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On-line estimation of lactic acid concentration during batch fermentations of Streptococcus thermophilus based on pH measurement

机译:基于pH测量的嗜热链球菌批量发酵过程中乳酸浓度的在线估算

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In this paper a model-based approach for on-line estimation of product formation in a fermentation broth is presented. The validation of the proposed method is demonstrated both in pH controlled and uncontrolled fermentation of the bacteria Streptococcus thermophilus. As the concentration of lactic acid produced by the bacteria can not be measured on-line, but is a requisite for predicting the harvesting time of the biomass, it has to be estimated from measurements that are available on-line. The only on-line available measurements are the pH value of the fermentation broth, and additionally, in pH controlled experiments, the amount of base added. Using a model-based approach based on chemical balance equations of the chemical components forming in the fermentation broth, changes in pH can be modelled even if the medium is complex and the ionic composition not exactly known. The model-based approach introduces a model acid-base system that exactly describes the acid-base characteristics of the medium. The model parameters such as concentrations and dissociation constants have to be identified off-line and are specific for the medium. Results from experiments show high accuracy in the estimation of lactic acid concentration.
机译:在本文中,提出了一种基于模型的方法,用于在线评估发酵液中的产物形成。在嗜热链球菌的pH控制和非控制发酵中都证明了该方法的有效性。由于细菌产生的乳酸浓度无法在线测量,而是预测生物量收获时间的必要条件,因此必须从在线可用的测量值中进行估算。唯一可用的在线测量是发酵液的pH值,此外,在pH控制的实验中,还需要添加碱的量。使用基于模型的方法,该方法基于发酵液中形成的化学成分的化学平衡方程式,即使介质复杂且离子组成未知,也可以对pH的变化进行建模。基于模型的方法引入了模型酸碱系统,该系统准确地描述了介质的酸碱特性。诸如浓度和解离常数之类的模型参数必须离线识别,并且对于介质是特定的。实验结果表明,乳酸浓度的估算具有很高的准确性。

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