首页> 外文期刊>Biotechnology Journal: Healthcare,Nutrition,Technology >Systematic interpolation method predicts protein chromatographic elution with salt gradients, pH gradients and combined salt/pH gradients
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Systematic interpolation method predicts protein chromatographic elution with salt gradients, pH gradients and combined salt/pH gradients

机译:系统的内插方法通过盐梯度,pH梯度和组合盐/ pH梯度预测蛋白质色谱洗脱

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摘要

A methodology is presented to predict protein elution behavior from an ion exchange column using both individual or combined pH and salt gradients based on high-throughput batch isotherm data. The buffer compositions are first optimized to generate linear pH gradients from pH 5.5 to 7 with defined concentrations of sodium chloride. Next, high-throughput batch isotherm data are collected for a monoclonal antibody on the cation exchange resin POROS XS over a range of protein concentrations, salt concentrations, and solution pH. Finally, a previously developed empirical interpolation (EI) method is extended to describe protein binding as a function of the protein and salt concentration and solution pH without using an explicit isotherm model. The interpolated isotherm data are then used with a lumped kinetic model to predict the protein elution behavior. Experimental results obtained for laboratory scale columns show excellent agreement with the predicted elution curves for both individual or combined pH and salt gradients at protein loads up to 45 mg/mL of column. Numerical studies show that the model predictions are robust as long as the isotherm data cover the range of mobile phase compositions where the protein actually elutes from the column.
机译:提出一种方法来预测来自离子交换柱的蛋白质洗脱行为,使用基于高吞吐量批量等温数据的单独或组合的pH和盐梯度来预测离子交换柱。首先优化缓冲剂组合物以产生从pH 5.5至7的线性pH梯度,具有定义的氯化钠浓度。接下来,在一系列蛋白质浓度,盐浓度和溶液pH上,在阳离子交换树脂孔X上的单克隆抗体收集高通量批次等温数据。最后,以前开发的经验插值(EI)方法延伸以描述蛋白质结合作为蛋白质和盐浓度和溶液pH的函数而不使用显式等温模型。然后将内插等温数据与集体的动力学模型一起使用以预测蛋白质洗脱行为。实验室规模柱获得的实验结果表明,在蛋白质载荷上的单个或合并的pH和盐梯度的预测洗脱曲线均显示出优于45mg / ml的柱的最佳协议。数值研究表明,只要等温数据覆盖了蛋白质实际从柱子拍摄的流动相组合物的范围,模型预测是稳健的。

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