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Modelling of bacterial growth with shifts in temperature using automated methodswith Listeria monocytogenes and Pseudomonas aeruginosa as examples

机译:使用自动化方法对温度变化的细菌生长进行建模以单核细胞增生李斯特菌和铜绿假单胞菌为例

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摘要

Time to detection (TTD) measurements using turbidometry allow a straightforwardmethod for the measurement of bacterial growth rates under isothermalconditions. Growth rate measurements were carried out for Listeria monocytogenesat 25, 30 and 37°C and for Pseudomonas aeruginosa over the temperature range 25to 45°C. The classical three-parameter logistic model was rearranged to providethe theoretical foundation for the observed TTD. A model was subsequentlydeveloped for the analysis of TTD data from non-isothermal studies based on theMalthusian approximation of the logistic model. The model was able to predictthe TTD for cultures of L. monocytogenes or P. aeruginosa undergoing simpletemperature shunts (e.g. 25 to 37°C and vice versa), and for a multipletemperature shunt for L. monocytogenes (25-37-25-37°C and 37-25-37-25°C) over aperiod of 24h. In no case did a temperature shunt induce a
机译:使用浊度法的检测时间(TTD)测量为在等温条件下测量细菌生长速率提供了一种简单的方法。在25、30和37°C的温度范围内对单核细胞增生李斯特菌和铜绿假单胞菌进行了生长速率测量。重新布置了经典的三参数逻辑模型,为观测到的TTD提供了理论基础。随后基于逻辑模型的马尔萨斯近似,开发了一个模型,用于分析非等温研究中的TTD数据。该模型能够预测单核细胞增生李斯特菌或铜绿假单胞菌培养物经历简单温度分流(例如25至37°C,反之亦然)以及多温度分流培养单核细胞增生李斯特氏菌(25-37-25-37°)的TTD C和37-25-37-25°C),持续24小时。在任何情况下,温度分流器都不会引起

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