Schediwy Kira, Trautmann Andreas, Steinweg Christian, Posten Clemens
Institute of Process Engineering in Life Sciences, Section III: Bioprocess Engineering Karlsruhe Institute of Technology (KIT) Karlsruhe Germany.
Process Scale Up and PD Support, Lonza AG Visp Switzerland.
Eng Life Sci. 2019 Oct 14;19(12):830-843. doi: 10.1002/elsc.201900107. eCollection 2019 Dec.
Kinetics generally describes bio-(chemical) reaction rates in dependence on substrate concentrations. Kinetics for microalgae is often adapted from heterotrophs and lacks mechanistic foundation, e.g. for light harvesting. Using and understanding kinetic equations as the representation of intracellular mechanisms is essential for reasonable comparisons and simulations of growth behavior. Summarizing growth kinetics in one equation does not yield reliable models. Piecewise linear or rational functions may mimic photosynthesis irradiance response curves, but fail to represent the mechanisms. Our modeling approach for photoautotrophic growth comprises physical and kinetic modules with mechanistic foundation extracted from the literature. Splitting the light submodel into the modules for light distribution, light absorption, and photosynthetic sugar production with independent parameters allows the transfer of kinetics between different reactor designs. The consecutive anabolism depends among others on nutrient concentrations. The nutrient uptake kinetics largely impacts carbon partitioning in the reviewed stoichiometry range of cellular constituents. Consecutive metabolic steps mask each other and demand a maximum value understandable as the minimum principle of growth. These fundamental modules need to be clearly distinguished, but may be modified or extended based on process conditions and progress in research. First, discussion of kinetics helps to understand the physiological situation, for which ranges of parameter values are given. Second, kinetics should be used for photobioreactor design, but also for gassing and nutrient optimization. Numerous examples are given for both aspects. Finally, measuring kinetics more comprehensively and precisely will help in improved process development.
动力学通常描述生物(化学)反应速率与底物浓度的关系。微藻的动力学通常借鉴自异养生物,缺乏如光捕获等的机理基础。将动力学方程作为细胞内机制的表征来使用和理解,对于合理比较和模拟生长行为至关重要。用一个方程总结生长动力学无法得出可靠的模型。分段线性或有理函数可能会模拟光合作用辐照度响应曲线,但无法代表其机制。我们用于光合自养生长的建模方法包括从文献中提取的具有机理基础的物理和动力学模块。将光子模型分解为具有独立参数的光分布、光吸收和光合糖生产模块,可实现不同反应器设计之间的动力学转移。连续的合成代谢尤其取决于营养物质浓度。在所综述的细胞成分化学计量范围内,营养物质吸收动力学对碳分配有很大影响。连续的代谢步骤相互掩盖,需要一个可理解为生长最小原理的最大值。这些基本模块需要明确区分,但可根据工艺条件和研究进展进行修改或扩展。首先,动力学讨论有助于理解给出参数值范围的生理状况。其次,动力学不仅应用于光生物反应器设计,还应用于通气和营养优化。文中针对这两个方面给出了大量示例。最后,更全面、精确地测量动力学将有助于改进工艺开发。