
AbstractPreservation processes for food products have evolved over time as more fundamental information about the factors influencing the processes have become available. Traditionally, thermal processes have been used for preservation of both shelf-stable and refrigerated foods. Recently, ultra-high pressure (UHP) and pulsed-electric-field (PEF) technologies have been considered as alternative processes. The objective of this paper is to discuss the integration of kinetic models for microbial inactivation and quality retention with appropriate models for transport phenomenon within the product structure, to predict the impacts of the processes on microbial populations and product quality attributes. As food safety concerns in refrigerated foods have increased, the amounts of kinetic data on microbial survivors during both traditional and alternative processes have increased. In addition, similar data for survival of pathogenic spores under UHP and PEF processes have been measured and published. During the same period of time, new physical properties data for foods have been published, along with predictive models for transport phenomenon within food products. Through the integration of appropriate kinetics models with models for transport phenomenon, the design of preservation processes has been improved and optimized.
alternative processes, process design, kinetics, physical properties, quality optimization
alternative processes, process design, kinetics, physical properties, quality optimization
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 11 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
