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Real-time monitoring of quality attributes by in-line Fourier transform infrared spectroscopic sensors at ultrafiltration and diafiltration of bioprocess

机译:在线傅里叶傅里叶变换红外光谱传感器实时监测质量属性,在脱水和生物过程中渗滤

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摘要

Technologies capable of monitoring product quality attributes and process parameters in real time are becoming popular due to the endorsement of regulatory agencies and also to support the agile development of biotherapeutic pipelines. The utility of vibrational spectroscopic techniques such as Fourier transform mid-infrared (Mid-IR) and multivariate data analysis (MVDA) models allows the prediction of multiple critical attributes simultaneously in real time. This study reports the use of Mid-IR and MVDA model sensors for monitoring of multiple attributes (excipients and protein concentrations) in real time (measurement frequency of every 40 s) at ultrafiltration and diafiltration (UF/DF) unit operation of biologics manufacturing. The platform features integration of fiber optic Mid-IR probe sensors to UF/DF set up at the bulk solution and through a flow cell at the retentate line followed by automated Mid-IR data piping into a process monitoring software platform with pre-loaded partial least square regression (PLS) chemometric models. Data visualization infrastructure is also built-in to the platform so that upon automated PLS prediction of excipients and protein concentrations, the results were projected in a graphical or numerical format in real time. The Mid-IR predicted concentrations of excipients and protein show excellent correlation with the offline measurements by traditional analytical methods. Absolute percent difference values between Mid-IR predicted results and offline reference assay results were <= 5% across all the excipients and the protein of interest; which shows a great promise as a reliable process analytical technology tool.
机译:由于监管机构的认可,能够实时监测产品质量属性和工艺参数的技术因监管机构的认可以及支持生物治疗管道的敏捷发展而变得流行。振动光谱技术如傅里叶变换中红外线(中IR)和多变量数据分析(MVDA)模型的效用允许实时同时预测多个关键属性。本研究报告使用中IR和MVDA模型传感器的使用,以实时地(每40秒的测量频率)在超滤和渗滤(UF / DF)单位操作中的实时(每40次测量频率)进行监测。该平台具有光纤中间IR探头传感器的集成到散装溶液中设置的UF / DF,并通过保留线的流动单元,然后通过预装部分自动化MID-IR数据管道进入过程监控软件平台最小二乘回归(PLS)化学计量模型。数据可视化基础设施也内置于平台,使得在自动化PLS预测赋形剂和蛋白质浓度时,结果以图形或数值格式实时投射。中红外预测浓度和蛋白质的赋形剂和蛋白质通过传统分析方法与离线测量结果出色的相关性。中红外预测结果和离线参考测定结果之间的绝对百分比值为所有赋形剂和感兴趣的蛋白质均为<= 5%;这表明了作为可靠的过程分析技术工具的许多希望。

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