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GROWTH/ NO GROWTH MODELS OF DIFFERENT STRESS ADAPTED LISTERIA MONOCYTOGENES STRAINS

机译:不同应激适应性单核细胞增多性单核细胞增多性李斯特菌菌株的生长/无生长模型

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Growth/No Growth models are statistical models used to quantify the combined effect of various growth inhibitors and determine the environmental conditions in which a pathogen is unable to grow. One factor affecting the development of G/NG models is the microbial intraspecies strain variability, as different strains often behave differently when one or more environmental conditions change. This obstacle is overcome by a pre-screening of the strains in order for the most resistant strain to be used. In this experiment, a pre-screening of different Listeria monocytogenes strains revealed that there were different strains exhibiting resistance to different stressing environmental conditions, thus making it not feasible to classify only one as the most resistant. Instead, the produced G/NG model was based on growth data of all 10 tested strains, resulting in a composite model which successfully predicted full growth of L. monocytogenes. Additionally, in comparison to individual strain generated models, the composite model safely predicted bacterial growth in environmental conditions where individual models failed to.
机译:生长/无生长模型是用于量化各种生长抑制剂的综合作用并确定病原体无法生长的环境条件的统计模型。影响G / NG模型发展的一个因素是微生物种内菌株的变异性,因为当一种或多种环境条件发生变化时,不同菌株的行为通常会有所不同。通过预筛选菌株可以克服此障碍,以便使用最抗性的菌株。在该实验中,对不同的单核细胞增生李斯特氏菌菌株的预筛选显示,存在对不同胁迫环境条件显示出抗性的不同菌株,因此使仅将一种菌株归类为最抗性是不可行的。取而代之的是,所产生的G / NG模型基于所有10个测试菌株的生长数据,从而形成了一个复合模型,该模型成功地预测了单核细胞增生李斯特菌的完全生长。此外,与单个菌株生成的模型相比,复合模型可以安全地预测单个模型无法达到的环境条件下细菌的生长。

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