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Mathematical modelling for predicting the growth of Pseudomonas spp. in poultry under variable temperature conditions.

Abstract：

:A dynamic growth model under variable temperature conditions was implemented and calibrated using raw data for microbial growth of Pseudomonas spp. in poultry under aerobic conditions. The primary model was implemented using measurement data under a set of fixed temperatures. The two primary models used for predicting the growth under constant temperature conditions were: Baranyi and modified Gompertz. For the Baranyi model the maximum specific growth rate and the lag phase at constant environmental conditions are expressed in exact form and it has been shown that in limit case when maximal cells concentration is much higher than the initial concentration the maximum specific growth rate is approximately equal to the specific growth rate. The model parameters are determined in a temperature range of 2-20 degrees C. As a secondary model the square root model was used for maximum specific growth rate in both models. In both models the main assumption, that the initial physiological state of the inoculum is constant and independent of the environmental parameters, is used, and a free parameter was implemented which was determined by minimizing the mean square error (MSE) relative to the measurement data. Two temperature profiles were used for calibration of the models on the initial conditions of the cells.

journal_name

Int J Food Microbiol

journal_title

International journal of food microbiology

authors

Gospavic R,Kreyenschmidt J,Bruckner S,Popov V,Haque N

doi

10.1016/j.ijfoodmicro.2008.07.022

subject

Has Abstract

pub_date

2008-10-31 00:00:00

pages

290-7

issue

3

eissn

0168-1605

issn

1879-3460

pii

S0168-1605(08)00423-6

journal_volume

127

pub_type

杂志文章

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