AEM
Home Help [Feedback] [For Subscribers] [Archive] [Search] --
AEM Accepts, published online ahead of print on 1 September 2006
This Article
Right arrow Full Text (PDF)
Right arrow Other Versions of this Article:
AEM.00914-06v1
72/10/6674    most recent
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Services
Right arrow Similar articles in this journal
Right arrow Similar articles in PubMed
Right arrow Alert me to new issues of the journal
Right arrow Download to citation manager
Right arrowReprints and Permissions
Right arrow Copyright Information
Right arrow Books from ASM Press
Right arrow MicrobeWorld
Citing Articles
Right arrow Citing Articles via HighWire
Right arrow Citing Articles via Google Scholar
Google Scholar
Right arrow Articles by Métris, A.
Right arrow Articles by Baranyi, J.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Métris, A.
Right arrow Articles by Baranyi, J.
Agricola
Right arrow Articles by Métris, A.
Right arrow Articles by Baranyi, J.

 Previous Article  |  Next Article 

Appl. Environ. Microbiol. doi:10.1128/AEM.00914-06
Copyright (c) 2006, American Society for Microbiology and/or the Listed Authors/Institutions. All Rights Reserved.

Using optical density detection times to assess the effect of acetic acid on single cell kinetics

A. Métris*, S. M. George, and J. Baranyi

Institute of Food Research, Norwich Research Park, Norwich, NR4 7UA, U.K.

* To whom correspondence should be addressed. Email: aline.metris{at}bbsrc.ac.uk,


   Abstract

The growth of Listeria innocua at different acetic acid concentrations (0-2000 ppm) was monitored by optical density measurements in a Bioscreen (Labsystems, 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 cells lag times. The results were validated with plate count experiments. It was found that both the logarithm of 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.




This article has been cited by other articles:




Home Help [Feedback] [For Subscribers] [Archive] [Search] --
J. Bacteriol. Microbiol. Mol. Biol. Rev. Eukaryot. Cell All ASM Journals

Copyright © 2006 by the American Society for Microbiology. All rights reserved.