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Development and Validation of Predictive Model forSalmonella Growth in Unpasteurized LiquidEggs

机译:预测模型的开发与验证。未经巴氏消毒的液体中沙门氏菌的生长蛋

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摘要

Liquid egg products can be contaminated with Salmonella spp. during processing. A predictive model for the growth of Salmonella spp. in unpasteurized liquid eggs was developed and validated. Liquid whole egg, liquid yolk, and liquid egg white samples were prepared and inoculated with Salmonella mixture (approximately 3 Log CFU/mL) containing five serovars (S. Bareilly, S. Richmond, S. Typhimurium monophasic, S. Enteritidis, and S. Gallinarum). Salmonella growth data at isothermal temperatures (5, 10, 15, 20, 25, 30, 35, and 40°C) was collected by 960 h. The population of Salmonella in liquid whole egg and egg yolk increased at above 10°C, while Salmonella in egg white did not proliferate at all temperature. These results demonstrate that there is a difference in the growth of Salmonella depending on the types of liquid eggs (egg yolk, egg white, liquid whole egg) and storage temperature. To fit the growth data of Salmonella in liquid whole egg and egg yolk, Baranyi model was used as the primary model and the maximum growthrate and lag phase duration for each temperature were determined. A secondarymodel was developed with maximum growth rate as a function of temperature. Themodel performance measures, bias factor (Bf,0.96-0.99) and r2 (0.96-0.99) indicated good fit for both primary andsecondary models. In conclusion, it is thought that the growth model can be usedusefully to predict Salmonella spp. growth in various types ofunpasteurized liquid eggs when those are exposed to various temperature and timeconditions during the processing.
机译:液体蛋制品可能被沙门氏菌污染。在处理过程中。沙门氏菌生长的预测模型。在未经巴氏消毒的液态鸡蛋中进行了开发和验证。制备液体全蛋,液体蛋黄和液体蛋清样品,并用沙门氏菌混合物(约3 Log CFU / mL)接种,其中含有五个血清型(S. Bareilly,S。Richmond,S。Typhimurium monophasic,S。Enteritidis和S Gallinarum)在960 h之前收集了等温温度(5、10、15、20、25、30、35和40°C)下沙门氏菌的生长数据。在高于10°C的温度下,液体全蛋和蛋黄中的沙门氏菌数量会增加,而蛋清中的沙门氏菌并不会在所有温度下均增殖。这些结果表明,沙门氏菌的生长取决于液体蛋的类型(蛋黄,蛋清,液体全蛋)和储存温度而有所不同。为了拟合沙门氏菌在液体全蛋和蛋黄中的生长数据,使用Baranyi模型作为主要模型,最大生长确定每个温度的速率和滞后阶段持续时间。中学开发了最大速度与温度有关的模型。的模型效果指标,偏差因子(Bf,0.96-0.99)和r 2 (0.96-0.99)均显示适合初等和初等二级模型。总之,认为可以使用增长模型对预测沙门氏菌很有帮助。各种类型的增长未巴氏消毒的液态蛋,当它们暴露于不同的温度和时间下时处理过程中的条件。

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