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Comparison of spectroscopy technologies for improved monitoring of cell culture processes in miniature bioreactors

机译:用于改进微型生物反应器中细胞培养过程监测的光谱技术的比较

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摘要

Cell culture process development requires the screening of large numbers of cell lines and process conditions. The development of miniature bioreactor systems has increased the throughput of such studies; however, there are limitations with their use. One important constraint is the limited number of offline samples that can be taken compared to those taken for monitoring cultures in large-scale bioreactors. The small volume of miniature bioreactor cultures (15 mL) is incompatible with the large sample volume (600 µL) required for bioanalysers routinely used. Spectroscopy technologies may be used to resolve this limitation. The purpose of this study was to compare the use of NIR, Raman, and 2D-fluorescence to measure multiple analytes simultaneously in volumes suitable for daily monitoring of a miniature bioreactor system. A novel design-of-experiment approach is described that utilizes previously analyzed cell culture supernatant to assess metabolite concentrations under various conditions while providing optimal coverage of the desired design space. Multivariate data analysis techniques were used to develop predictive models. Model performance was compared to determine which technology is more suitable for this application. 2D-fluorescence could more accurately measure ammonium concentration (RMSECV 0.031 g L−1) than Raman and NIR. Raman spectroscopy, however, was more robust at measuring lactate and glucose concentrations (RMSECV 1.11 and 0.92 g L−1, respectively) than the other two techniques. The findings suggest that Raman spectroscopy is more suited for this application than NIR and 2D-fluorescence. The implementation of Raman spectroscopy increases at-line measuring capabilities, enabling daily monitoring of key cell culture components within miniature bioreactor cultures.
机译:细胞培养过程的发展需要筛选大量细胞系和过程条件。微型生物反应器系统的发展提高了此类研究的通量;但是,它们的使用存在局限性。一个重要的限制条件是,与用于监控大型生物反应器中培养物的离线样品相比,可以采集的离线样品数量有限。微型生物反应器培养物的小体积(15 mL)与常规使用的生物分析仪所需的大样品量(600 µL)不兼容。光谱技术可用于解决该限制。这项研究的目的是比较近红外光谱,拉曼光谱和2D荧光的使用量,同时测量适合每日监测微型生物反应器系统的多种分析物。描述了一种新颖的实验设计方法,该方法利用先前分析的细胞培养上清液评估各种条件下的代谢物浓度,同时提供所需设计空间的最佳覆盖范围。多变量数据分析技术用于开发预测模型。比较了模型性能,以确定哪种技术更适合此应用程序。二维荧光比拉曼光谱和近红外光谱能更准确地测量铵浓度(RMSECV 0.031 g L-1)。然而,拉曼光谱法在测量乳酸盐和葡萄糖浓度(分别为RMSECV 1.11和0.92 g L-1)方面比其他两种技术更可靠。研究结果表明,拉曼光谱比NIR和2D荧光更适合此应用。拉曼光谱法的实施提高了在线测量能力,从而能够每日监控微型生物反应器培养物中关键细胞培养成分。

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