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A modified gompertz model to predict microbial inactivation under time-varying temperature conditions

机译:改进的Gompertz模型可预测时变温度条件下的微生物灭活

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摘要

Development of effective heat treatments is crucial to achieve food products safety, and predictive microbiology is an excellenttool to design adequate processing conditions.This work focuses on the application of a modified Gompertz model to describe the inactivation behaviour under time-varyingtemperature conditions at the surface of a food product. Kinetic studies were carried out assuming two different heating regimes,typically used in surface pasteurisation treatments, and compared with isothermal conditions. Parameters were estimated on thebasis of generated pseudo-experimental data. It was concluded that the heating period greatly affects microbial inactivation andparameter estimation. If a slow heating treatment is used, the process time should be extended to achieve a given microbial loadwhen compared to a fast heating process. This is explained by the fact that, in the slow heating rate process the temperaturewas below the lowest temperature for inactivation for a much longer time, in comparison with the fast heating regime. 2005 Elsevier Ltd. All rights reserved.
机译:有效热处理的发展对实现食品安全至关重要,预测微生物学是设计适当加工条件的出色工具。这项工作着重于应用改良的Gompertz模型来描述时变温度条件下食品表面的失活行为。食品。在假定两种不同的加热方式(通常用于表面巴氏灭菌处理)的条件下进行了动力学研究,并与等温条件进行了比较。根据生成的伪实验数据估计参数。结论是加热时间对微生物的灭活和参数估计有很大影响。如果使用慢速加热处理,则与快速加热过程相比,应延长处理时间以达到给定的微生物负荷。这可以通过以下事实来解释:与快速加热方式相比,在缓慢加热速率的过程中,温度低于最低温度才能失活更长的时间。 2005 Elsevier Ltd.保留所有权利。

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