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In‐line monitoring of amino acids in mammalian cell cultures using raman spectroscopy and multivariate chemometrics models

机译:使用拉曼光谱和多元化学计量学模型在线监测哺乳动物细胞培养物中的氨基酸

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摘要

The application of PAT for in‐line monitoring of biopharmaceutical manufacturing operations has a central role in developing more robust and consistent processes. Various spectroscopic techniques have been applied for collecting real‐time data from cell culture processes. Among these, Raman spectroscopy has been shown to have advantages over other spectroscopic techniques, especially in aqueous culture solutions. Measurements of several process parameters such as glucose, lactate, glutamine, glutamate, ammonium, osmolality and VCD using Raman‐based chemometrics models have been reported in literature. The application of Raman spectroscopy, coupled with calibration models for amino acid measurement in cell cultures, has been assessed. The developed models cover four amino acids important for cell growth and production: tyrosine, tryptophan, phenylalanine and methionine. The chemometrics models based on Raman spectroscopy data demonstrate the significant potential for the quantification of tyrosine, tryptophan and phenylalanine. The model for methionine would have to be further refined to improve quantification.
机译:PAT在生物制药生产运营的在线监控中的应用在开发更强大,更一致的过程中起着核心作用。各种光谱技术已被应用于从细胞培养过程中收集实时数据。其中,拉曼光谱已显示出优于其他光谱技术的优势,尤其是在水性培养液中。已有文献报道使用基于拉曼的化学计量学模型对葡萄糖,乳酸,谷氨酰胺,谷氨酸,铵,重量摩尔渗透压浓度和VCD等多个工艺参数进行测量。已经评估了拉曼光谱技术的应用以及用于细胞培养物中氨基酸测量的校准模型。开发的模型涵盖了对细胞生长和产生重要的四种氨基酸:酪氨酸,色氨酸,苯丙氨酸和蛋氨酸。基于拉曼光谱数据的化学计量学模型证明了酪氨酸,色氨酸和苯丙氨酸定量的巨大潜力。蛋氨酸模型必须进一步完善以提高定量。

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