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On Modeling the Effect of Water Activity on Microbial Growth and Mortality Kinetics

机译:关于水分活度对微生物生长和死亡率动力学影响的建模研究

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The effect of moisture on the growth of different kinds of bacteria, yeasts, and molds in or on foods has traditionally been depicted in the form of a rate vs. water activity (a_w) plot such as that shown in Fig. 1. The rate curve of each organism type begins (or ends) at a point along the a_w-axis. At lower a_w levels, presumably, the particular type of organism does not grow, i.e., its growth rate is zero. While such plots can and have been successfully used to identify safe water activities for food storage, for example, they do not always tell the whole story. One reason is that the borderline between growth and no-growth is rarely sharp. Another reason is that a plot of this kind does not fully reveal what happens above the marked water activity threshold. Moreover, in many foods, water activity control is accompanied by a drying process, in which case the temperature history may affect the type or number of organisms remaining in the food, and/or the introduction of a complementary agent such as salt or chemical preservative. To deal with these aspects of microbial growth inhibition, it is necessary to develop a kinetic model of growth whose parameters account for the role of all pertinent factors that affect a food's biological stability and that of their interactions. The same can be said about chemical and physical changes that inevitably occur during food preservation, especially when heat or drying is involved. Such changes can consist of two kinds: degradation, notably the loss of freshness and nutrients, or synthesis, notably the accumulation of Maillard reaction products, but also other compounds that impart off flavor. Water activity, and factors such as pH and salt concentration, affect the heat resistance not only of microorganisms, including bacterial spores, but also of enzymes. The subject has been amply studied and there is a large body of literature covering its various aspects.
机译:传统上,水分对食物中或食物上不同种类细菌,酵母和霉菌的生长的影响以速率与水分活度(a_w)图的形式表示,如图1所示。每种生物类型的曲线在a_w轴上的某个点开始(或结束)。在较低的a_w水平下,推测特定类型的生物体不会生长,即其生长速度为零。例如,尽管这些地块可以并且已经成功地用于识别用于食品储存的安全水活动,但它们并不总是能说明全部故事。原因之一是增长与无增长之间的界限很少清晰。另一个原因是,这种图无法完全揭示超出标记的水活度阈值的情况。此外,在许多食品中,水分活度控制伴随着干燥过程,在这种情况下,温度历史记录可能会影响食品中残留的生物的类型或数量,和/或引入诸如盐或化学防腐剂的补充剂。为了解决微生物生长抑制的这些方面,有必要建立一个生长动力学模型,该模型的参数说明影响食品生物稳定性及其相互作用的所有相关因素的作用。关于食品保存过程中不可避免发生的化学和物理变化,尤其是涉及加热或干燥时,也可以这样说。这种变化可以包括两种:降解,特别是新鲜度和营养的损失,或合成,特别是美拉德反应产物的积累,以及其他散发出香味的化合物。水分活度以及诸如pH和盐浓度之类的因素不仅会影响包括细菌孢子在内的微生物的耐热性,还会影响酶的耐热性。已经对该主题进行了充分的研究,并且有大量文献涉及其各个方面。

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