The Most Probable Curve method - A robust approach to estimate kinetic models from low plate count data resulting in reduced uncertainty

A novel method is proposed for fitting microbial inactivation models to data on liquid media: the Most Probable Curve (MPC) method. It is a multilevel model that makes a separation between the “true” microbial concentration according to the model, the “actual” concentration in the media considering...

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Veröffentlicht in:	International journal of food microbiology Jg. 380; S. 109871
Hauptverfasser:	Garre, Alberto, Zwietering, Marcel H., van Boekel, Martinus A.J.S.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier B.V 02.11.2022
Schlagworte:	Bayesian statistics food microbiology Gamma-Poisson regression Kinetic modelling kinetics liquids Listeria monocytogenes Microbial inactivation Pasteurization plate count Poisson distribution Poisson regression Predictive microbiology regression analysis Robust statistics stress tolerance uncertainty Robust statistics Bayesian statistics Predictive microbiology Kinetic modelling Pasteurization Gamma-Poisson regression Microbial inactivation Poisson regression
ISSN:	0168-1605, 1879-3460, 1879-3460
Online-Zugang:	Volltext
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