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首页> 外文期刊>Journal of Food Science >Stochastic and Deterministic Model of Microbial Heat In activation
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Stochastic and Deterministic Model of Microbial Heat In activation

机译：活化中微生物热的随机和确定性模型

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Microbial inactivation is described by a model based on the changing survival probabilities of individual cells or spores. It is presented in a stochastic and discrete form for small groups, and as a continuous deterministic model for larger populations. If the underlying mortality probability function remains constant throughout the treatment, the model generates first-order ("log-linear") inactivation kinetics. Otherwise, it produces survival patterns that include Weibullian ("power-law") with upward or downward concavity, tailing with a residual survival level, complete elimination, flat "shoulder" with linear or curvilinear continuation, and sigmoid curves. In both forms, the same algorithm or model equation applies to isothermal and dynamic heat treatments alike. Constructing the model does not require assuming a kinetic order or knowledge of the inactivation mechanism. The general features of its underlying mortality probability function can be deduced from the experimental survival curve's shape. Once identified, the function's coefficients, the survival parameters, can be estimated directly from the experimental survival ratios by regression. The model is testable in principle but matching the estimated mortality or inactivation probabilities with those of the actual cells or spores can be a technical challenge. The model is not intended to replace current models to calculate sterility. Its main value, apart from connecting the various inactivation patterns to underlying probabilities at the cellular level, might be in simulating the irregular survival patterns of small groups of cells and spores. In principle, it can also be used for nonthermal methods of microbial inactivation and their combination with heat.
机译：基于单个细胞或孢子存活率变化的模型描述了微生物失活。对于小型群体，它以随机和离散形式出现，对于较大的人群，它是连续的确定性模型。如果潜在的死亡率概率函数在整个治疗过程中保持恒定，则该模型将生成一阶（“对数线性”）失活动力学。否则，它会产生生存模式，包括上凹或凹下的威布尔连（“幂律”），残留残存水平的尾矿，完全消除，线性或曲线连续的平坦“凸肩”以及S型曲线。在这两种形式中，相同的算法或模型方程式均适用于等温和动态热处理。构建模型不需要假设动力学顺序或了解灭活机理。其潜在的死亡率概率函数的一般特征可以从实验生存曲线的形状推导出。一旦确定，就可以通过回归直接从实验生存率中估算出函数的系数，生存参数。该模型原则上可以测试，但是将估计的死亡率或失活概率与实际细胞或孢子的死亡率或失活概率进行匹配可能是一项技术挑战。该模型无意替代当前模型来计算无菌性。除了将各种灭活模式与潜在的细胞水平联系起来以外，它的主要价值还在于模拟小群细胞和孢子的不规则存活模式。原则上，它也可以用于微生物灭活的非热方法及其与热的结合。

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