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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规模上限近近红外光谱的在线葡萄糖监测

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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 (1L) through 20L, 100L and 1000L up to 5000L 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 5000L 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 (4.18mM on a 29mM concentration range) for all five runs in the prediction set was based on the combination of 20L and 100L data. This result demonstrated the capabilities and the limitations of an NIR system for glucose monitoring in mammalian cell cultivations.
机译:NIR光谱是一种非破坏性工具,用于原位,在线生物过程监测。其中一个最常见的应用是在培养期间测定代谢物,尤其是葡萄糖。以前的研究通常调查了近红外(NIR)光谱在一个生物反应器规模处的适用性,但未探索扩展的效果。在该研究中,用在线NIR光谱法监测从摇瓶(1L)至20L,100L和1000L,100L和1000L的完全缩放到高达5000L的生物反应器体积水平。使用主成分分析检查运行和尺度之间的差异。无论秤如何,生物反应器运行相对相似,但摇动烧瓶从生物反应器运行时强烈不同。通过基于生物反应器的预处理和它们的组合来预测整个5个5000L级生物反应器延伸的葡萄糖浓度。在预测集中所有五个运行产生的预测误差(4.18mm浓度范围内的模型)基于20L和100L数据的组合。这一结果证明了哺乳动物细胞培养中葡萄糖监测葡萄糖监测的能力和局限性。

著录项

  • 来源
    《Bioprocess and Biosystems Engineering》 |2019年第6期|921-932|共12页
  • 作者单位

    Budapest Univ Technol & Econ Dept Appl Biotechnol & Food Sci Muegyetem Rkp 3 H-1111 Budapest Hungary|Gedeon Richter Plc Biotechnol Dev Dept Gyomroi Ut 19-21 H-1103 Budapest Hungary;

    Budapest Univ Technol & Econ Dept Appl Biotechnol & Food Sci Muegyetem Rkp 3 H-1111 Budapest Hungary;

    Budapest Univ Technol & Econ Dept Appl Biotechnol & Food Sci Muegyetem Rkp 3 H-1111 Budapest Hungary;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    NIR; Glucose; PCA; PLS; Monitoring; Mammalian cells;

    机译:NIR;葡萄糖;PCA;PLS;监测;哺乳动物细胞;

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