A random effect multiplicative heteroscedastic model for bacterial growth.

ABSTRACT:

Background

Predictive microbiology develops mathematical models that can predict the growth rate of a microorganism population under a set of environmental conditions. Many primary growth models have been proposed. However, when primary models are applied to bacterial growth curves, the biological variability is reduced to a single curve defined by some kinetic parameters (lag time and growth rate), and sometimes the models give poor fits in some regions of the curve. The development of a prediction band (from a set of bacterial growth curves) using non-parametric and bootstrap methods permits to overcome that problem and include the biological variability of the microorganism into the modelling process.

Results

Absorbance data from Listeria monocytogenes cultured at 22, 26,

SUBMITTER: Cao R 

PROVIDER: S-EPMC2829529 | biostudies-literature | 2010 Feb

REPOSITORIES: biostudies-literature