Title: Effect of chemicals on the microbial evolution in foods
Authors: Devlieghere, F ×
Francois, K
Vereecken, KM
Geeraerd, Annemie
Van Impe, Jan
Debevere, J #
Issue Date: 2004
Series Title: Journal of food protection vol:67 issue:9 pages:1977-1990
Conference: date:Univ Ghent, Lab Food Microbiol & Food Preservat, Dept Food Technol & Nutr, B-9000 Ghent, Belgium; Katholieke Univ Leuven, Dept Chem Engn, BioTeC Bioproc Technol & Control, B-3001 Louvain, Belgium
Abstract: In contrast with most chemical hazardous compounds, the concentration of food pathogens changes during processing, storage, and meal preparation, making it difficult to estimate the number of microorganisms or the concentration of their toxins at the moment of ingestion by the consumer. These changes are attributed to microbial proliferation, survival, and/or inactivation and must be considered when exposure to a microbial hazard is assessed. The number of microorganisms can also change as a result of physical removal, mixing of food ingredients, partitioning of a food product, or cross-contamination (M. J. Nauta. 2002. Int. J. Food Microbiol. 73:297-304). Predictive microbiology, i.e., relating these microbial evolutionary patterns to environmental conditions, can therefore be considered a useful tool for microbial risk assessment, especially in the exposure assessment step. During the early development of the field (late 1980s and early 1990s), almost all research was focused on the modeling of microbial growth over time and the influence of temperature on this growth. Later, modeling of the influence of other intrinsic and extrinsic parameters garnered attention. Recently, more attention has been given to modeling of the effects of chemicals on microbial inactivation and survival. This article is an overview of different applied strategies for modeling the effect of chemical compounds on microbial populations. Various approaches for modeling chemical growth inhibition. the growth-no growth interface, and microbial inactivation by chemicals are reviewed.
ISSN: 0362-028X
Publication status: published
KU Leuven publication type: IT
Appears in Collections:Bio- & Chemical Systems Technology, Reactor Engineering and Safety Section
Division of Mechatronics, Biostatistics and Sensors (MeBioS)
× corresponding author
# (joint) last author

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