Karlsruhe Institute of Technology (KIT), Institute of Process Engineering in Life Sciences Section IV: Biomolecular Separation Engineering, 76131, Karlsruhe, Germany.
Bioprocess Biosyst Eng. 2019 Apr;42(4):513-520. doi: 10.1007/s00449-018-2054-5. Epub 2018 Dec 7.
For the purification of biopharmaceutical proteins, liquid chromatography is still the gold standard. Especially with increasing product titers, drawbacks like slow volumetric throughput and high resin costs lead to an intensifying need for alternative technologies. Selective preparative protein precipitation is one promising alternative technique. Although the capability has been proven, there has been no precipitation process realized for large-scale monoclonal antibody (mAb) production yet. One reason might be that the mechanism behind protein phase behavior is not completely understood and the precipitation process development is still empirical. Mechanistic modeling can be a means for faster, material-saving process development and a better process understanding at the same time. In preparative chromatography, mechanistic modeling was successfully shown for a variety of applications. Lately, a new isotherm for hydrophobic interaction chromatography (HIC) under consideration of water molecules as participants was proposed, enabling an accurate description of HIC. In this work, based on similarities between protein precipitation and HIC, a new precipitation model was derived. In the proposed model, the formation of protein-protein interfaces is thought to be driven by hydrophobic effects, involving a reorganization of the well-ordered water structure on the hydrophobic surfaces of the protein-protein complex. To demonstrate model capability, high-throughput precipitation experiments with pure or prior to the experiments purified proteins lysozyme, myoglobin, bovine serum albumin, and one mAb were conducted at various pH values. Polyethylene glycol (PEG) 6000 was used as precipitant. The precipitant concentration as well as the initial protein concentration was varied systematically. For all investigated proteins, the initial protein concentrations were varied between 1.5 mg/mL and 12 mg/mL. The calibrated models were successfully validated with experimental data. This mechanistic description of protein precipitation process offers mathematical explanation of the precipitation behavior of proteins at PEG concentration, protein concentration, protein size, and pH.
对于生物制药蛋白的纯化,液相色谱仍然是黄金标准。特别是随着产品滴度的增加,像体积通量慢和树脂成本高这样的缺点导致对替代技术的需求日益增加。选择性制备性蛋白质沉淀是一种很有前途的替代技术。虽然已经证明了这种能力,但尚未实现用于大规模单克隆抗体(mAb)生产的沉淀过程。原因之一可能是蛋白质相行为背后的机制尚未完全理解,沉淀过程的开发仍然是经验性的。同时,机理建模可以作为更快、节省材料的过程开发手段,以及更好地理解过程。在制备性色谱中,机理建模已成功应用于多种应用。最近,提出了一种考虑水分子作为参与者的疏水相互作用色谱(HIC)的新等温线,从而能够准确描述 HIC。在这项工作中,基于蛋白质沉淀和 HIC 之间的相似性,推导出了一个新的沉淀模型。在提出的模型中,认为蛋白质-蛋白质界面的形成是由疏水作用驱动的,涉及到蛋白质-蛋白质复合物的疏水表面上有序水分子结构的重新组织。为了证明模型的能力,在各种 pH 值下,使用聚乙二醇(PEG)6000 作为沉淀剂,进行了纯蛋白或预先纯化的蛋白溶菌酶、肌红蛋白、牛血清白蛋白和一种 mAb 的高通量沉淀实验。PEG 6000 的浓度以及初始蛋白质浓度是系统变化的。对于所有研究的蛋白质,初始蛋白质浓度在 1.5mg/mL 到 12mg/mL 之间变化。所校准的模型成功地用实验数据进行了验证。该蛋白质沉淀过程的机理描述提供了蛋白质在 PEG 浓度、蛋白质浓度、蛋白质大小和 pH 值下沉淀行为的数学解释。