Food Research Centre Moorepark, Teagasc, Fermoy, Co. Cork, Ireland.
J Appl Microbiol. 2010 Nov;109(5):1790-9. doi: 10.1111/j.1365-2672.2010.04807.x. Epub 2010 Jul 23.
To determine growth initiation differences of Listeria monocytogenes between a cheesemaking context, milk and tryptic soy broth (TSB).
A laboratory-scale cheese was made with a mix of two strains of L. monocytogenes at four initial pH values, five water activity (a(w)) values and two contamination levels at 30°C. Counts of L. monocytogenes were determined at time 0 and after 8h of cheese manufacture. Milk and TSB at the same pH and a(w) conditions were inoculated with the L. monocytogenes mix in multi-well plates. Growth was determined by plating each well onto Agosti & Ottaviani Listeria Agar after 8h of incubation at 30°C. Each condition was repeated six times, and growth initiation probability was modelled with logistic regression models. Growth initiation boundaries were obtained for each matrix type. The results showed that the growth limits were matrix dependent. In the three matrix types, a(w) was the most important factor affecting the probability of growth initiation. Contamination level affected growth TSB and cheesemaking conditions.
The interface wideness and position in cheese, milk and TSB were dissimilar, indicating that the use of models evaluated in TSB or milk could not be used to predict the behaviour of L. monocytogenes under cheesemaking conditions.
Predictive models generated in liquid media are not necessarily adaptable to solid food, and the generation of real food models is necessary.
确定单核细胞增生李斯特菌在奶酪制作环境、牛奶和胰蛋白酶大豆肉汤(TSB)中的生长起始差异。
在 30°C 下,使用两种单核细胞增生李斯特菌菌株混合物,在四个初始 pH 值、五个水活度(a(w))值和两个污染水平下,制作实验室规模的奶酪。在奶酪制作 0 小时和 8 小时后,确定单核细胞增生李斯特菌的计数。将 pH 和 a(w)条件相同的牛奶和 TSB 接种在多孔板中的单核细胞增生李斯特菌混合物中。在 30°C 下孵育 8 小时后,通过将每个孔平板接种到 Agosti 和 Ottaviani李斯特菌琼脂上来确定生长情况。每种条件重复六次,并使用逻辑回归模型对生长起始概率进行建模。为每种基质类型获得了生长起始边界。结果表明,生长限制取决于基质。在三种基质类型中,a(w)是影响生长起始概率的最重要因素。污染水平影响 TSB 和奶酪制作条件下的生长。
奶酪、牛奶和 TSB 中的界面宽度和位置不同,表明在 TSB 或牛奶中评估的模型不能用于预测单核细胞增生李斯特菌在奶酪制作条件下的行为。
在液体培养基中生成的预测模型不一定适用于固体食品,因此有必要生成真实食品模型。