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近红外(NIR)光谱法在用于生产重组治疗蛋白的细胞培养基原材料筛选中的应用。

Application of near-infrared (NIR) spectroscopy for screening of raw materials used in the cell culture medium for the production of a recombinant therapeutic protein.

机构信息

Process Development, Amgen Inc, Thousand Oaks, CA 91320, USA.

出版信息

Biotechnol Prog. 2010 Mar-Apr;26(2):527-31. doi: 10.1002/btpr.329.

Abstract

Control of raw materials based on an understanding of their impact on product attributes has been identified as a key aspect of developing a control strategy in the Quality by Design (QbD) paradigm. This article presents a case study involving use of a combined approach of Near-infrared (NIR) spectroscopy and Multivariate Data Analysis (MVDA) for screening of lots of basal medium powders based on their impact on process performance and product attributes. These lots had identical composition as per the supplier and were manufactured at different scales using an identical process. The NIR/MVDA analysis, combined with further investigation at the supplier site, concluded that grouping of medium components during the milling and blending process varied with the scale of production and media type. As a result, uniformity of blending, impurity levels, chemical compatibility, and/or heat sensitivity during the milling process for batches of large-scale media powder were deemed to be the source of variation as detected by NIR spectra. This variability in the raw materials was enough to cause unacceptably large variability in the performance of the cell culture step and impact the attributes of the resulting product. A combined NIR/MVDA approach made it possible to finger print the raw materials and distinguish between good and poor performing media lots.

摘要

基于对原材料对产品属性影响的理解来控制原材料已被确定为质量源于设计(QbD)范式中开发控制策略的关键方面。本文介绍了一个案例研究,涉及使用近红外(NIR)光谱和多元数据分析(MVDA)的组合方法,根据其对工艺性能和产品属性的影响来筛选大量基础培养基粉末。这些批次的成分与供应商提供的完全相同,并且使用相同的工艺在不同的规模上进行制造。NIR/MVDA 分析,结合在供应商现场的进一步调查,得出的结论是,在研磨和混合过程中培养基成分的分组随生产规模和培养基类型的不同而变化。因此,通过 NIR 光谱检测到,大规模培养基粉末批次在研磨过程中的混合均匀性、杂质水平、化学相容性和/或热敏性被认为是导致变化的原因。原材料的这种可变性足以导致细胞培养步骤的性能出现不可接受的大变化,并影响最终产品的属性。NIR/MVDA 的组合方法使得能够对原材料进行指纹识别,并区分性能良好和性能较差的培养基批次。

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