Predictive modelling for the growth kinetics of Pseudomonas spp. on button mushroom (Agaricus bisporus) under isothermal and non-isothermal conditions

作者: Fatih Tarlak , Murat Ozdemir , Mehmet Melikoglu

DOI: 10.1016/J.FOODRES.2019.108912

关键词:

摘要: Abstract Baranyi model was fitted to experimental growth data of Pseudomonas spp. on the button mushrooms (Agaricus bisporus) stored at different isothermal conditions (4, 12, 20 and 28 °C), kinetic parameters were obtained. The goodness fit evaluated by considering root mean squared error (RMSE) adjusted coefficient determination (adjusted-R2). gave RMSE values lower than 0.193 adjusted-R2 higher 0.975 for all storage temperatures. maximum specific rate (µmax) described as a function temperature using secondary models namely, Ratkowsky Arrhenius models. dependence µmax better model. Therefore, differential form merged with model, solved numerically fourth-order Runge-Kutta method predict concentration populations under non-isothermal in which they are frequently subjected during storage, delivery retail marketing. validation performance dynamic used assessed bias (Bf) accuracy (Af) factors found be 0.998 1.016, respectively. developed also exhibited quite small deviation (MD) absolute (MAD) being −0.013 0.126 log CFU/g, modelling approach this work could an alternative traditional enumeration techniques determine number time.

参考文章(37)
Fernando Pérez-Rodríguez, Antonio Valero, Predictive Microbiology in Foods ,(2012)
D Sylvain Dabadé, Paulin Azokpota, MJ Robert Nout, D Joseph Hounhouigan, Marcel H Zwietering, Heidy MW den Besten, None, Prediction of spoilage of tropical shrimp (Penaeus notialis) under dynamic temperature regimes International Journal of Food Microbiology. ,vol. 210, pp. 121- 130 ,(2015) , 10.1016/J.IJFOODMICRO.2015.06.010
Ward Mk, King Eo, Raney De, Two simple media for the demonstration of pyocyanin and fluorescin. Journal of Laboratory and Clinical Medicine. ,vol. 44, pp. 301- 307 ,(1954) , 10.5555/URI:PII:002221435490222X
Stefanie Bruckner, Antonia Albrecht, Brigitte Petersen, Judith Kreyenschmidt, A predictive shelf life model as a tool for the improvement of quality management in pork and poultry chains Food Control. ,vol. 29, pp. 451- 460 ,(2013) , 10.1016/J.FOODCONT.2012.05.048
József Baranyi, Terry A. Roberts, A dynamic approach to predicting bacterial growth in food International Journal of Food Microbiology. ,vol. 23, pp. 277- 294 ,(1994) , 10.1016/0168-1605(94)90157-0
María E. Venturini, Juan E. Reyes, Carmen S. Rivera, Rosa Oria, Domingo Blanco, Microbiological quality and safety of fresh cultivated and wild mushrooms commercialized in Spain Food Microbiology. ,vol. 28, pp. 1492- 1498 ,(2011) , 10.1016/J.FM.2011.08.007
Konstantinos Koutsoumanis, Predictive modeling of the shelf life of fish under nonisothermal conditions. Applied and Environmental Microbiology. ,vol. 67, pp. 1821- 1829 ,(2001) , 10.1128/AEM.67.4.1821-1829.2001
Radovan Gospavic, Judith Kreyenschmidt, Stefanie Bruckner, Viktor Popov, Nasimul Haque, Mathematical modelling for predicting the growth of Pseudomonas spp. in poultry under variable temperature conditions. International Journal of Food Microbiology. ,vol. 127, pp. 290- 297 ,(2008) , 10.1016/J.IJFOODMICRO.2008.07.022
Vijay K. Juneja, Martin Valenzuela Melendres, Lihan Huang, Jeyamkondan Subbiah, Harshavardhan Thippareddi, Mathematical modeling of growth of Salmonella in raw ground beef under isothermal conditions from 10 to 45 °C International Journal of Food Microbiology. ,vol. 131, pp. 106- 111 ,(2009) , 10.1016/J.IJFOODMICRO.2009.01.034