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Stress-adaptive responses by heat under the microscope of predictive microbiology

机译:预测微生物学显微镜下热对应力的响应

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In previous studies the microbial kinetics of Escherichia coli K12 have been evaluated under static and dynamic conditions ( Valdramidis et al. 2005, 2006 ). An acquired microbial thermotolerance following heating rates lower than 0p"82pC minp# for the studied micro-organism was observed. Quantification of this induced physiological phenomenon and incorporation, as a model building block, in a general microbial inactivation model is the main outcome of this work. The microbial inactivation rate observed (kobs) under time-varying temperature conditions is studied and expressed as a function of the heating rate (dT/ dt). Hereto, a model building block related to the microbial physiology (kphys) under stress conditions is developed. Evaluation of the performance of the developed mathematical approach depicts that physiological adaptation is an essential issue to be considered when modelling microbial inactivation. Consideration, at a mathematical level, of microbial responses resulting in physiological adaptations contribute to the reliable quantification of the safety risks during food processing. By taking into account the physiological adaptation, the microbiological evolution during heat processing can be accurately assessed, and overly conservative or fail dangerous food processing designs can be avoided.
机译:在以前的研究中,已经在静态和动态条件下评估了大肠杆菌K12的微生物动力学(Valdramidis等,2005,2006)。对于所研究的微生物,观察到加热速率低于0p“ 82pC minp#之后获得的微生物耐热性。这种诱导的生理现象的定量和作为模型构建基团的掺入作为一般微生物灭活模型的主要结果。研究了在时变温度条件下观察到的微生物失活率(kobs),并将其表示为加热速率(dT / dt)的函数,本文建立了与压力条件下微生物生理学(kphys)相关的模型构建块对已开发的数学方法的性能的评估表明,在对微生物灭活进行建模时,生理适应性是必须考虑的重要问题,在数学层面上对导致生理适应性的微生物反应的考虑有助于安全性的可靠量化。食品加工过程中的风险。因此,可以准确评估热处理过程中的微生物演变,并可以避免过于保守或失败的危险食品加工设计。

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