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Advisor(s)
Abstract(s)
The estimation of model parameters with high precision is of major importance in mathematical predictions.
If a mathematical model is properly chosen and if the primary objective is to improve parameter
estimation, underlying statistical theories can be applied. Precision increases with the number of
experimental points. However, and in many situations,maximum precision is attained when sampling consists
of replicates of specific experimental points. Experimental conditions can be optimized using the Doptimal
design concept based on minimization of the generalized variance of the parameter estimates.
The objective of this work was to use this methodology for the design of experiments for microbial inactivation
processes described by a Gompertz-based model under isothermal and non-isothermal conditions.
The application of D-optimal design concept considerably improved parameters precision, when compared
to the commonly used heuristic designs.
Description
Keywords
D-optimal experimental design Microbial thermal inactivation Maximum inactivation rate Shoulder parameter Isothermal and non-isothermal conditions
Citation
GIL, Maria M. ...[et al.] - Application of optimal experimental design concept to improve the estimation of model parameters in microbial thermal inactivation kinetics. Journal of Food Engineering. ISSN 0260-8774. Vol. 134 (2014), p. 59–66
Publisher
Elsevier