Literature DB >> 11934036

Modeling the lag phase of Listeria monocytogenes.

R C Whiting1, L K Bagi.   

Abstract

An estimate of the lag phase duration is an important component for predicting the growth of a bacterium and for creating process models and risk assessments. Most current research and data for predictive modeling programs initiated growth studies with cells grown to the stationary phase in a favorable pH, nutrient and temperature environment. In this work, Listeria monocytogenes Scott A cells were grown in brain heart infusion (BHI) broth at different temperatures from 4 to 37 degrees C to the exponential growth or stationary phases. Additional cells were suspended in a dilute broth, desiccated or frozen. These cells were then transferred to BHI broth at various temperatures from 4 to 37 degrees C and the lag phase durations were determined by enumerating cells at appropriate time intervals. Long lag phases were observed for cells initially grown at high temperatures and transferred to low temperatures. In general, exponential growth cells had the shortest lag phases, stationary phase and starved cells had longer, frozen cells had slightly longer and desiccated cells had the longest lag phases. These data were from immediate temperature transitions. When a computer-controlled water bath linearly changed the temperature from 37 to 5 degrees C over a 3.0- or 6.0-h period, the cells had short lags and grew continuously with declining growth rates. Transitions of 0.75 or 1.0 h had 20-h lag phases, essentially that of immediate transitions. When the transition was 1.5 h, an intermediate pattern of less than 1 log of growth followed by no additional growth for 20 h occurred.

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Year:  2002        PMID: 11934036     DOI: 10.1016/s0168-1605(01)00662-6

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


  10 in total

1.  Alternative approach to modeling bacterial lag time, using logistic regression as a function of time, temperature, pH, and sodium chloride concentration.

Authors:  Shige Koseki; Junko Nonaka
Journal:  Appl Environ Microbiol       Date:  2012-06-22       Impact factor: 4.792

2.  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

3.  Substrate utilization profiles of bacterial strains in plankton from the River Warnow, a humic and eutrophic river in north Germany.

Authors:  Heike M Freese; Anja Eggert; Jay L Garland; Rhena Schumann
Journal:  Microb Ecol       Date:  2010-01       Impact factor: 4.552

4.  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

5.  Modeling the effect of abrupt acid and osmotic shifts within the growth region and across growth boundaries on adaptation and growth of Listeria monocytogenes.

Authors:  Y Le Marc; P N Skandamis; C I A Belessi; S I Merkouri; S M George; A S Gounadaki; S Schvartzman; K Jordan; E H Drosinos; J Baranyi
Journal:  Appl Environ Microbiol       Date:  2010-07-30       Impact factor: 4.792

6.  Influence of stress on individual lag time distributions of Listeria monocytogenes.

Authors:  L Guillier; P Pardon; J-C Augustin
Journal:  Appl Environ Microbiol       Date:  2005-06       Impact factor: 4.792

7.  Probabilistic model for Listeria monocytogenes growth during distribution, retail storage, and domestic storage of pasteurized milk.

Authors:  Konstantinos Koutsoumanis; Athanasios Pavlis; George-John E Nychas; Konstantinos Xanthiakos
Journal:  Appl Environ Microbiol       Date:  2010-02-05       Impact factor: 4.792

Review 8.  Lag Phase Is a Dynamic, Organized, Adaptive, and Evolvable Period That Prepares Bacteria for Cell Division.

Authors:  Robert L Bertrand
Journal:  J Bacteriol       Date:  2019-03-13       Impact factor: 3.490

9.  Enrichment dynamics of Listeria monocytogenes and the associated microbiome from naturally contaminated ice cream linked to a listeriosis outbreak.

Authors:  Andrea Ottesen; Padmini Ramachandran; Elizabeth Reed; James R White; Nur Hasan; Poorani Subramanian; Gina Ryan; Karen Jarvis; Christopher Grim; Ninalynn Daquiqan; Darcy Hanes; Marc Allard; Rita Colwell; Eric Brown; Yi Chen
Journal:  BMC Microbiol       Date:  2016-11-16       Impact factor: 3.605

10.  Comparison of Primary Models to Predict Microbial Growth by the Plate Count and Absorbance Methods.

Authors:  María-Leonor Pla; Sandra Oltra; María-Dolores Esteban; Santiago Andreu; Alfredo Palop
Journal:  Biomed Res Int       Date:  2015-10-11       Impact factor: 3.411

  10 in total

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