Institute for Biochemistry, University of Applied Sciences Mannheim, 68163 Mannheim, Germany.
Roche Diagnostics GmbH, Pharma Research and Early Development (pRED), Large Molecule Research (LMR), Roche Innovation Center Munich, 82377 Penzberg, Germany.
J Chromatogr A. 2022 Aug 2;1676:463265. doi: 10.1016/j.chroma.2022.463265. Epub 2022 Jun 19.
In ion exchange chromatography, the Steric Mass Action (SMA) formalism is frequently used to simulate sorption processes at low and high column load conditions. To apply the SMA model for describing protein elution over wide ranges of pH, it is necessary to use pH-dependent model parameters. In the past, some publications have already described the pH-dependence of the characteristic protein charge and the equilibrium constant, while the influence of pH on the steric shielding factor has been mostly neglected. In this work, the pH-dependences of all relevant model parameters, including the shielding factor, were investigated, described, and implemented into the SMA model. Therefore, the elution behavior of a bispecific monoclonal antibody on the strong cation exchange resin POROS™ XS was modeled over broad ranges of pH, salt concentrations, and protein concentrations. Linear gradient elution experiments were performed to generate an extensive data set by using increasing column loadings from 0.5 up to 75.0 mg/mL. By using an inverse peak fitting method, shielding factors were estimated at various pH values ranging from 4.5 to 8.9. The results showed that an increasing buffer pH resulted in strongly increasing shielding factors. A semi-empirical correlation describing the shielding factor as a function of pH was established and implemented into the SMA formalism. This approach led to precise prediction of protein elution behavior using a single-component simulation. This was demonstrated by accurate simulation of linear salt, pH and dual gradient elution experiments conducted under high loading conditions.
在离子交换色谱中,经常使用空间位阻作用质量作用(SMA)形式来模拟低和高柱载条件下的吸附过程。为了应用 SMA 模型来描述蛋白质在宽 pH 范围内的洗脱,有必要使用 pH 依赖的模型参数。过去,已经有一些出版物描述了特征蛋白质电荷和平衡常数的 pH 依赖性,而 pH 对空间位阻屏蔽因子的影响大多被忽略。在这项工作中,研究、描述并将所有相关模型参数(包括屏蔽因子)的 pH 依赖性纳入 SMA 模型中。因此,对强阳离子交换树脂 POROS XS 上的双特异性单克隆抗体在宽 pH、盐浓度和蛋白质浓度范围内的洗脱行为进行了建模。通过使用从 0.5 到 75.0mg/ml 的增加柱载量进行线性梯度洗脱实验,生成了一个广泛的数据集。通过使用反峰拟合方法,在 pH 值为 4.5 到 8.9 的范围内估计了各种 pH 值下的屏蔽因子。结果表明,缓冲液 pH 值的增加导致屏蔽因子强烈增加。建立了一个半经验的相关关系,将屏蔽因子描述为 pH 的函数,并将其纳入 SMA 形式。这种方法通过使用单一组件模拟来实现对蛋白质洗脱行为的精确预测。这通过在高载量条件下进行的线性盐、pH 和双梯度洗脱实验的准确模拟得到了证明。