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Thermal Food Processing

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<strong>Thermal</strong> <strong>Processing</strong> of Meat Products 183<br />

Log CFU/g or mL<br />

Shoulder<br />

Linear<br />

Time<br />

Linear<br />

FIGURE 6.12 Graphic representation of shoulder and tailing in microbial populations<br />

during thermal treatments. (Courtesy of Dr. Vijay Juneja.)<br />

In cases where extreme deviations from first-order kinetics are observed in<br />

thermal kinetics of microorganisms, it may be too simplistic to apply the general<br />

method of calculating the process lethality, and in most instances, it could be<br />

potentially hazardous. In such cases, it may be necessary to conduct microbial<br />

challenge studies (MCTs) and simulate natural conditions encountered during<br />

processing of a particular meat product. General guidelines for such challenge<br />

studies have been published and, in most cases, were developed for specific purposes,<br />

such as conduct of the MCTs for survival/destruction of L. monocytogenes<br />

on ready-to-eat meat products. 55<br />

In addition to these factors, process lethalities also depend on the processing<br />

schedules employed, e.g., the time when moist heat was introduced, the<br />

degree of dry heat vs. moist heat processing, product surface characteristics,<br />

initial moisture of the product, and degree or rate of moisture loss, among<br />

other factors.<br />

6.8 PREDICTIVE MODELING OF THERMAL<br />

DESTRUCTION KINETICS OF<br />

VEGETATIVE PATHOGENS<br />

Predictive modeling has gained popularity and wide acceptance from regulatory<br />

agencies as a tool to evaluate and predict the microbiological safety of food<br />

products. This probably is due to the regulatory shift from a prescribed command<br />

and control system to a hazard analysis and critical control point (HACCP)-based<br />

food safety approach.<br />

Tail

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