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首页> 外文期刊>Australian Journal of Dairy Technology >Predictive models developed in cheese for growth of Listeria monocytogenes.
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Predictive models developed in cheese for growth of Listeria monocytogenes.

机译：在奶酪中建立了单核细胞增生李斯特菌生长的预测模型。

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EU regulations on the presence of Listeria monocytogenes in certain cheeses are based on the ability of the cheese to support the growth of L. monocytogenes. The aim of this study was, in separate experiments, to simulate milk contamination and environmental cross-contamination of cheese, respectively, with L. monocytogenes and determine the growth rate for each scenario using predictive models. For the milk contamination scenario, pasteurised and raw milk were inoculated with a mix of two strains of L. monocytogenes (strain 6179 a persistent strain isolated at a cheese plant and strain C5 isolated from the farm environment). The pH, lactic acid, water activity (aw) and numbers of L. monocytogenes were monitored during cheesemaking (5 h). For the cross-contamination scenario, Listeria free commercial smear ripened semi-soft raw milk cheeses were surface inoculated with the same strain mix of L. monocytogenes. During ripening, pH, aw and L. monocytogenes numbers were determined. For pasteurised milk cheesemaking and raw milk cheese ripening conditions, growth of L. monocytogenes was observed. Using cardinal models, the values of the optimum growth rates ( micro opt) were estimated at 1.30 log cfu/h during cheesemaking and 0.28 log cfu/day during ripening. If environmental factors are monitored, it is possible to simulate the behaviour of Listeria and assess the optimal growth rate.
机译：欧盟有关某些奶酪中单核细胞增生李斯特菌（i）的法规是基于奶酪支持 L增长的能力。单核细胞增生。这项研究的目的是在单独的实验中分别模拟iL对奶酪的牛奶污染和环境交叉污染。单核细胞增生，并使用预测模型确定每种情况的增长率。对于牛奶污染的情况，将巴氏杀菌和生牛奶分别接种两株L的混合物。单核细胞增生病（6179株是在干酪工厂分离的持久性菌株，C5株是从农场环境分离的）。 pH，乳酸，水活度（a ）和 L数。在奶酪制作过程中（5小时）对单核细胞增生病进行了监测。对于交叉污染的情况，将利斯特氏菌免费商业涂片成熟的半软生乳奶酪表面接种相同的 L菌株混合物。单核细胞增生。在成熟过程中，pH，a w 和 L。确定了单核细胞增生病的数量。对于巴氏消毒的牛奶干酪制造和原始的牛奶干酪成熟条件，L的生长。观察到单核细胞增生使用基数模型，最佳生长速率（micro opt ）的值估计在奶酪制作过程中为1.30 log cfu / h，在成熟过程中为0.28 log cfu / day。如果监控环境因素，则有可能模拟李斯特菌的行为并评估最佳生长速度。

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