A structured-segregated dynamic model for biomass growth, sucrose utilization and flavonoid production in Ocimum tenuiflorum suspension culture is proposed, considering a dynamic heterogeneous population of viable active, viable nonactive and dead cell. The sucrose hydrolysis (into glucose and fructose), substrate uptake by biomass and intracellular flavonoid production are modelled using Contois kinetics, a competitive double-substrate Monod, and Luedeking–Piret model, respectively. The conversion of active to viable-nonactive biomass has been formulated as a function of the total substrate and biomass concentrations. Parameters for the dynamic model are evaluated while minimizing the sum of square errors between modelled and measured biomass, cell viability, glucose, fructose and intracellular flavonoid contents. Bootstrap confidence intervals and dynamic relative sensitivity analysis of these model parameters are presented. The knowledge gained from the population-based model in plant suspension culture can provide the basic framework for prediction and optimization of the bioprocess system for phytochemical production.

Ocimum tenuiflorum生物量生长、蔗糖利用和类黄酮生产的结构分离动态模型考虑到活细胞、活的非活细胞和死细胞的动态异质群体，建议悬浮培养。蔗糖水解（转化为葡萄糖和果糖）、生物量的底物吸收和细胞内黄酮类化合物的产生分别使用 Contois 动力学、竞争性双底物 Monod 和 Luedeking-Piret 模型进行建模。活性生物量到活性-非活性生物量的转化已被公式化为总底物和生物量浓度的函数。评估动态模型的参数，同时最小化建模和测量的生物量、细胞活力、葡萄糖、果糖和细胞内类黄酮含量之间的平方误差总和。介绍了这些模型参数的 Bootstrap 置信区间和动态相对敏感性分析。