Literature DB >> 10563464

Modelling the interactions between Lactobacillus curvatus and Enterobacter cloacae. II. Mixed cultures and shelf life predictions.

P K Malakar1, D E Martens, M H Zwietering, C Béal, K van 't Riet.   

Abstract

The modelling approach presented in this study can be used to predict when interactions between microorganisms in homogenous systems occur. It was tested for the interaction between Lactobacillus curvatus and Enterobacter cloacae. In this binary system, L. curvatus produces lactic acid which decreases the pH in the system. The pH decrease was found to be the main limiting factor of growth of both E. cloacae and L. curvatus. This resulted in E. cloacae reaching its final concentration earlier when compared to its growth in pure culture. The models consisted of a set of first order ordinary differential equations describing the growth, consumption and production rates of both microorganisms. The parameters for these equations were obtained from pure culture studies and from literature. These equations were solved using a combination of analytical and numerical methods. The prediction of growth in mixed culture using parameters from pure culture experiments and literature were close to the experimental data. Both model predictions and experimental validation indicated that interaction occurs when the concentration of L. curvatus reaches 10(8) cfu/ml. At that moment in time, the pH had decreased to inhibiting levels. These concentrations of microorganisms (10(8) cfu/ml) do occur in fermented products where interactions obviously are important. In nonfermented foods however, this level of microorganisms indicate that spoilage has occurred or is about to start. Microbial interactions can therefore be neglected when predicting shelf life or safety of food products in most cases.

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Year:  1999        PMID: 10563464     DOI: 10.1016/s0168-1605(99)00096-3

Source DB:  PubMed          Journal:  Int J Food Microbiol        ISSN: 0168-1605            Impact factor:   5.277


  6 in total

1.  Modeling and predicting the simultaneous growth of Escherichia coli O157:H7 and ground beef background microflora for various enrichment protocols.

Authors:  A Vimont; C Vernozy-Rozand; M P Montet; C Lazizzera; C Bavai; M-L Delignette-Muller
Journal:  Appl Environ Microbiol       Date:  2006-01       Impact factor: 4.792

Review 2.  Unraveling microbial interactions in food fermentations: from classical to genomics approaches.

Authors:  Sander Sieuwerts; Frank A M de Bok; Jeroen Hugenholtz; Johan E T van Hylckama Vlieg
Journal:  Appl Environ Microbiol       Date:  2008-06-20       Impact factor: 4.792

3.  Predictive modelling of Lactobacillus casei KN291 survival in fermented soy beverage.

Authors:  Dorota Zielińska; Zielińska Dorota; Danuta Kołożyn-Krajewska; Kołożyn-Krajewska Danuta; Antoni Goryl; Goryl Antoni; Ilona Motyl
Journal:  J Microbiol       Date:  2014-02-01       Impact factor: 3.422

4.  Modeling the interactions of Lactobacillus curvatus colonies in solid medium: consequences for food quality and safety.

Authors:  Pradeep K Malakar; D E Martens; W van Breukelen; R M Boom; M H Zwietering; K van 't Riet
Journal:  Appl Environ Microbiol       Date:  2002-07       Impact factor: 4.792

5.  Microbial interactions for enhancement of α-amylase production by Bacillus amyloliquefaciens 04BBA15 and Lactobacillus fermentum 04BBA19.

Authors:  Bertrand Tatsinkou Fossi; Frédéric Tavea; Lum Ayeoffe Fontem; Robert Ndjouenkeu; Samuel Wanji
Journal:  Biotechnol Rep (Amst)       Date:  2014-09-18

6.  Influence of sanitizers on the lipopolysaccharide toxicity of Escherichia coli strains cultivated in the presence of Zygosaccharomyces bailii.

Authors:  Lerato Mogotsi; Olga De Smidt; Pierre Venter; Willem Groenewald
Journal:  ScientificWorldJournal       Date:  2014-05-25
  6 in total

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