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在生物工艺超滤和透析过程中,通过在线傅里叶变换红外光谱传感器实时监测质量属性。

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

机构信息

Biologics Process Development, Bristol Myers Squibb Company, Devens, Massachusetts.

Engineering Technologies, Bristol Myers Squibb Company, New Brunswick, New Jersey.

出版信息

Biotechnol Bioeng. 2020 Dec;117(12):3766-3774. doi: 10.1002/bit.27532. Epub 2020 Aug 18.

DOI:10.1002/bit.27532
PMID:32776504
Abstract

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.

摘要

由于监管机构的认可以及对生物治疗管道敏捷开发的支持,能够实时监测产品质量属性和工艺参数的技术越来越受欢迎。振动光谱技术(如傅里叶变换中红外(Mid-IR)和多元数据分析(MVDA)模型)的实用性允许实时同时预测多个关键属性。本研究报告了使用 Mid-IR 和 MVDA 模型传感器实时监测生物制品制造中超滤和渗滤(UF/DF)单元操作中多个属性(赋形剂和蛋白质浓度)的情况(测量频率为每 40 秒一次)。该平台的特点是将光纤 Mid-IR 探头传感器集成到 UF/DF 设备中,在 bulk solution 处进行,并在截留物线处通过流量池进行,然后将自动 Mid-IR 数据管道输送到预加载偏最小二乘回归(PLS)化学计量模型的过程监测软件平台中。该平台还内置了数据可视化基础设施,以便在自动进行 PLS 预测赋形剂和蛋白质浓度时,将结果以图形或数字格式实时显示。Mid-IR 预测的赋形剂和蛋白质浓度与传统分析方法的离线测量结果具有极好的相关性。所有赋形剂和目标蛋白质的 Mid-IR 预测结果与离线参考分析结果之间的绝对百分比差值均≤5%;这表明它作为一种可靠的过程分析技术工具具有很大的前景。

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