Peleg M, Normand M D, Corradini M G
Department of Food Science, Chenoweth Laboratory, University of Massachusetts, Amherst, MA 01003, USA.
J Appl Microbiol. 2005;98(2):406-17. doi: 10.1111/j.1365-2672.2004.02487.x.
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.
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.
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.
Replacement of the traditional 'F0-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.
开发一种方法,在食品和药品热加工过程中温度变化的同时,计算并记录理论微生物存活曲线。此外,证明该方法可用于使用诸如Microsoft Excel等广泛可用的软件计算非等温存活曲线。
假定目标生物体的等温存活曲线不是对数线性的,因此非等温过程中的失活速率是瞬时温度和相应存活比的函数。这可以用一个差分方程来表示,它是连续速率模型的一种近似。使用不同类型的存活模型,并在类似于商业过程的温度曲线下,用肉毒梭菌和嗜热栖热芽孢杆菌孢子以及肠炎沙门氏菌细胞的等温存活参数对该概念进行了测试。正如预期的那样,通过求解连续模型的微分方程和通过增量法产生的曲线之间有很好的一致性,增量法已作为免费软件发布在网上。
可以用一种能用通用软件语言编写的算法实时计算非等温存活曲线,以同时跟踪一种或多种目标生物体的失活情况,并模拟现有或计划中的工业热加工过程中的微生物存活模式。
用更现实的理论存活比估计值取代传统的“F0值”,作为热加工效果的一种衡量,传统的“F0值”要求生物体的等温存活曲线是对数线性的。