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Development of dielectric spectroscopic monitoring methods for the prediction of viable cell density and volume in mammalian cell culture

机译:开发用于预测哺乳动物细胞培养物中活细胞密度和体积的介电谱监测方法

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摘要

The objective of this study is to examine the potential of off-line biomass monitoring methods for the real-time prediction of viable cell density and viable cell volume in Chinese hamster ovary cell cultures.udThis work focuses on the use of Biomass Monitor for the monitoring of biomass. Two dual frequency settings and 2 temperatures were examined. The effects of interferences when the Biomass Monitor probe is present in a bioreactor are also investigated. The feasibility of constructing a prediction model for viable cell density and viable cell volume for in-line use is examined as there is an increased focus on monitoring techniques that adhere to the guidance in the United States Food and Drug Administration’s Process Analytical Technology framework.udIt was found that interferences to the Biomass Monitor include proximity of the biomass probe to vessel walls, pO2 probe and sparger with the bubbles from aeration having a significant effect on the signal.udThe three prediction models were a high cell density suspension serially diluted to a low cell density, real time culture suspension data and combination of the high cell density and real time data.udFrom the prediction models, capacitance versus viable cell density at the dual frequency of 0.2 and 10 MHz at 30 °C showed best predictions with error of all three models between 0.26 - 0.36 × 106 cells/ml.udAll models for viable cell volume were accurate at the lower ranges, with error increasing as the viable cell volume increased. Combination of high cell density suspension and real time data allowed the best cell volume predictions at 37 °C with errors of 1.1 – 1.2 x 109 μm3 ml-1.udOptical density and an automated cell counter were also investigated for the estimation of viable cell density and were found to be not as accurate as the capacitance prediction of viable cell density.
机译:这项研究的目的是检验离线生物量监测方法在实时预测中国仓鼠卵巢细胞培养物中活细胞密度和活细胞体积方面的潜力。 ud这项工作的重点是使用生物量监测仪监测生物量。检查了两个双频设置和两个温度。还研究了生物反应器中存在生物量监控器探针时的干扰影响。由于越来越关注符合美国食品和药物管理局过程分析技术框架指南的监测技术,因此检验了构建在线使用的活细胞密度和活细胞体积预测模型的可行性。 ud发现,对生物量监控器的干扰包括生物质探针靠近血管壁,pO2探针和喷雾器,以及曝气气泡对信号有显着影响。 ud这三种预测模型是将高细胞密度悬浮液依次稀释至低细胞密度,实时培养悬浮液数据以及高细胞密度和实时数据的组合。 ud根据预测模型,在30°C的频率为0.2和10 MHz的双频下,电容与活细胞的密度显示出最佳的预测三种模型的误差在0.26-0.36×106细胞/ ml之间。 ud所有可行细胞体积模型在较低范围内均准确,随着活细胞体积的增加,ror增加。高细胞密度悬浮液和实时数据相结合,可以在37°C时预测最佳细胞体积,误差为1.1 – 1.2 x 109μm3ml-1。 ud还研究了光密度和自动细胞计数器来估算存活细胞密度被发现不如活细胞密度的电容预测准确。

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    ORegan Timothy;

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  • 年度 2012
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