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Cross-scale quality assessment of a mechanistic cation exchange chromatography model

机译:机械阳离子交换色谱模型的跨尺度质量评估

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Cation exchange chromatography (CEX) is an essential part of most monoclonal antibody (mAb) purification platforms. Process characterization and root cause investigation of chromatographic unit operations are performed using scale down models (SDM). SDM chromatography columns typically have the identical bed height as the respective manufacturing-scale, but a significantly reduced inner diameter. While SDMs enable process development demanding less material and time, their comparability to manufacturing-scale can be affected by variability in feed composition, mobile phase and resin properties, or dispersion effects depending on the chromatography system at hand. Mechanistic models can help to close gaps between scales and reduce experimental efforts compared to experimental SDM applications. In this study, a multicomponent steric mass-action (SMA) adsorption model was applied to the scale-up of a CEX polishing step. Based on chromatograms and elution pool data ranging from laboratory- to manufacturing-scale, the proposed modeling workflow enabled early identification of differences between scales, for example, system dispersion effects or ionic capacity variability. A multistage model qualification approach was introduced to measure the model quality and to understand the model's limitations across scales. The experimental SDM and the in silico model were qualified against large-scale data using the identical state of the art equivalence testing procedure. The mechanistic chromatography model avoided limitations of the SDM by capturing effects of bed height, loading density, feed composition, and mobile phase properties. The results demonstrate the applicability of mechanistic chromatography models as a possible alternative to conventional SDM approaches.
机译:阳离子交换色谱(CEX)是大多数单克隆抗体(MAB)纯化平台的重要组成部分。使用缩放模型(SDM)进行色谱单元操作的过程表征和根本原因研究。 SDM色谱柱通常具有相同的床高度作为各自的制造规模,但内径显着降低。虽然SDMS使过程开发要求更少的材料和时间,但它们对制造规模的可比性可能受到饲料组合物,流动相和树脂性质的可变性的影响,或者取决于手头的色谱系统的分散效应。与实验性SDM应用相比,机械模型可以帮助关闭秤之间的差距并降低实验努力。在该研究中,将多组分空间致动作用(SMA)吸附模型应用于Cex抛光步骤的缩放。基于从实验室到制造规模的色谱图和洗脱池数据,所提出的建模工作流使得能够早期识别尺度之间的差异,例如系统色散效应或离子容量可变性。引入了多级模型资格方法来衡量模型质量,并了解模型跨尺度的局限性。使用相同状态的最高状态,实验性SDM和Silico模型的符合大规模数据的限定。机械色谱模型通过捕获床高度,装载密度,饲料组合物和流动相性能的效果来避免SDM的限制。结果证明了机械色谱模型的适用性作为传统SDM方法可能的替代方法。

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