Title: Statistical variability of heat penetration parameters in relation to process design
Authors: Smout, Chantal ×
Van Loey, Ann
Hendrickx, Marc
Beirlant, Jan #
Issue Date: Jan-2000
Publisher: Inst food technologists
Series Title: Journal of food science vol:65 issue:4 pages:685-693
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.
ISSN: 0022-1147
Publication status: published
KU Leuven publication type: IT
Appears in Collections:Centre for Food and Microbial Technology
Statistics Section
× corresponding author
# (joint) last author

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