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Inactivation of E. <strong>coli</strong> <strong>in</strong> UCFM 47.• confirm and quantify the effect of water activity on <strong><strong>in</strong>activation</strong> rate of E. <strong>coli</strong> (<strong>in</strong> the wateractivity range of relevance to UCFM, and at fixed levels of temperature, pH and lactaterepresentative of UCFM);• determ<strong>in</strong>e and quantify the effect of pH on <strong><strong>in</strong>activation</strong> rate of E. <strong>coli</strong> (<strong>in</strong> the pH range ofrelevance to UCFM, and at fixed levels of temperature, water activity and lactaterepresentative of UCFM);• determ<strong>in</strong>e and quantify the effect of undissociated lactic acid on <strong><strong>in</strong>activation</strong> rate of E. <strong>coli</strong>(<strong>in</strong> the lactic acid range of relevance to UCFM, and at fixed levels of temperature, wateractivity and pH representative of UCFM);• undertake experiments to determ<strong>in</strong>e whether there are synergies <strong>in</strong> the effects of the fourvariables identified above;• develop a predictive model based on the four variables nom<strong>in</strong>ated;• assess the relative importance of each of these factors on <strong><strong>in</strong>activation</strong> rate, and thedeterm<strong>in</strong>e the extent to which they expla<strong>in</strong> the exist<strong>in</strong>g <strong><strong>in</strong>activation</strong> rate data; and• ref<strong>in</strong>e the predictive model for practical application as a tool to assess the efficacy ofmaturation processes on E. <strong>coli</strong> <strong><strong>in</strong>activation</strong>.7.3.3 Fermentation StudiesWe consider it less likely that a reliable broth-based model system could be developed tomimic the microbial ecology of E. <strong>coli</strong> dur<strong>in</strong>g fermentation. Instead we propose thatsystematic studies be undertaken <strong>in</strong> a model meat fermentation process. The objective ofthese studies will be to:a) characterise <strong>in</strong> detail and correlate the changes <strong>in</strong>:• E. <strong>coli</strong> population size,• pH• organic acid concentration• water activity changes• total viable microbial count changesdur<strong>in</strong>g the preparation of the batter and progress of the fermentation. These data willbe comb<strong>in</strong>ed with the rate of <strong><strong>in</strong>activation</strong> model, and exist<strong>in</strong>g growth/no growthmodels tob) test the hypothesis that the composition of the batter is largely unimportant, and thatthe amount of <strong><strong>in</strong>activation</strong> can be predicted on the basis of the time when conditions<strong>in</strong> the batter first prevent growth and the affect of physico-chemical conditions <strong>in</strong> thebatter on <strong><strong>in</strong>activation</strong> rate.7.3.4 Other StudiesThe basis of the third phase <strong><strong>in</strong>activation</strong> seen <strong>in</strong> broth but not <strong>in</strong> UCFM data should beexplored to determ<strong>in</strong>e whether it can be <strong>in</strong>duced to occur <strong>in</strong> UCFM production.7.3.5 Validation StudiesTo assess the reliability of the models created, a series of validation trials under commercialprocess<strong>in</strong>g conditions are required. The results of those trials will be used to further ref<strong>in</strong>ethe models.7.4 Other RecommendationsFew UCFM processes, whether Australian or those of other nations, reliably deliver a 3-logkill. One alternative is to use the knowledge developed <strong>in</strong> the current review, and that whichwill be developed dur<strong>in</strong>g the proposed experimental program, to design processes that doachieve a 3-log kill. It has been noted, however, that many UCFM manufacturers would bePage 47 of 59

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