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Prediction of Cell Culture Media Performance Using Fluorescence Spectroscopy

机译:使用荧光光谱法预测细胞培养基的性能

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Cell culture media used in industrial mammalian cell culture are complex aqueous solutions that are inherently difficult to analyze comprehensively. The analysis of media quality and variance is of utmost importance in efficient manufacturing. We are exploring the use of rapid "holistic" analytical methods that can be used for routine screening of cell culture media used in industrial biotechnology. The application of rapid fluorescence spectroscopic techniques to the routine analysis of cell culture media (Chinese hamster ovary cell-based manufacture) was investigated. We have developed robust methods which can be used to identify compositional changes and ultimately predict the efficacy of individual fed batch media in terms of downstream protein product yield with an accuracy of +-0.13 g/L. This is achieved through the implementation of chemometric methods such as multi-way robust principal component analysis (MROBPCA), and n-way partial least-squares-discriminant analysis and regression (NPLS-DA and NPLS). This ability to observe compositional changes and predict product yield before media use has enormous potential and should permit the effective elimination of one of the major process variables leading to more consistent product quality and improved yield. These robust and reliable methods have the potential to become an important part of upstream biopharmaceutical quality control and analysis.
机译:工业哺乳动物细胞培养中使用的细胞培养基是复杂的水溶液,固有地难以进行全面分析。媒体质量和方差的分析对于有效制造至关重要。我们正在探索快速“整体”分析方法的使用,这些方法可用于常规筛选工业生物技术中使用的细胞培养基。研究了快速荧光光谱技术在细胞培养基(中国仓鼠卵巢细胞制造)的常规分析中的应用。我们已经开发出可靠的方法,可用于识别组成变化并最终以下游蛋白产品产量预测单个补料分批培养基的功效,准确度为+ -0.13 g / L。这是通过实施化学计量学方法来实现的,例如多路稳健主成分分析(MROBPCA)和n向偏最小二乘判别分析和回归(NPLS-DA和NPLS)。这种在使用介质之前观察成分变化和预测产品产量的能力具有巨大的潜力,并且应该允许有效消除主要工艺变量之一,从而导致更一致的产品质量和更高的产量。这些强大而可靠的方法有可能成为上游生物制药质量控制和分析的重要组成部分。

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