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首页> 外文期刊>Biotechnology Progress >Quantitative Modeling of Viable Cell Density, Cell Size, Intracellular Conductivity, and Membrane Capacitance in Batch and Fed-Batch CHO Processes Using Dielectric Spectroscopy
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Quantitative Modeling of Viable Cell Density, Cell Size, Intracellular Conductivity, and Membrane Capacitance in Batch and Fed-Batch CHO Processes Using Dielectric Spectroscopy

机译:使用介电光谱法对分批和补料分批CHO过程中活细胞密度,细胞大小,细胞内电导率和膜电容的定量建模

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Dielectric spectroscopy was used to analyze typical batch and fed-batch CHO cell culture processes. Three methods of analysis (linear modeling, Cole-Cole modeling, and partial least squares regression), were used to correlate the spectroscopic data with routine biomass measurements [viable packed cell volume, viable cell concentration (VCC), cell size, and oxygen uptake rate (OUR)]. All three models predicted offline biomass measurements accurately during the growth phase of the cultures. However, during the stationary and decline phases of the cultures, the models decreased in accuracy to varying degrees. Offline cell radius measurements were unsuccessfully used to correct for the deviations from the linear model, indicating that physiological changes affecting permittivity were occurring. The β-dispersion was analyzed using the Cole-Cole distribution parameters Ae (magnitude of the permittivity drop), f_c (critical frequency), and a (Cole-Cole parameter). Furthermore, the dielectric parameters static internal conductivity (σ_it) and membrane capacitance per area (C_m) were calculated for the cultures. Finally, the relationship between permittivity, OUR, and VCC was examined, demonstrating how the definition of viability is critical when analyzing biomass online. The results indicate that the common assumptions of constant size and dielectric properties used in dielectric analysis are not always valid during later phases of cell culture processes. The findings also demonstrate that dielectric spectroscopy, while not a substitute for VCC, is a complementary measurement of viable biomass, providing useful auxiliary information about the physiological state of a culture.
机译:用介电光谱法分析典型的分批和补料分批CHO细胞培养过程。三种分析方法(线性建模,Cole-Cole建模和偏最小二乘回归)用于将光谱数据与常规生物量测量相关联[活的细胞体积,活细胞浓度(VCC),细胞大小和氧气吸收费率(OUR)]。所有三个模型都可以在培养物的生长阶段准确预测离线生物量的测量结果。但是,在培养的平稳和衰退阶段,模型的准确性不同程度地下降。离线细胞半径测量未成功用于校正与线性模型的偏差,表明发生了影响介电常数的生理变化。使用Cole-Cole分布参数Ae(介电常数下降的幅度),f_c(临界频率)和(Cole-Cole参数)分析β色散。此外,计算了培养物的介电参数静态内电导率(σ_it)和每面积膜电容(C_m)。最后,研究了介电常数,OUR和VCC之间的关系,证明了在线分析生物量时活力的定义如何至关重要。结果表明,介电分析中使用的恒定大小和介电特性的通用假设在细胞培养过程的后期阶段并不总是有效的。研究结果还表明,介电谱学虽然不能替代VCC,但却是对活生物量的补充测量,可提供有关培养物生理状态的有用辅助信息。

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