Literature DB >> 16950913

Use of optical density detection times to assess the effect of acetic acid on single-cell kinetics.

A Métris1, S M George, J Baranyi.   

Abstract

The growth of Listeria innocua at different acetic acid concentrations (0 to 2,000 ppm) was monitored by optical density measurements in a Bioscreen (Labsystems, Vantaa, Finland). The generated populations came from low inocula that were obtained by serial dilution. A new method to estimate both the growth rate and the lag time of single cells from the detection times (time to reach an optical density of 0.11) was developed. It assumes that the single-cell lag times follow a gamma distribution and takes into account the randomness of the inoculation level. (The initial cell number per well was assumed to follow a Poisson distribution.) In this way, relatively small numbers of replicates are sufficient to obtain a robust estimation of the distribution of single-cell lag times. The results were validated with plate count experiments. It was found that logarithms of both the growth rates and of population lag times increased linearly with the acetic acid concentration. The logarithm of the scale parameter of the gamma distribution of the single-cell lag times also increased linearly with the acetic acid concentration irrespective of the phase of the inoculum.

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Year:  2006        PMID: 16950913      PMCID: PMC1610314          DOI: 10.1128/AEM.00914-06

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


  27 in total

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Authors:  T P Robinson; O O Aboaba; A Kaloti; M J Ocio; J Baranyi; B M Mackey
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2.  Modelling the effect of sublethal injury on the distribution of the lag times of individual cells of Lactobacillus plantarum.

Authors:  Jan P P M Smelt; Gertjan D Otten; Ad P Bos
Journal:  Int J Food Microbiol       Date:  2002-03       Impact factor: 5.277

3.  A parallel study on bacterial growth and inactivation.

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Journal:  J Theor Biol       Date:  2001-06-07       Impact factor: 2.691

4.  Observing growth and division of large numbers of individual bacteria by image analysis.

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Journal:  Appl Environ Microbiol       Date:  2004-02       Impact factor: 4.792

5.  Heterogeneity of times required for germination and outgrowth from single spores of nonproteolytic Clostridium botulinum.

Authors:  Sandra C Stringer; Martin D Webb; Susan M George; Carmen Pin; Michael W Peck
Journal:  Appl Environ Microbiol       Date:  2005-09       Impact factor: 4.792

6.  Connection between stochastic and deterministic modelling of microbial growth.

Authors:  Zoltán Kutalik; Moe Razaz; József Baranyi
Journal:  J Theor Biol       Date:  2005-01-21       Impact factor: 2.691

7.  Obtaining single cells: analysis and evaluation of an experimental protocol by means of a simulation model.

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8.  Mathematics of predictive food microbiology.

Authors:  J Baranyi; T A Roberts
Journal:  Int J Food Microbiol       Date:  1995-07       Impact factor: 5.277

9.  A comparison of the bioscreen method and microscopy for the determination of lag times of individual cells of listeria monocytogenes.

Authors:  Y Wu; M W Griffiths; R C McKellar
Journal:  Lett Appl Microbiol       Date:  2000-06       Impact factor: 2.858

10.  Modelling the growth kinetics of Listeria as a function of temperature, pH and organic acid concentration.

Authors:  Y Le Marc; V Huchet; C M Bourgeois; J P Guyonnet; P Mafart; D Thuault
Journal:  Int J Food Microbiol       Date:  2002-03       Impact factor: 5.277

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  15 in total

1.  Single-cell and population lag times as a function of cell age.

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Journal:  Appl Environ Microbiol       Date:  2008-02-22       Impact factor: 4.792

2.  Influence of stress on single-cell lag time and growth probability for Listeria monocytogenes in half Fraser broth.

Authors:  Claire Dupont; Jean-Christophe Augustin
Journal:  Appl Environ Microbiol       Date:  2009-03-20       Impact factor: 4.792

3.  Modeling the variability of single-cell lag times for Listeria innocua populations after sublethal and lethal heat treatments.

Authors:  A Métris; S M George; B M Mackey; J Baranyi
Journal:  Appl Environ Microbiol       Date:  2008-09-26       Impact factor: 4.792

4.  Influence of environmental stress on distributions of times to first division in Escherichia coli populations, as determined by digital-image analysis of individual cells.

Authors:  Gordon W Niven; Jennifer S Morton; Tamara Fuks; Bernard M Mackey
Journal:  Appl Environ Microbiol       Date:  2008-04-18       Impact factor: 4.792

Review 5.  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

6.  Analysis of the variability in the number of viable bacteria after mild heat treatment of food.

Authors:  J S Aguirre; C Pin; M R Rodríguez; G D García de Fernando
Journal:  Appl Environ Microbiol       Date:  2009-10-02       Impact factor: 4.792

7.  Decomposition of Growth Curves into Growth Rate and Acceleration: a Novel Procedure To Monitor Bacterial Growth and the Time-Dependent Effect of Antimicrobials.

Authors:  M Luisa Navarro-Pérez; M Coronada Fernández-Calderón; Virginia Vadillo-Rodríguez
Journal:  Appl Environ Microbiol       Date:  2021-12-08       Impact factor: 5.005

8.  Recent trends in non-invasive in situ techniques to monitor bacterial colonies in solid (model) food.

Authors:  María M Lobete; Estefania Noriega Fernandez; Jan F M Van Impe
Journal:  Front Microbiol       Date:  2015-03-06       Impact factor: 5.640

9.  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.  ScanLag: high-throughput quantification of colony growth and lag time.

Authors:  Irit Levin-Reisman; Ofer Fridman; Nathalie Q Balaban
Journal:  J Vis Exp       Date:  2014-07-15       Impact factor: 1.355

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