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On-line glucose monitoring by near infrared spectroscopy during the scale up steps of mammalian cell cultivation process development

机译:在哺乳动物细胞培养过程开发的放大步骤中通过近红外光谱在线监测葡萄糖

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摘要

NIR spectroscopy is a non-destructive tool for in-situ, on-line bioprocess monitoring. One of its most frequent applications is the determination of metabolites during cultivation, especially glucose. Previous studies have usually investigated the applicability of Near Infrared (NIR) spectroscopy at one bioreactor scale but the effect of scale up was not explored. In this study, the complete scale up from shake flask (1 L) through 20 L, 100 L and 1000 L up to 5000 L bioreactor volume level was monitored with on-line NIR spectroscopy. The differences between runs and scales were examined using principal component analysis. The bioreactor runs were relatively similar regardless of scales but the shake flasks differed strongly from bioreactor runs. The glucose concentration throughout five 5000 L scale bioreactor runs were predicted by partial least squares regression models that were based on pre-processed spectra of bioreactor runs and combinations of them. The model that produced the lowest error of prediction (4.18 mM on a 29 mM concentration range) for all five runs in the prediction set was based on the combination of 20 L and 100 L data. This result demonstrated the capabilities and the limitations of an NIR system for glucose monitoring in mammalian cell cultivations.
机译:NIR光谱仪是用于现场在线生物过程监控的非破坏性工具。它最常见的应用之一是在培养过程中测定代谢产物,尤其是葡萄糖。以前的研究通常在一种生物反应器规模上研究近红外(NIR)光谱的适用性,但并未探讨扩大规模的影响。在这项研究中,使用在线NIR光谱仪监测了摇瓶(1 L)到20 L,100 L和1000 L直至5000 L生物反应器体积水平的完整规模。使用主成分分析检查了运行和规模之间的差异。无论规模如何,生物反应器的运行都相对相似,但摇瓶与生物反应器的运行差异很大。通过部分最小二乘回归模型预测了五个5000 L规模生物反应器运行中的葡萄糖浓度,该模型基于生物反应器运行的预处理光谱及其组合。对于预测集中的所有五次运行,产生最低预测误差的模型(在29 mM浓度范围内为4.18 mM)基于20 L和100 L数据的组合。该结果证明了用于哺乳动物细胞培养中葡萄糖监测的NIR系统的功能和局限性。

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