Davey H M, Davey C L, Woodward A M, Edmonds A N, Lee A W, Kell D B
Institute of Biological Sciences, University of Wales, Aberystwyth, UK.
Biosystems. 1996;39(1):43-61. doi: 10.1016/0303-2647(95)01577-9.
We describe a continuous culture system related to the turbidostat, but using a feedback system based on biomass estimation from the dielectric permittivity of the cell suspension rather than its optical density. It is shown that this system provides an excellent method of maintaining a constant biomass level within a fermentor. The computer-controlled system was able to effect the essentially continuous registration of growth rate by monitoring the rate of medium addition via the time-dependent activity of the pump. At some biomass setpoints for aerobically grown cultures of baker's yeast substantial time-dependent fluctuations in the growth rate of the culture were thereby observed. At some biomass setpoints, however, or under anaerobic conditions, or when using a non-Crabtree yeast, the growth rate was constant, indicating that the fluctuations were inherent to the biological system and not simply a property of the fermentor and control system. A variety of time series analyses (Fourier transformations, Hurst and Lyapunov exponents, the determination of embedding dimension, and non-linear time series predictions based on the methodology of Sugihara and May) were used to demonstrate, for the first time, that as well as stochastic and periodic components these fluctuations exhibited deterministic chaos. 'Trivial predictors' were unable to give accurate predictions of the growth rate in these cultures. The growth rate fluctuations were studied further by means of offline measurements of changes in percentage viability, bud count, and in the external ethanol and glucose concentrations; these data and other evidence suggested that the growth rate fluctuations were closely linked to the primary respiro-fermentative metabolism of this organism. The identification of chaotic growth rates in cell cultures suggests that there may be novel methods for controlling the growth of such cultures.
我们描述了一种与恒浊器相关的连续培养系统,但该系统使用基于细胞悬浮液介电常数而非光密度来估算生物量的反馈系统。结果表明,该系统提供了一种在发酵罐内维持恒定生物量水平的极佳方法。通过监测泵随时间的活动来控制培养基添加速率,计算机控制系统能够实现对生长速率的基本连续记录。由此观察到,在面包酵母需氧培养的某些生物量设定点,培养物的生长速率存在显著的随时间变化的波动。然而,在某些生物量设定点、厌氧条件下或使用非 Crabtree 酵母时,生长速率是恒定的,这表明这些波动是生物系统所固有的,而非仅仅是发酵罐和控制系统的特性。首次使用了多种时间序列分析方法(傅里叶变换、赫斯特指数和李雅普诺夫指数、嵌入维数的确定以及基于 Sugihara 和 May 方法的非线性时间序列预测)来证明,除了随机和周期性成分外,这些波动还表现出确定性混沌。“简单预测器”无法准确预测这些培养物中的生长速率。通过离线测量存活率百分比、芽数以及外部乙醇和葡萄糖浓度的变化,进一步研究了生长速率波动;这些数据和其他证据表明,生长速率波动与该生物体的主要呼吸发酵代谢密切相关。细胞培养中混沌生长速率的识别表明,可能存在控制此类培养物生长的新方法。