Prediction of indigenous Pseudomonas spp. growth on oyster mushrooms (Pleurotus ostreatus) as a function of storage temperature
作者： Evanthia Manthou , Fatih Tarlak , Alexandra Lianou , Murat Ozdemir , Georgios I. Zervakis
DOI: 10.1016/J.LWT.2019.05.062
关键词:
摘要: Abstract The growth kinetic behaviour of Pseudomonas spp. naturally occurring on oyster mushrooms (Pleurotus ostreatus) was evaluated during storage at different isothermal conditions (4, 10 and 16 °C), described quantitatively using a one-step global parameter estimation method. In the context this modelling approach, parameters maximum specific rate (μmax) lag phase duration (λ) were estimated Baranyi model, whereas effect temperature μmax secondary square-root-type model. model's goodness-of-fit indices root mean square error (RMSE) adjusted coefficient determination (adjusted-R2) to be 0.206 0.948, respectively. model then externally validated data generated under dynamic conditions. Specifically, differential form merged with solved numerically fourth-order Runge-Kutta method in order predict concentration fluctuating developed approach exhibited satisfactory performance, deviation absolute being −0.10 0.22 log CFU/g, Along further substantiation optimization, should useful food quality management systems, aiming particular improvement microbiological mushrooms.
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