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Generic Raman-based calibration models enabling real-time monitoring of cell culture bioreactors

机译:基于拉曼的通用校准模型,可实时监控细胞培养生物反应器

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摘要

Raman-based multivariate calibration models have been developed for real-time in situ monitoring of multiple process parameters within cell culture bioreactors. Developed models are generic, in the sense that they are applicable to various products, media, and cell lines based on Chinese Hamster Ovarian (CHO) host cells, and are scalable to large pilot and manufacturing scales. Several batches using different CHO-based cell lines and corresponding proprietary media and process conditions have been used to generate calibration datasets, and models have been validated using independent datasets from separate batch runs. All models have been validated to be generic and capable of predicting process parameters with acceptable accuracy. The developed models allow monitoring multiple key bioprocess metabolic variables, and hence can be utilized as an important enabling tool for Quality by Design approaches which are strongly supported by the U.S. Food and Drug Administration. (c) 2015 American Institute of Chemical Engineers Biotechnol. Prog., 31:1004-1013, 2015
机译:基于拉曼的多元校准模型已经开发出来,用于细胞培养生物反应器内多个过程参数的实时原位监测。从适用于基于中国仓鼠卵巢(CHO)宿主细胞的各种产品,培养基和细胞系的意义上讲,已开发的模型是通用的,并且可以扩展到较大的中试规模和制造规模。使用不同的基于CHO的细胞系以及相应的专有培养基和工艺条件的几个批次已用于生成校准数据集,并且已使用来自独立批次运行的独立数据集对模型进行了验证。所有模型均经过验证,具有通用性,能够以可接受的精度预测过程参数。开发的模型可以监视多个关键的生物过程代谢变量,因此可以用作美国食品药品监督管理局大力支持的“质量设计”方法的重要辅助工具。 (c)2015美国化学工程师学会生物技术学会。 Prog。,31:1004-1013,2015

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