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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测量的链球菌嗜热素分批发酵过程中乳酸浓度的在线估计

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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:本文介绍了一种基于模型的发酵肉汤中产品形成的在线估计的方法。在细菌链球菌的pH控制和不受控制的发酵中证明了所提出的方法的验证。由于不能在线测量细菌产生的乳酸的浓度,但是是预测生物质的收获时间的必要条件,必须从在线上获得的测量估计。唯一的在线可用测量是发酵液的pH值,另外,在pH控制实验中,添加的碱量。利用基于基于模型的方法,基于在发酵液中形成的化学成分的化学平衡方程,即使培养基是复合物的,也可以建模pH的变化,并且离子组合物不恰好已知。基于模型的方法引入了模型酸基础系统,该系统精确地描述了介质的酸基部特性。必须识别诸如浓度和解离常数的模型参数,并且对培养基特定。实验结果表明乳酸浓度估计的高精度。

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