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Generating microbial survival curves during thermal processing in real time

机译:在热处理过程中实时生成微生物生存曲线

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Aims: To develop a method to calculate and record theoretical microbial survival curves during thermal processing of foods and pharmaceutical products simultaneously with the changing temperature. Moreover, to demonstrate that the method can be used to calculate nonisothermal survival curves, with widely available software such as Microsoft Excel((R)).Methods and Results: It has been assumed that the targeted organism's isothermal survival curves are not log linear and hence, the inactivation rate in nonisothermal processes is a function of the momentary temperature and the corresponding survival ratio. This could be expressed by a difference equation, which is an approximation to the continuous rate model. The concept was tested with the isothermal survival parameters of Clostridium botulinum and Bacillus sporothermodurans spores, and Salmonella enteritidis cells, using different kinds of survival models and under temperature profiles resembling those of commercial processes. As expected, there was an excellent agreement between the curves produced by solving the differential equation of the continuous model and by the incremental method, which has been posted on the web as freeware.Conclusions: It is possible to calculate nonisothermal survival curves, in real time, with an algorithm that can be written in the language of general purpose software, to follow the inactivation of one or more targeted organisms simultaneously and to simulate microbial survival patterns under existing or planned industrial thermal processes.Significance and Impact of the Study: Replacement of the traditional 'F-0-value', which requires the log linearity of the organism's isothermal survival curves, by the more realistic theoretical survival ratio estimate as a measure of the thermal process efficacy.
机译:目的:开发一种在温度变化的同时,在食品和药品热处理过程中计算和记录理论微生物存活曲线的方法。此外,为证明该方法可用于Microsoft Excel(R)等广泛使用的软件来计算非等温生存曲线。方法和结果:假定目标生物体的等温生存曲线不是对数线性的,而是因此,非等温过程中的失活率是瞬时温度和相应的存活率的函数。这可以用差分方程表示,该差分方程是连续速率模型的近似值。使用不同种类的存活模型,并在类似于商业过程的温度曲线下,以肉毒梭菌和芽孢杆菌孢子芽孢杆菌以及肠炎沙门氏菌细胞的等温存活参数进行了测试。如预期的那样,通过求解连续模型的微分方程和通过增量方法生成的曲线之间存在极好的一致性,这些曲线已作为免费软件发布在网络上。结论:可以实际计算非等温生存曲线可以使用通用软件的语言编写的算法,同时跟踪一个或多个目标生物的灭活并模拟现有或计划中的工业热过程下的微生物存活模式。研究的意义和影响:替代传统的“ F-0值”,需要有机体的等温生存曲线的对数线性,通过更现实的理论生存率估算值来衡量热加工效率。

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