Evaluation of High Pressure Processing Kinetic Models for Microbial Inactivation Using Standard Statistical Tools and Information Theory Criteria, and the Development of Generic Time-Pressure Functions for Process Design Public Deposited

http://ir.library.oregonstate.edu/concern/articles/dv13zz742

This is an author's peer-reviewed final manuscript, as accepted by the publisher. The published article is copyrighted by Springer and can be found at:  http://www.springer.com/food+science/journal/11947

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  • Generic kinetic models for microbial inactivation by high pressure processing (HPP) would accelerate the development of commercial applications. The aim of this work was to develop a generic model obtained by fitting peer-reviewed microbial inactivation data (124 kinetic curves) to first order kinetics (LKM), Weibull (WBLL), and Gompertz (GMPZ) primary and secondary models. Standard statistics (coefficient of determination (R²), variance, residuals plots, experimental vs predicted plots) and information theory criteria (Akaike Information Criteria, AIC; Akaike differences, ∆AIC[subscript i], Bayesian Information Criteria) determined their goodness of fit. Standard statistics showed no differences between WBLL and GMPZ, whereas information theory criteria identified WBLL as the best model (lowest AIC[subscript i] value, 61.3% of cases). LKM performed poorly according to all statistics (e.g., ∆AIC[subscript i] > 10, 58.1% of cases). The dispersion of model parameters prevented the derivation of a secondary model for the whole dataset, but clear trends and sufficient data (56 kinetic curves) were found to develop one for milk. A secondary WBLL model (b’ = 0.056-2.230, n = 0.758-0.403; 150-600 MPa) was the best alternative (AIC[subscript i] = 183.8). A GMPZ model yielded similar predictions, but registered ∆AIC[subscript i] = 19.3 reflecting its larger number of parameters (p = 8). Selecting datasets with pressure holding times of commercial interest (t ≤ 10 min) yielded different parameter estimates for the generic WBLL model (b’ = 0.079-1.859, n = 1.340-0.557; 300-600 MPa). In conclusion, information theory criteria complemented standard statistics, and the simpler WBLL secondary model (p = 4) provided a product-specific time-pressure function of industrial relevance.
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  • Serment-Moreno, V., Fuentes, C., Barbosa-Cánovas, G., Torres, J. A., & Welti-Chanes, J. (2015). Evaluation of High Pressure Processing Kinetic Models for Microbial Inactivation Using Standard Statistical Tools and Information Theory Criteria, and the Development of Generic Time-Pressure Functions for Process Design. Food and Bioprocess Technology, 8(6), 1244-1257. doi:10.1007/s11947-015-1488-x
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