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对孢子抗性进行量化,以评估和优化加热过程:一个永无止境的故事。

Quantification of spore resistance for assessment and optimization of heating processes: a never-ending story.

机构信息

Université de Bretagne Occidentale, UMT Physiopt, Laboratoire Universitaire de Biodiversité et d' Ecologie Microbienne 6, rue de l'Université, 29334 Quimper, France.

出版信息

Food Microbiol. 2010 Aug;27(5):568-72. doi: 10.1016/j.fm.2010.03.002. Epub 2010 Mar 16.

Abstract

The assessment and optimization of food heating processes require knowledge of the thermal resistance of target spores. Although the concept of spore resistance may seem simple, the establishment of a reliable quantification system for characterizing the heat resistance of spores has proven far more complex than imagined by early researchers. This paper points out the main difficulties encountered by reviewing the historical works on the subject. During an early period, the concept of individual spore resistance had not yet been considered and the resistance of a strain of spore-forming bacterium was related to a global population regarded as alive or dead. A second period was opened by the introduction of the well-known D parameter (decimal reduction time) associated with the previously introduced z-concept. The present period has introduced three new sources of complexity: consideration of non log-linear survival curves, consideration of environmental factors other than temperature, and awareness of the variability of resistance parameters. The occurrence of non log-linear survival curves makes spore resistance dependent on heating time. Consequently, spore resistance characterisation requires at least two parameters. While early resistance models took only heating temperature into account, new models consider other environmental factors such as pH and water activity ("horizontal extension"). Similarly the new generation of models also considers certain environmental factors of the recovery medium for quantifying "apparent heat resistance" ("vertical extension"). Because the conventional F-value is no longer additive in cases of non log-linear survival curves, the decimal reduction ratio should be preferred for assessing the efficiency of a heating process.

摘要

食品加热过程的评估和优化需要了解目标孢子的热阻。尽管孢子抗性的概念看起来很简单,但建立一个可靠的量化系统来描述孢子的耐热性却比早期研究人员想象的要复杂得多。本文通过回顾该主题的历史文献指出了主要的困难。在早期,尚未考虑单个孢子抗性的概念,而产孢细菌的抗性与被认为存活或死亡的整体种群有关。引入与先前引入的 z 概念相关的著名 D 参数(十进制减少时间)开创了第二个时期。本期引入了三个新的复杂性来源:考虑非对数线性存活曲线、考虑除温度以外的环境因素以及对抗性参数可变性的认识。非对数线性存活曲线的出现使得孢子抗性取决于加热时间。因此,孢子抗性表征至少需要两个参数。虽然早期的抗性模型仅考虑加热温度,但新模型考虑了其他环境因素,如 pH 值和水活度(“水平扩展”)。同样,新一代模型还考虑了恢复介质中的某些环境因素,以量化“表观耐热性”(“垂直扩展”)。由于在非对数线性存活曲线的情况下,常规 F 值不再具有加和性,因此应该首选十进制减少比来评估加热过程的效率。

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