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摘要:
Microbial cultures are comprised of heterogeneous cells that differ according to their size and intracellular concentrations of DNA, proteins and other constituents. Because of the included level of details, multi-variable cell population balance models (PBMs) offer the most general way to describe the complicated phenomena associated with cell growth, substrate consumption and product formation. For that reason, solving and understanding of such models are essential to predict and control cell growth in the processes of biotechnological interest. Such models typically consist of a partial integro-differential equation for describing cell growth and an ordinary integro-differential equation for representing substrate consumption. However, the involved mathematical complexities make their numerical solutions challenging for the given numerical scheme. In this article, the central upwind scheme is applied to solve the single-variate and bivariate cell population balance models considering equal and unequal partitioning of cellular materials. The validity of the developed algorithms is verified through several case studies. It was found that the suggested scheme is more reliable and effective.
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篇名 Central Upwind Scheme for Solving Multivariate Cell Population Balance Models
来源期刊 应用数学(英文) 学科 医学
关键词 CELL Population BALANCE CELL Growth SUBSTRATE Consumption CENTRAL UPWIND Scheme Equal and Unequal Partitioning of Cells
年,卷(期) 2014,(8) 所属期刊栏目
研究方向 页码范围 1187-1201
页数 15页 分类号 R73
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研究主题发展历程
节点文献
CELL
Population
BALANCE
CELL
Growth
SUBSTRATE
Consumption
CENTRAL
UPWIND
Scheme
Equal
and
Unequal
Partitioning
of
Cells
研究起点
研究来源
研究分支
研究去脉
引文网络交叉学科
相关学者/机构
期刊影响力
应用数学(英文)
月刊
2152-7385
武汉市江夏区汤逊湖北路38号光谷总部空间
出版文献量(篇)
1878
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0
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0
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