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预测性食品微生物学的数学原理

Mathematics of predictive food microbiology.

作者信息

Baranyi J, Roberts T A

机构信息

Institute of Food Research, Reading Laboratory, UK.

出版信息

Int J Food Microbiol. 1995 Jul;26(2):199-218. doi: 10.1016/0168-1605(94)00121-l.

DOI:10.1016/0168-1605(94)00121-l
PMID:7577358
Abstract

Commonly encountered problems related to modelling bacterial growth in food are analysed from a mathematical point of view. Modelling techniques and terms, some misused, are discussed and an attempt is made to clarify how, and under what conditions, they may be used. A theoretical framework is given to provide a basis in which mathematical models having been used in predictive microbiology can be embedded. By using several simplifying idealizations as a compromise between the complexity of the biological system and the available data, a practically usable model becomes available.

摘要

从数学角度分析了食品中细菌生长建模常见的相关问题。讨论了建模技术和术语,其中一些存在误用情况,并尝试阐明它们如何以及在何种条件下可以使用。给出了一个理论框架,为预测微生物学中已使用的数学模型提供一个可嵌入的基础。通过采用几种简化的理想化方法作为生物系统复杂性与可用数据之间的折衷,得到了一个实际可用的模型。

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