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A population balance model for bioreactors combining interdivision time distributions and micromixing concepts

机译:互动时间分布与微混凝概念的生物反应器人口平衡模型

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The present paper focuses on the development of a population balance model (PBM) accounting for microbial population dynamics in a fluctuating environment. Heterogeneity within the cell population has two origins: extrinsic/intrinsic noises (cell to cell variability due to biological processes) and external noise (due to fluctuations in the cell environment). Modelling the effects of concentration gradients on the population heterogeneity was addressed in previous works using a population balance model based on the specific growth rate. However that model was unable to predict the distribution of specific growth rates experimentally observed at steady state. Using recent experimental data, we now propose a suitable law for the probability that cells growing at a given specific rate produce daughter cells with a different growth rate. Characteristic times of substrate assimilation and mixing at the cell scale are then combined to produce a generic model for substrate uptake limited by micromixing. The simulated results compare favorably to experimental observations leading to a robust multiscale model for bioreactor dynamics combining liquid-cell mass transfer and population heterogeneity. (C) 2016 Elsevier B.V. All rights reserved.
机译:本文重点介绍了在波动环境中的微生物种群动态的人口平衡模型(PBM)的发展。细胞群内的异质性具有两种起源:外部/内在噪声(由于生物过程引起的细胞可变性)和外部噪声(由于细胞环境的波动)。以基于特定增长率的人口平衡模型在先前的作品中解决了浓度梯度对群体异质性的影响。然而,该模型无法预测在稳定状态下实验观察到的特定生长速率的分布。使用最近的实验数据,我们现在提出了合适的法律,即在给定的特定速率下生长的细胞产生具有不同生长速率的子细胞。然后将基质同化和混合在细胞比例中混合的特征时间,以产生通过微混凝的底物摄取的通用模型。模拟结果对实验观察结果进行了比较,导致生物反应器动力学的鲁棒多尺度模型组合液体传质和群体异质性。 (c)2016年Elsevier B.v.保留所有权利。

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