GBF-Gesellschaft für Biotechnologische Forschung mbH, Bereich Bioverfahrenstechnik, Mascheroder Weg 1, 38124 Braunschweig, Germany.
Biotechnol Bioeng. 1997 Jun 20;54(6):567-76. doi: 10.1002/(SICI)1097-0290(19970620)54:6<567::AID-BIT7>3.0.CO;2-H.
Multiplicity of steady states of a continuous culture with an inhibitory substrate was used to estimate kinetic parameters under steady-state conditions. A continuous culture of Pseudomonas cepacia G4, using phenol as the sole source of carbon and energy, was overloaded by increasing the dilution rate above the critical dilution rate. The culture was then stabilized in the inhibitory branch by a proportional controller using the carbon dioxide concentration in the reactor exhaust gas as the controlled variable and the dilution rate as the manipulated variable. By variation of the set point, several unstable steady states in the inhibitory branch were investigated and the specific phenol conversion rates calculated. In addition, phenol degradation was investigated under substrate limitation (chemostat operation).The results show that the phenol degradation by P. cepacia can be described by the same set of inhibition parameters under substrate limitation and under high substrate concentrations in the inhibitory branch. Biomass yield and maintenance coefficients were identical. Fitting of the data to various inhibition models resulted in the best fit for the Yano and Koga equation. The well-known Haldane model, which is most often used to describe substrate inhibition by phenol, gave the poorest fit. The described method allows a precise data estimation under steady-state conditions from the maximum of the biological reaction rate up to high substrate concentrations in the inhibitory branch. Inhibition parameter estimation by controlling unstable steady states may thus be useful in avoiding discrepancies between data generated by batch runs and their application to continuous cultures which have been often described in the literature. (c) 1997 John Wiley & Sons, Inc. Biotechnol Bioeng 54: 567-576, 1997.
采用具有抑制性基质的连续培养物的稳态多重性来估计稳态条件下的动力学参数。使用苯酚作为唯一的碳源和能源,对假单胞菌 G4 的连续培养物进行超负荷处理,通过将稀释率提高到临界稀释率以上来实现。然后,通过使用反应器废气中的二氧化碳浓度作为控制变量和稀释率作为操纵变量的比例控制器,使培养物在抑制性分支中稳定下来。通过设定点的变化,研究了几个不稳定的抑制性分支中的稳态,并计算了特定的苯酚转化率。此外,还在基质限制(恒化器操作)下研究了苯酚降解。结果表明,在基质限制和抑制性分支中高基质浓度下,假单胞菌对苯酚的降解可以用相同的一组抑制参数来描述。生物量产率和维持系数相同。将数据拟合到各种抑制模型中,得到了 Yano 和 Koga 方程的最佳拟合。最常用于描述苯酚对基质抑制的著名 Haldane 模型的拟合效果最差。所描述的方法允许在从最大生物反应速率到抑制性分支中高基质浓度的稳态条件下,对数据进行精确估计。因此,通过控制不稳定的稳态来估计抑制参数可能有助于避免分批运行产生的数据与文献中经常描述的连续培养物之间的差异。(c)1997 John Wiley & Sons, Inc. 生物技术生物工程 54:567-576,1997.