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

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