the model are discussed.

Entities:  

Year:  1995        PMID: 16534932      PMCID: PMC1388350          DOI: 10.1128/aem.61.2.610-616.1995

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


  10 in total

1.  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

2.  An unexpected correlation between cardinal temperatures of microbial growth highlighted by a new model.

Authors:  L Rosso; J R Lobry; J P Flandrois
Journal:  J Theor Biol       Date:  1993-06-21       Impact factor: 2.691

3.  Modelling bacterial growth of Listeria monocytogenes as a function of water activity, pH and temperature.

Authors:  T Wijtzes; P J McClure; M H Zwietering; T A Roberts
Journal:  Int J Food Microbiol       Date:  1993-04       Impact factor: 5.277

4.  Effect of pH on specific growth rates of rumen bacteria.

Authors:  A Kistner; J Therion; J H Kornelius; A Hugo
Journal:  Ann Rech Vet       Date:  1979

5.  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

6.  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

7.  The effect of the pH of various dairy products on the survival and growth of Brucella melitensis.

Authors:  N el-Daher; T Na'was; S al-Qaderi
Journal:  Ann Trop Med Parasitol       Date:  1990-10

8.  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

9.  Modelling the effect of pH, acidulant and temperature on the growth rate of Yersinia enterocolitica.

Authors:  M R Adams; C L Little; M C Easter
Journal:  J Appl Bacteriol       Date:  1991-07

10.  Effect of pH on growth rates of rumen amylolytic and lactilytic bacteria.

Authors:  J J Therion; A Kistner; J H Kornelius
Journal:  Appl Environ Microbiol       Date:  1982-08       Impact factor: 4.792

  10 in total
  41 in total

1.  Combined effects of pH and sugar on growth rate of Zygosaccharomyces rouxii, a bakery product spoilage yeast.

Authors:  J M Membré; M Kubaczka; C Chéné
Journal:  Appl Environ Microbiol       Date:  1999-11       Impact factor: 4.792

2.  Modeling growth and bacteriocin production by Lactobacillus amylovorus DCE 471 in response to temperature and pH values used for sourdough fermentations.

Authors:  Winy Messens; Patricia Neysens; Wim Vansieleghem; Johan Vanderhoeven; Luc De Vuyst
Journal:  Appl Environ Microbiol       Date:  2002-03       Impact factor: 4.792

3.  Comparing nonsynergistic gamma models with interaction models to predict growth of emetic Bacillus cereus when using combinations of pH and individual undissociated acids as growth-limiting factors.

Authors:  Elisabeth G Biesta-Peters; Martine W Reij; Leon G M Gorris; Marcel H Zwietering
Journal:  Appl Environ Microbiol       Date:  2010-07-16       Impact factor: 4.792

4.  Expanding the Limits of Thermoacidophily in the Archaeon Sulfolobus solfataricus by Adaptive Evolution.

Authors:  Samuel McCarthy; Tyler Johnson; Benjamin J Pavlik; Sophie Payne; Wendy Schackwitz; Joel Martin; Anna Lipzen; Erica Keffeler; Paul Blum
Journal:  Appl Environ Microbiol       Date:  2015-11-20       Impact factor: 4.792

5.  pH tolerance in freshwater bacterioplankton: trait variation of the community as measured by leucine incorporation.

Authors:  Erland Bååth; Emma Kritzberg
Journal:  Appl Environ Microbiol       Date:  2015-08-14       Impact factor: 4.792

6.  Cometabolism of citrate and glucose by Enterococcus faecium FAIR-E 198 in the absence of cellular growth.

Authors:  Frederik Vaningelgem; Veerle Ghijsels; Effie Tsakalidou; Luc De Vuyst
Journal:  Appl Environ Microbiol       Date:  2006-01       Impact factor: 4.792

7.  Use of artificial neural networks and a gamma-concept-based approach to model growth of and bacteriocin production by Streptococcus macedonicus ACA-DC 198 under simulated conditions of Kasseri cheese production.

Authors:  Panayiota Poirazi; Frédéric Leroy; Marina D Georgalaki; Anastassios Aktypis; Luc De Vuyst; Effie Tsakalidou
Journal:  Appl Environ Microbiol       Date:  2006-12-08       Impact factor: 4.792

8.  Genetic transformation of extremophilic fungi Acidea extrema and Acidothrix acidophila.

Authors:  Hana Hršelová; Martina Hujslová; Milan Gryndler
Journal:  Folia Microbiol (Praha)       Date:  2015-05-02       Impact factor: 2.099

9.  Modeling the lag period and exponential growth of Listeria monocytogenes under conditions of fluctuating temperature and water activity values.

Authors:  Marina Muñoz-Cuevas; Pablo S Fernández; Susan George; Carmen Pin
Journal:  Appl Environ Microbiol       Date:  2010-03-05       Impact factor: 4.792

10.  A combined model to predict the functionality of the bacteriocin-producing Lactobacillus sakei strain CTC 494.

Authors:  Frédéric Leroy; Luc De Vuyst
Journal:  Appl Environ Microbiol       Date:  2003-02       Impact factor: 4.792

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