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Modeling of protein monomer/aggregate purification and separation using hydrophobic interaction chromatography

机译:使用疏水相互作用色谱对蛋白质单体/聚集体纯化和分离进行建模

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摘要

Hydrophobic interaction chromatography (HIC) is commonly used to separate protein monomer and aggregate species in the purification of protein therapeutics. Despite being used frequently, the HIC separation mechanism is quite complex and not well understood. In this paper, we examined the separation of a monomer and aggregate protein mixture using Phenyl Sepharose FF. The mechanisms of protein adsorption, desorption, and diffusion of the two species were evaluated using several experimental approaches to determine which processes controlled the separation. A chromatography model, which used homogeneous diffusion (to describe mass transfer) and a competitive Langmuir binary isotherm (to describe protein adsorption and desorption), was formulated and used to predict the separation of the monomer and aggregate species. The experimental studies showed a fraction of the aggregate species bound irreversibly to the adsorbent, which was a major factor governing the separation of the species. The model predictions showed inclusion of irreversible binding in the adsorption mechanism greatly improved the model predictions over a range of operating conditions. The model successfully predicted the separation performance of the adsorbent with the examined feed.
机译:疏水相互作用色谱法(HIC)通常用于分离蛋白质单体和聚集体,从而纯化蛋白质治疗剂。尽管经常使用,但HIC分离机制非常复杂,尚未得到很好的理解。在本文中,我们研究了使用苯基琼脂糖凝胶FF分离单体和聚集蛋白混合物的过程。使用几种实验方法来评估这两个物种的蛋白质吸附,解吸和扩散的机制,以确定哪个过程控制了分离。建立了色谱模型,该模型使用均相扩散(描述质量转移)和竞争性Langmuir二元等温线(描述蛋白质吸附和解吸),并用于预测单体和聚集体物种的分离。实验研究表明,一部分聚集体不可逆地结合到吸附剂上,这是控制分离的主要因素。该模型预测表明在吸附机理中包括不可逆结合,在一系列操作条件下极大地改善了模型预测。该模型成功地预测了所检查的进料对吸附剂的分离性能。

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