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<strong>Thermal</strong> <strong>Processing</strong> of Meat Products 181<br />

process temperatures. The selection of the Z value can have a significant impact<br />

on the calculated process lethality and should be conservatively chosen. Tables<br />

of lethal rates can be prepared for a range of product temperatures for a specific<br />

temperature and Z value.<br />

To obtain the kill time at reference temperature, the sum of the lethal rates<br />

at each of the product temperatures (from product temperature history) is multiplied<br />

by the effective time (time between the measurements):<br />

F L xt<br />

T ref T T =∑<br />

(6.2)<br />

Thus, the process lethality (decimal reductions of pathogen) can be obtained by<br />

dividing F T ref by the D value of the particular pathogen at T ref . While this is a<br />

simplistic form of evaluating process lethality, caution should be observed when<br />

using this method in thermal process evaluations.<br />

The general method for calculating process lethality has wide application in<br />

the canning industry and can be applied to thermal processes in enclosed systems,<br />

where the loss of moisture from the product (mass transfer) is minimal. An<br />

example for such a cooking system is moist cooking in smokehouses, where the<br />

humidity is high (wet and dry bulb temperatures are similar), such as cooking<br />

the product in bags in water or in high-humidity environments (steam cooking).<br />

Under these conditions, the predicted lethality will correlate well with the<br />

observed lethalities for vegetative food-borne pathogens.<br />

Typical thermal destruction parameters for common food-borne pathogens<br />

are shown in Table 6.6. When dry heat is employed for thermal processing, such<br />

as in cooking hamburgers or cooking roast beef products, chicken thighs, or<br />

chicken breasts in a dry environment or environment with low humidity, the<br />

predicted lethalities will be greater than the observed lethalities. An example for<br />

this behavior is the work conducted by Goodfellow and Brown 52 on destruction<br />

of Salmonella on roast beef, which indicates that survivors could be observed on<br />

the surface-inoculated product using dry heat. Injection of steam either early or<br />

late in the cooking process resulted in complete destruction of surface-inoculated<br />

Salmonella. The authors 52 attributed the survival of the Salmonella during dry<br />

heating to dehydration of the microorganisms, resulting in increased resistance.<br />

In some cases, predicted process lethalities for vegetative microorganisms do<br />

not agree with lethalities observed through microbial challenge studies. These<br />

anomalies can be explained by several factors that affect the microbial heat<br />

resistance. These factors can be categorized as those that pertain to the product<br />

and those that are related to the microbial cells. They have been recognized as<br />

early as the 1960s and include:<br />

1. Product characteristics that affect microbial heat resistance<br />

a. Water activity (a w)<br />

b. Fat content<br />

c. pH of the product

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