Optimization of Preparative Ion Exchange Chromatography

本文将评价和优化非线性梯度和位移色谱法分离蛋白质的性能。目前，色谱法对蛋白质纯化的优化主要是经验性的。近年来建立了非线性离子交换色谱的多组分平衡模型。该模型基于立体质量传递（SMA）方法，具有较好的预测能力。梯度和位移色谱的系统评估将使用SMA方法进行。将定义模型蛋白分离问题的代表性类别。实验将在蛋白质、固定相材料和pH条件的适当组合下进行。将对新型驱替剂进行试验，包括一些不寻常的低分子量化合物，这些化合物既便宜又无毒。比较梯度色谱和位移色谱的分辨率和优点。这些技术的生产力将分析和优化使用数值技术。高效离子交换色谱技术的发展对生物处理技术具有重要的影响。

CTS-9416921 Cramer RPI The performance of non-linear gradient and displacement chromatography techniques for the separation of proteins will be evaluated and optimized. At present, the optimization of protein purification by chromatography is mainly empirical. A multicomponent equilibrium model has been recently developed for non-linear ion-exchange chromatography. Based on a steric mass transport (SMA) approach, this model has good predictive capabilities. A systematic evaluation of gradient and displacement chromatography will be performed using the SMA approach. Representative classes of model protein separation problems will be defined. Experiments will be conducted with appropriate combinations of proteins, stationary phase materials and pH conditions. Tests will be conducted with novel displacing agents, including some unusual low MW compounds, which are inexpensive and non-toxic. The resolution and merits of gradient and displacement chromatography will be compared. The productivity of these techniques will be analyzed and optimized using numerical techniques. The development of efficient ion-exchange chromatographic techniques for process scale purification has the potential of a significant impact on bioprocessing technology.