Literature DB >> 9647838

Modeling of Growth of Lactobacillus sanfranciscensis and Candida milleri in Response to Process Parameters of Sourdough Fermentation.

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Abstract

We investigated the effect of the ecological factors pH, temperature, ionic strength, and lactate, acetate, and ethanol levels on Candida milleri and two strains of Lactobacillus sanfranciscensis, organisms representative of the microflora of sourdough. A mathematical model describing the single and combined effects of these factors on the growth of these organisms was established in accordance with the following criteria: quality of fit, biological significance of the parameters, and applicability of the in vitro data to in situ processes. The growth rates of L. sanfranciscensis LTH1729 and LTH2581 were virtually identical under all conditions tested. These organisms tolerated >160 mmol of undissociated acetic acid per liter. Growth occurred in the pH range of 3.9 to 6.7 and was completely inhibited by 4% NaCl. C. milleri had a lower optimum temperature for growth (27 degreesC) than the lactobacilli. The growth of the yeast was not affected by pH in the range of 3.5 to 7, and up to 8% NaCl was tolerated. Complete inhibition of growth occurred at 150 mmol of undissociated acetic acid per liter, but acetate at concentrations of up to 250 mmol/liter exerted virtually no effect. The model provides insight into factors contributing to the stability of the sourdough microflora and can facilitate the design of novel sourdough processes.

Entities:  

Year:  1998        PMID: 9647838      PMCID: PMC106434     

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


  7 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.  Modeling of bacterial growth with shifts in temperature.

Authors:  M H Zwietering; J C de Wit; H G Cuppers; K van 't Riet
Journal:  Appl Environ Microbiol       Date:  1994-01       Impact factor: 4.792

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

Authors:  L Rosso; J R Lobry; S Bajard; J P Flandrois
Journal:  Appl Environ Microbiol       Date:  1995-02       Impact factor: 4.792

4.  Modelling Bacterial Growth of Lactobacillus curvatus as a Function of Acidity and Temperature.

Authors:  T Wijtzes; J C de Wit; R Van't; M H Zwietering
Journal:  Appl Environ Microbiol       Date:  1995-07       Impact factor: 4.792

5.  A model for the combined effects of temperature and salt concentration on growth rate of food spoilage molds.

Authors:  H G Cuppers; S Oomes; S Brul
Journal:  Appl Environ Microbiol       Date:  1997-10       Impact factor: 4.792

6.  Microorganisms of the San Francisco sour dough bread process. II. Isolation and characterization of undescribed bacterial species responsible for the souring activity.

Authors:  L Kline; T F Sugihara
Journal:  Appl Microbiol       Date:  1971-03

7.  Regulation of acetic acid production by homo- and heterofermentative lactobacilli in whole-wheat sour-doughs.

Authors:  M A Martínez-Anaya; M L Llin; M Pilar Macías; C Collar
Journal:  Z Lebensm Unters Forsch       Date:  1994-09
  7 in total
  34 in total

1.  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

2.  Identification and population dynamics of yeasts in sourdough fermentation processes by PCR-denaturing gradient gel electrophoresis.

Authors:  Christiane B Meroth; Walter P Hammes; Christian Hertel
Journal:  Appl Environ Microbiol       Date:  2003-12       Impact factor: 4.792

3.  Effects of pressure on cell morphology and cell division of lactic acid bacteria.

Authors:  Adriana Molina-Höppner; Takako Sato; Chiaki Kato; Michael G Gänzle; Rudi F Vogel
Journal:  Extremophiles       Date:  2003-09-19       Impact factor: 2.395

4.  Microbial life and temperature: a semi empirical approach.

Authors:  León Garzón
Journal:  Orig Life Evol Biosph       Date:  2004-08       Impact factor: 1.950

5.  Use of stochastic models to assess the effect of environmental factors on microbial growth.

Authors:  José Miguel Ponciano; Frederik P J Vandecasteele; Thomas F Hess; Larry J Forney; Ronald L Crawford; Paul Joyce
Journal:  Appl Environ Microbiol       Date:  2005-05       Impact factor: 4.792

6.  Modeling for gellan gum production by Sphingomonas paucimobilis ATCC 31461 in a simplified medium.

Authors:  Xia Wang; Ping Xu; Yong Yuan; Changlong Liu; Dezhong Zhang; Zhengting Yang; Chunyu Yang; Cuiqing Ma
Journal:  Appl Environ Microbiol       Date:  2006-05       Impact factor: 4.792

7.  Taxonomic structure and stability of the bacterial community in belgian sourdough ecosystems as assessed by culture and population fingerprinting.

Authors:  Ilse Scheirlinck; Roel Van der Meulen; Ann Van Schoor; Marc Vancanneyt; Luc De Vuyst; Peter Vandamme; Geert Huys
Journal:  Appl Environ Microbiol       Date:  2008-02-29       Impact factor: 4.792

8.  Influence of temperature and backslopping time on the microbiota of a type I propagated laboratory wheat sourdough fermentation.

Authors:  Gino Vrancken; Tom Rimaux; Stefan Weckx; Frédéric Leroy; Luc De Vuyst
Journal:  Appl Environ Microbiol       Date:  2011-02-18       Impact factor: 4.792

9.  Exopolysaccharide and kestose production by Lactobacillus sanfranciscensis LTH2590.

Authors:  Maher Korakli; Melanie Pavlovic; Michael G Gänzle; Rudi F Vogel
Journal:  Appl Environ Microbiol       Date:  2003-04       Impact factor: 4.792

10.  The presence of salt and a curing agent reduces bacteriocin production by Lactobacillus sakei CTC 494, a potential starter culture for sausage fermentation.

Authors:  F Leroy; L de Vuyst
Journal:  Appl Environ Microbiol       Date:  1999-12       Impact factor: 4.792

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