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Effect of storage temperature on the lag time of Geobacillus stearothermophilus individual spores

机译：贮藏温度对嗜热嗜热地芽孢杆菌单个孢子滞后时间的影响

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摘要

The lag times (X) of Geobacillus stearothermophilus single spores were studied at different storage temperatures ranging from 45 to 59 ℃ using the Bioscreen C method. A significant variability of A was observed among individual spores at all temperatures tested. The storage temperature affected both the position and the spread of the A distributions. The minimum mean value of X (i.e. 10.87 h) was observed at 55 ℃, while moving away from this temperature resulted in an increase for both the mean and standard deviation of A. A Cardinal Model with Inflection (CM1) was fitted to the reverse mean λ, and the estimated values for the cardinal parameters T_(min), T_(max),T_(opt) and the optimum mean λ of G. stearothermophilus were found to be 38.1, 64.2, 53.6 ℃ and 10.3 h, respectively. To interpret the observations, a probabilistic growth model for C. stearothermophilus individual spores, taking into account λ variability, was developed. The model describes the growth of a population, initially consisting of N_0 spores, over time as the sum of cells in each of the N_0 imminent subpopulations originating from a single spore. Growth simulations for different initial contamination levels showed that for low N_0 the number of cells in the population at any time is highly variable. An increase in N_0 to levels exceeding 100 spores results in a significant decrease of the above variability and a shorter A of the population. Considering that the number of G. stearothermophilus surviving spores in the final product is usually very low, the data provided in this work can be used to evaluate the probability distribution of the time-to-spoilage and enable decision-making based on the "acceptable level of risk".
机译：用Bioscreen C方法研究了嗜热地热芽孢杆菌单孢的滞后时间（X），在45至59℃的不同储存温度下。在所有测试温度下，在单个孢子之间观察到A的显着变化。储存温度影响A分布的位置和分布。在55℃观察到X的最小平均值（即10.87 h），而偏离该温度导致A的平均值和标准偏差均增加。将具有拐点的基数模型（CM1）拟合到反面结果表明，嗜热链球菌的基本参数T_（min），T_（max），T_（opt）和最佳平均λ的估计值分别为38.1、64.2、53.6℃和10.3 h。为了解释观察结果，建立了考虑到λ变异性的嗜热链球菌单孢子的概率生长模型。该模型描述了最初由N_0个孢子组成的种群随时间的增长，它是源自单个孢子的N_0个即将来临的亚群中每个细胞的总和。不同初始污染水平的生长模拟表明，对于低N_0而言，种群中任何时候的细胞数量都是高度可变的。 N_0增加到超过100个孢子的水平会导致上述变异性显着降低，种群中的A变短。考虑到最终产品中残存的G. stearothermophilus孢子的数量通常非常少，因此该工作中提供的数据可用于评估变质时间的概率分布，并根据“可接受的风险水平”。

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  • 来源
    《Food microbiology》 |2017年第10期|76-84|共9页
  • 作者

    Myrsini Kakagianni; Juan S. Aguirre; Alexandra Lianou; Konstantinos P. Koutsoumanis;

  • 作者单位

    Laboratory of Food Microbiology and Hygiene, Department of Food Science and Technology, School of Agriculture, Faculty of Agriculture, Forestry and Natural Environment, Aristotle University of Thessaloniki, Thessaloniki 54124, Greece;

    Laboratorio de Microbiologta y Probioticos, INTA, Universidad de Chile, Avenida El Libano 5524, Macul, Santiago, Chile;

    Laboratory of Microbiology and Biotechnology of Foods, Department of Food Science and Human Nutrition, School of Food, Biotechnology and Development, Agricultural University of Athens, /era Odos 75, Athens J18S5, Greece;

    Laboratory of Food Microbiology and Hygiene, Department of Food Science and Technology, School of Agriculture, Faculty of Agriculture, Forestry and Natural Environment, Aristotle University of Thessaloniki, Thessaloniki 54124, Greece;

  • 收录信息 美国《科学引文索引》(SCI);美国《化学文摘》(CA);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Geobacillus stearothermophilus; Individual spore lag time; Lag phase distributions; Variability; Stochastic growth;

    机译：嗜热脂肪地芽孢杆菌;单个孢子滞后时间;滞后相位分布;变化性;随机增长;

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