Dorn M, Eschbach F, Hekmat D, Weuster-Botz D
Institute of Biochemical Engineering, Technical University of Munich, Boltzmannstr. 15, 85748 Garching, Germany.
Institute of Biochemical Engineering, Technical University of Munich, Boltzmannstr. 15, 85748 Garching, Germany.
J Chromatogr A. 2017 Sep 22;1516:89-101. doi: 10.1016/j.chroma.2017.08.019. Epub 2017 Aug 8.
It is well known that packing non-uniformity may cause peak asymmetry and limit the performance of packed-bed chromatographic columns. However, understanding of the reasons leading to packing non-uniformity is still limited. Therefore, the effect of different column packing methods, i.e. dynamic axial compression (DAC), flow packing, and combinations of both on the hydrodynamic packing heterogeneity and stability of packings composed of polymer-based compressible porous resins with a mean diameter of 90μm was investigated experimentally as well as in-silico. Deterministic Euler-Lagrange modeling of a small chromatographic column with a diameter of 9.6mm and a bed height of 30mm was applied by coupling Computational Fluid Dynamics (CFD) and the Discrete Element Method (DEM). Interparticle micromechanics as well as the fluid-particle and particle-wall interactions were taken into account. Experiments and simulations revealed substantial non-uniformity of compression force transmission and axial packing density distribution during both dynamic axial compression and flow packing which was related to wall support and interparticle friction. By combining both packing methods sequentially (dynamic axial compression followed by flow packing or vice versa), the compression forces were more homogeneous resulting in improved packing procedures. Repeated alternating application of flow packing and DAC (the so-called hybrid packing method) resulted in the most homogeneous packing density distribution and the highest packing stability which was kept nearly constant during long-term operation with cyclic hydrodynamic load. The hydrodynamic stability of the chromatographic column was evaluated by calculating the integral porosity deviation and packing induced flow velocity dispersion. The hybrid packing method gave the best results for both parameters.
众所周知,填充不均匀可能会导致峰不对称,并限制填充床色谱柱的性能。然而,对导致填充不均匀的原因的理解仍然有限。因此,通过实验和计算机模拟研究了不同的柱填充方法,即动态轴向压缩(DAC)、流动填充以及两者的组合,对由平均直径为90μm的聚合物基可压缩多孔树脂组成的填料的流体动力学填充不均匀性和稳定性的影响。通过耦合计算流体动力学(CFD)和离散元方法(DEM),对直径为9.6mm、床高为30mm的小型色谱柱进行了确定性欧拉-拉格朗日建模。考虑了颗粒间微力学以及流体-颗粒和颗粒-壁相互作用。实验和模拟表明,在动态轴向压缩和流动填充过程中,压缩力传递和轴向填充密度分布存在显著的不均匀性,这与壁支撑和颗粒间摩擦有关。通过依次组合两种填充方法(动态轴向压缩后进行流动填充或反之亦然),压缩力更加均匀,从而改进了填充过程。重复交替应用流动填充和DAC(所谓的混合填充方法)导致填充密度分布最均匀,填充稳定性最高,在长期循环流体动力负载操作期间几乎保持恒定。通过计算积分孔隙率偏差和填充引起的流速分散来评估色谱柱的流体动力学稳定性。混合填充方法在这两个参数上都给出了最佳结果。