Westerbeek Eiko Y, Gelin Pierre, Frankel Itzchak, Olthuis Wouter, Eijkel Jan C T, De Malsche Wim
µFlow group, Department of Chemical Engineering, Vrije Universiteit Brussel, Brussels, Belgium; University of Twente. BIOS Lab on a Chip Group, MESA+ Institute for Nanotechnology & Max Planck Centre for Complex Fluid Dynamics, Enschede 7500 AE, the Netherlands.
µFlow group, Department of Chemical Engineering, Vrije Universiteit Brussel, Brussels, Belgium.
J Chromatogr A. 2022 May 10;1670:462970. doi: 10.1016/j.chroma.2022.462970. Epub 2022 Mar 12.
Acoustically induced secondary flows are applied to enhance lateral mass transfer beyond the relatively slow diffusion. This has the goal to reduce convective axial dispersion and the resulting band broadening which, in turn, limits the performance of column chromatography. Traditional approaches based on Taylor-Aris model are limited to one-dimensional rectilinear (unidirectional) tube- or channel-flows. We therefore apply the generalized dispersion theory (GDT) allowing for prediction of the dependence of potentially improved performance on the characteristics of the induced secondary flow, channel geometry and solute properties as well as providing qualitative physical insight into the role of lateral flows. Results corroborate agreement with our experimental observations (residual standard deviation, S = 3.88) and demonstrate the advantage of applying GDT relative to 3D time-dependent simulations.
声致二次流被用于增强横向传质,以超越相对缓慢的扩散过程。这样做的目的是减少对流轴向扩散以及由此产生的谱带展宽,而谱带展宽反过来又限制了柱色谱的性能。基于泰勒-阿里斯模型的传统方法仅限于一维直线(单向)管流或通道流。因此,我们应用广义扩散理论(GDT),该理论能够预测潜在性能提升与诱导二次流特性、通道几何形状和溶质性质之间的依赖关系,同时还能对横向流的作用提供定性的物理见解。结果证实了与我们的实验观察结果相符(残余标准差,S = 3.88),并证明了相对于三维时间相关模拟应用GDT的优势。