Literature DB >> 19648368

Estimating risk from small inocula by using population growth parameters.

P K Malakar1, G C Barker.   

Abstract

Risk from an uncertain small inoculum depends on variability of single-cell lag times. However, quantifying single-cell variability is technically challenging. It is possible to estimate this variability using population growth parameters. We demonstrate this possibility using data from literature and show a Bayesian scheme for performing this task.

Mesh：

Year:  2009        PMID： 19648368      PMCID： PMC2753061          DOI： 10.1128/AEM.00651-09

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


  8 in total

1.  A parallel study on bacterial growth and inactivation.

Authors:  J Baranyi; C Pin
Journal:  J Theor Biol       Date:  2001-06-07       Impact factor: 2.691

2.  Modelling the individual cell lag phase: effect of temperature and pH on the individual cell lag distribution of Listeria monocytogenes.

Authors:  K Francois; F Devlieghere; K Smet; A R Standaert; A H Geeraerd; J F Van Impe; J Debevere
Journal:  Int J Food Microbiol       Date:  2004-11-23       Impact factor: 5.277

3.  Germination and growth from spores: variability and uncertainty in the assessment of food borne hazards.

Authors:  G C Barker; P K Malakar; M W Peck
Journal:  Int J Food Microbiol       Date:  2004-11-26       Impact factor: 5.277

4.  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

5.  Estimating single-cell lag times via a Bayesian scheme.

Authors:  P K Malakar; G C Barker
Journal:  Appl Environ Microbiol       Date:  2008-09-19       Impact factor: 4.792

6.  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

7.  Time-to-turbidity model for non-protective type B Clostridium botulinum.

Authors:  R C Whiting; J C Oriente
Journal:  Int J Food Microbiol       Date:  1997-04-29       Impact factor: 5.277

8.  The effect of inoculum size and sublethal injury on the ability of Listeria monocytogenes to initiate growth under suboptimal conditions.

Authors:  C Pascual; T P Robinson; M J Ocio; O O Aboaba; B M Mackey
Journal:  Lett Appl Microbiol       Date:  2001-11       Impact factor: 2.858
  8 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.