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使用质子转移反应质谱法对细胞培养废气进行高级在线监测。

Advanced online monitoring of cell culture off-gas using proton transfer reaction mass spectrometry.

作者信息

Schmidberger Timo, Gutmann Rene, Bayer Karl, Kronthaler Jennifer, Huber Robert

机构信息

Sandoz GmbH, 6336, Langkampfen, Austria; Dept. of Biotechnology, University of Natural Resources and Life Sciences, 1180, Vienna, Austria.

出版信息

Biotechnol Prog. 2014 Mar-Apr;30(2):496-504. doi: 10.1002/btpr.1853. Epub 2014 Jan 16.

DOI:10.1002/btpr.1853
PMID:24376199
Abstract

Mass spectrometry has been frequently applied to monitor the O₂ and CO₂ content in the off-gas of animal cell culture fermentations. In contrast to classical mass spectrometry the proton transfer reaction mass spectrometry (PTR-MS) provides additional information of volatile organic compounds by application of a soft ionization technology. Hence, the spectra show less fragments and can more accurately assigned to particular compounds. In order to discriminate between compounds of non-metabolic and metabolic origin cell free experiments and fed-batch cultivations with a recombinant CHO cell line were conducted. As a result, in total eight volatiles showing high relevance to individual cultivation or cultivation conditions could be identified. Among the detected compounds methanethiol, with a mass-to-charge ratio of 49, qualifies as a key candidate in process monitoring due to its strong connectivity to lactate formation. Moreover, the versatile and complex data sets acquired by PTR MS provide a valuable resource for statistical modeling to predict non direct measurable parameters. Hence, partial least square regression was applied to the complete spectra of volatiles measured and important cell culture parameters such as viable cell density estimated (R²  = 0.86). As a whole, the results of this study clearly show that PTR-MS provides a powerful tool to improve bioprocess-monitoring for mammalian cell culture. Thus, specific volatiles emitted by cells and measured online by the PTR-MS and complex variables gained through statistical modeling will contribute to a deeper process understanding in the future and open promising perspectives to bioprocess control.

摘要

质谱分析法已被频繁应用于监测动物细胞培养发酵尾气中的氧气和二氧化碳含量。与传统质谱分析法不同,质子转移反应质谱法(PTR-MS)通过应用软电离技术提供了挥发性有机化合物的额外信息。因此,光谱显示的碎片较少,并且可以更准确地归属于特定化合物。为了区分非代谢源和代谢源的化合物,进行了无细胞实验以及使用重组CHO细胞系的补料分批培养。结果,总共鉴定出八种与个体培养或培养条件高度相关的挥发物。在检测到的化合物中,质荷比为49的甲硫醇因其与乳酸形成的紧密联系,成为过程监测中的关键候选物。此外,通过PTR-MS获得的通用且复杂的数据集为统计建模提供了宝贵资源,以预测不可直接测量的参数。因此,将偏最小二乘回归应用于所测量的挥发物的完整光谱以及重要的细胞培养参数,如估计的活细胞密度(R² = 0.86)。总体而言,本研究结果清楚地表明,PTR-MS为改善哺乳动物细胞培养的生物过程监测提供了强大工具。因此,细胞释放并通过PTR-MS在线测量的特定挥发物以及通过统计建模获得的复杂变量将有助于未来更深入地理解过程,并为生物过程控制开辟有前景的前景。

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