Literature DB >> 16535289

Response Surface Models To Describe the Effects of Temperature, pH, and Ethanol Concentration on Growth Kinetics and Fermentation End Products of a Pectinatus sp.

D Watier, H C Dubourguier, I Leguerinel, J P Hornez.   

Abstract

Growth curve data which had been fitted by use of the Gompertz and logistic functions have permitted the development of mathematical models to describe the growth of a Pectinatus sp. by several variables, namely, temperature, pH, and ethanol concentration. The activation energy of this microorganism was lower at 26 to 35(deg)C than at 15 to 22(deg)C. On the basis of the Arrhenius law, growth rate, maximum population density, and cell yield models have been developed by introducing the different activation energy (E(infa)) values. According to the model, optimal conditions were 35(deg)C, pH 6.5, and 0% (vol/vol) ethanol for the growth rate. For cell density and cell yield, optimal conditions were 32(deg)C, pH 6.0, and 1% (vol/vol) ethanol. No growth was observed for ethanol concentrations above 8% and pH values below 4.0. Other equations have also been made to describe the major end products fermented during fermentation by a Pectinatus sp. The synthesis of propionate and acetate is maximal at 28(deg)C at pHs of 5.5 and 6.25, respectively. This model completes the model suggested by Membre and Tholozan (J. Appl. Bacteriol. 77:456-460, 1994), which includes only one variable, i.e., the glucose concentration.

Entities:  

Year:  1996        PMID: 16535289      PMCID: PMC1388827          DOI: 10.1128/aem.62.4.1233-1237.1996

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


  5 in total

1.  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

2.  Effects of Temperature, pH, and NaCl on Growth and Pectinolytic Activity of Pseudomonas marginalis.

Authors:  J M Membré; P M Burlot
Journal:  Appl Environ Microbiol       Date:  1994-06       Impact factor: 4.792

3.  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

4.  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

5.  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

  5 in total
  1 in total

1.  Modeling Lactic Fermentation of Gowé Using Lactobacillus Starter Culture.

Authors:  Bettencourt de J C Munanga; Gérard Loiseau; Joël Grabulos; Christian Mestres
Journal:  Microorganisms       Date:  2016-12-01
  1 in total

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