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Statistical Variability Of Heat Penetration Parameters in Relation to Process Design |
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| Authors: | C. Smout A. Van Loey M. Hendrickx J. Beirlant |
| Affiliation: | Authors Smout, Van Loey, and Hendrickx are with the Laboratory of Food Technology, Department of Food and Microbial Technology, Faculty of Agricultural and Applied Biological Sciences, Katholieke Universiteit Leuven, Kardinaal Mercierlaan 92, B-3001 Leuven, Belgium.;Author Beirlant is with the Department of Mathematics, Faculty of Science, Katholieke Universiteit Leuven, Celestijnenlaan 200B, B-3001 Leuven, Belgium. |
| Abstract: | ABSTRACT: This study was undertaken to develop statistical approaches that can deal with variations in heating parameters when designing processes. In this context, the statistical variability of heat penetration parameters of a large amount of both hand-filled and machine-filled containers was investigated in different case studies. Two new statistical approaches are presented: an univariate and a bivariate statistical method. Both approaches appear successful for statistically based determination of heating parameters for process design. The statistical approaches also enable estimating the minimum number of heat penetration measurements to give reliable values to use in calculating safe thermal processes. |
| Keywords: | Key Word: heat penetration heating parameters statistical variability process design retort |