Department of Chemical Engineering, University of Virginia, Charlottesville, VA 22904-4741, USA.
J Chromatogr A. 2009 Nov 20;1216(47):8348-54. doi: 10.1016/j.chroma.2009.09.033. Epub 2009 Sep 18.
Pressure-flow curves are obtained for a new protein A adsorbent matrix based on macroporous hydrophilic polymer beads with average diameter of 57 microm and a narrow particle size distribution. Experimental data are obtained in a 1cm diameter laboratory column and in preparative scale columns with diameters of 20, 30, and 45 cm. The results are consistent with a model that assumes a linear relationship between bed compression and relative flow velocity. Surprisingly, the packing compressibility is essentially independent of column diameter for the preparative columns. As a result, after accounting for the variation in extraparticle porosity caused by compression, the column pressure drop is accurately predictable using the Carman-Kozeny equation. A model is also developed to predict productivity for IgG capture as a function of operating conditions based on dynamic binding capacity data presented in Part I of this work. For typical conditions, the model predicts maximum productivity at low residence times, between 1 and 1.5 min, when the dynamic binding capacity is at about 70-80% of the maximum. Combining the two models for column pressure and for dynamic binding capacity allows the design of preparative scale columns that maximize productivity while meeting specified pressure constraints.
为一种新型的基于大孔亲水性聚合物珠体的蛋白 A 吸附剂基质获得了压力-流速曲线，这些珠体的平均直径为 57 微米，且粒径分布较窄。在 1cm 直径的实验室柱和直径为 20、30 和 45cm 的制备柱中获得了实验数据。结果与假设床层压缩与相对流速之间存在线性关系的模型一致。令人惊讶的是，对于制备柱，填充压缩性基本上与柱直径无关。因此，在考虑压缩引起的颗粒间孔隙率的变化后，使用 Carman-Kozeny 方程可以准确预测柱压降。还根据本工作第一部分中呈现的动态结合能力数据，建立了一个预测 IgG 捕获操作条件下生产力的模型。对于典型条件，当动态结合能力约为最大结合能力的 70-80%时，模型预测在低保留时间（1 至 1.5 分钟）下具有最高生产力。将柱压力和动态结合能力的两个模型结合起来，可以设计出在满足指定压力限制的同时最大化生产力的制备柱。
