Population dynamics model for plasmid bearing and plasmid lacking cells for streptokinase production in continuous flow stirred tank bioreactor
Population dynamics model for plasmid bearing and plasmid lacking cells for streptokinase production in continuous flow stirred tank bioreactor
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DOI：
10.4314/ijest.v2i5.60129
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发表时间：
2010-09
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影响因子：
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通讯作者：
Pavan Kumar;Sanjoy Ghosh
中科院分区：
文献类型：
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作者：
Pavan Kumar;Sanjoy Ghosh
生物反应器中链激酶的产生与细胞群动态密切相关。已确定的事实是，从重组细胞群的初始池中发现了两种类型的细胞群。这种现象导致产品产量的不期望的损失。初级代谢物，如乙酸等，是代谢副产物，在调节竞争性和抑制性动力学方面具有重要作用。人们发现代谢物发挥着至关重要的作用，因为它们的阈值被认为可以促进缺乏质粒的细胞的形成。另一方面，质粒丢失的概率显示出模型动态变化的趋势。在本研究中，设计了具有耦合微分方程的过程模型来揭示各种参数之间的相互作用。关键词：链激酶，生物反应器，初级代谢产物，质粒丢失，计算机模拟，模型动力学
Streptokinase production in bioreactor is well associated to cell population dynamics. It is an established fact that two types of cell populations are found to emerge from the initial pool of recombinant cell population. This phenomenon leads to an undesired loss in yield of the product. Primary metabolites, like acetic acid etc are formed as by-product of metabolism, has its influential role in regulating the competitive and inhibitory dynamics. Metabolites are found to play a crucial role since their threshold amount is assumed to promote the formation of plasmid lacking cells. On the other hand probability of plasmid loss has shown to follow a variable trend in the model dynamics. In this study a process model with coupled differential equations is designed to reveal the interaction among various parameters. Keywords: streptokinase, bioreactor, primary metabolites, plasmid loss, computer simulation, model dynamics