Kotsalos Christos, Raynaud Franck, Lätt Jonas, Dutta Ritabrata, Dubois Frank, Zouaoui Boudjeltia Karim, Chopard Bastien
Computer Science Department, University of Geneva, Geneva, Switzerland.
Department of Statistics, University of Warwick, Warwick, United Kindom.
Front Physiol. 2022 Oct 13;13:985905. doi: 10.3389/fphys.2022.985905. eCollection 2022.
The transport of platelets in blood is commonly assumed to obey an advection-diffusion equation with a diffusion constant given by the so-called Zydney-Colton theory. Here we reconsider this hypothesis based on experimental observations and numerical simulations including a fully resolved suspension of red blood cells and platelets subject to a shear. We observe that the transport of platelets perpendicular to the flow can be characterized by a non-trivial distribution of velocities with and exponential decreasing bulk, followed by a power law tail. We conclude that such distribution of velocities leads to diffusion of platelets about two orders of magnitude higher than predicted by Zydney-Colton theory. We tested this distribution with a minimal stochastic model of platelets deposition to cover space and time scales similar to our experimental results, and confirm that the exponential-powerlaw distribution of velocities results in a coefficient of diffusion significantly larger than predicted by the Zydney-Colton theory.
血液中血小板的运输通常被认为服从平流扩散方程，其扩散常数由所谓的齐德尼 - 科尔顿理论给出。在此，我们基于实验观察和数值模拟重新审视这一假设，数值模拟包括对受剪切作用的红细胞和血小板的完全解析悬浮液。我们观察到，垂直于血流方向的血小板运输可由具有指数递减主体和幂律尾部的非平凡速度分布来表征。我们得出结论，这种速度分布导致血小板扩散比齐德尼 - 科尔顿理论预测的高约两个数量级。我们用一个最小化的血小板沉积随机模型来测试这种分布，以涵盖与我们实验结果相似的空间和时间尺度，并证实速度的指数 - 幂律分布导致的扩散系数显著大于齐德尼 - 科尔顿理论的预测。
