Literature DB >> 21986239

Modeling and estimating bacterial lag phase.

Peter Olofsson1, Xin Ma.   

Abstract

A branching process model of a bacterial population with initial lag phase is developed. Approximations are established in order to facilitate parameter estimation. The validity of approximations and estimation procedures is tested with simulated data.
Copyright © 2011 Elsevier Inc. All rights reserved.

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Year:  2011        PMID： 21986239      PMCID： PMC3225506          DOI： 10.1016/j.mbs.2011.09.004

Source DB:  PubMed          Journal:  Math Biosci        ISSN： 0025-5564            Impact factor:   2.144


  5 in total

1.  Stochastic modelling of bacterial lag phase.

Authors:  József Baranyi
Journal:  Int J Food Microbiol       Date:  2002-03       Impact factor: 5.277

Review 2.  Predictive modelling of the microbial lag phase: a review.

Authors:  I A M Swinnen; K Bernaerts; E J J Dens; A H Geeraerd; J F Van Impe
Journal:  Int J Food Microbiol       Date:  2004-07-15       Impact factor: 5.277

3.  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

4.  Parameter estimation for the distribution of single cell lag times.

Authors:  József Baranyi; Susan M George; Zoltán Kutalik
Journal:  J Theor Biol       Date:  2009-03-27       Impact factor: 2.691

5.  Comparison of Stochastic and Deterministic Concepts of Bacterial Lag.

Authors: 
Journal:  J Theor Biol       Date:  1998-06-07       Impact factor: 2.691
  5 in total

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