9860

Idealized Conventional and Pressure-Assisted Thermal Preservation Processes

This Demonstration generates an idealized temperature profile in thermal preservation of foods or pharmaceuticals in order to reach a given survival ratio of a targeted microorganism or spore. The process can be conventional or pressure-assisted. The program calculates the time to start cooling in the former and also the holding time under pressure in the latter. It is based on the assumptions that the mortality pattern follows Weibullian kinetics, of which log-linear inactivation is a special case, and that the lethal effect during pressurization is primarily thermal.

SNAPSHOTS

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DETAILS

Snapshot 1: temperature profile of an idealized fast and mild conventional heat treatment and corresponding survival curve of a sensitive microorganism
Snapshot 2: temperature profile of an idealized slow and intense conventional heat treatment and corresponding survival curve of a resistant bacterial spore
Snapshot 3: temperature profile of an idealized pressure-assisted heat treatment and corresponding survival curve of a highly heat resistant bacterial spore
Snapshot 4: temperature profile of an idealized pressure-assisted heat treatment and corresponding survival curve of a less resistant bacterial spore
Snapshot 5: temperature profile of an idealized pressure-assisted heat treatment and corresponding survival curve of a bacterial spore in a food having low thermal conductivity
This Demonstration generates idealized temperature profiles of the kind encountered in conventional and pressure-assisted thermal preservation of food and pharmaceuticals.
The targeted organism or spore's heat resistance is specified by the WeLL (Weibullian Log Logistic) model parameters , , and entered with sliders, where represents the concavity of the isothermal semi-logarithmic survival curves in the pertinent temperature range, represents a marker of the beginning of the lethal temperature range, and represents the slope of the Weibullian rate parameter,, at .
The conventional heating stage is approximated by the equation , where is the initial temperature, is the process temperature, and is a rate constant. The cooling stage is approximated by the equation , where is the temperature of the cooling water, is the highest temperature reached in the process, and is a time characteristic of the cooling. (All temperatures are in degrees C and all times are in minutes.) The final logarithmic survival ratio, , to be accomplished by the process is entered by the user with a slider. The time, , needed to achieve this survival ratio is calculated by numerically solving the particular organism or spore's rate equation for the chosen heating and cooling curves. The numeric value of is displayed above the plots of the temperature profile and the corresponding survival curve of the process.
In the pressure-assisted method, chosen by clicking the "pressure-assisted" button, the conventional heating stage is approximated by the equation . In this process, is the temperature reached almost instantaneously by adiabatic heating due to pressurization. Cooling can start immediately after depressurization or after additional holding for time set with a slider. The cooling stage is approximated by the same equation, , where .
The time is the time at the target temperature needed to achieve the final logarithmic survival ratio, , is calculated by numerically solving the rate equation of the particular organism or spore for the chosen pressure-assisted heating and cooling regimes. The numeric values of and are displayed above the plots of the temperature profile and the corresponding survival curve of the pressure-assisted process.
The generated survival curve and holding-time calculations are based on the assumptions that the inactivation pattern follows the WeLL model and that the inactivation during holding under pressure is primarily thermal. In cases where nonthermal effects of the pressure do play a significant role, comparison of the simulations with experimental results can be used to identify and quantify their contribution to the overall process lethality.
Not all possible control combinations necessarily correspond to realistic processes or can achieve the chosen final logarithmic survival ratio. If such a control combination is chosen, no curves are drawn and a message alerting the user to the situation appears in bold red text.
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