Literature DB >> 9351226

The use of an automated growth analyser to measure recovery times of single heat-injured Salmonella cells.

P J Stephens1, J A Joynson, K W Davies, R Holbrook, H M Lappin-Scott, T J Humphrey.   

Abstract

A new approach to the study of recovery times of single heat-injured Salmonella cells is described. It comprises the generation of a standard heat-injured culture, serial dilution of this culture to near extinction, inoculation of the serial dilutions across many microtitre plates and measurement of the subsequent recovery and growth using an automated turbidometric analyser. Lag times for individual cells were estimated from turbidity data using a model that accurately extrapolated the growth curve back to the starting inoculum level. Lag times were compared using a number of different commercially available pre-enrichment media. The most typical result was a very broad distribution of lag times at the single cell inoculum level, with many values in excess of 20 h. Even at an inoculum level 10-fold higher, lag times for some injured cells were estimated to be > 10 h. More significantly, it was found that some media recovered more injured cells than others and vice versa. Between the worst and best media there were as many as 3 log10 cycles difference in the number of cells recoverable. No trends were apparent linking choice of medium with performance. The implications of these findings, in relation to traditional and rapid methodology, are discussed.

Mesh:

Year:  1997        PMID: 9351226     DOI: 10.1046/j.1365-2672.1997.00255.x

Source DB:  PubMed          Journal:  J Appl Microbiol        ISSN: 1364-5072            Impact factor:   3.772


  19 in total

1.  Significance of inoculum size in the lag time of Listeria monocytogenes.

Authors:  J C Augustin; A Brouillaud-Delattre; L Rosso; V Carlier
Journal:  Appl Environ Microbiol       Date:  2000-04       Impact factor: 4.792

Review 2.  Single-cell microbiology: tools, technologies, and applications.

Authors:  Byron F Brehm-Stecher; Eric A Johnson
Journal:  Microbiol Mol Biol Rev       Date:  2004-09       Impact factor: 11.056

Review 3.  Quorum sensing in the context of food microbiology.

Authors:  Panagiotis N Skandamis; George-John E Nychas
Journal:  Appl Environ Microbiol       Date:  2012-06-15       Impact factor: 4.792

4.  Indirect measurement of the lag time distribution of single cells of Listeria innocua in food.

Authors:  M D'Arrigo; G D García de Fernando; R Velasco de Diego; J A Ordóñez; S M George; C Pin
Journal:  Appl Environ Microbiol       Date:  2006-04       Impact factor: 4.792

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

Authors:  A Métris; S M George; J Baranyi
Journal:  Appl Environ Microbiol       Date:  2006-09-01       Impact factor: 4.792

6.  Kinetics of single cells: observation and modeling of a stochastic process.

Authors:  Carmen Pin; József Baranyi
Journal:  Appl Environ Microbiol       Date:  2006-03       Impact factor: 4.792

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

Authors:  Carmen Pin; József Baranyi
Journal:  Appl Environ Microbiol       Date:  2008-02-22       Impact factor: 4.792

8.  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

9.  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

Review 10.  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

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