Journal
COMPUTERS IN BIOLOGY AND MEDICINE
Volume 168, Issue -, Pages -Publisher
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.compbiomed.2023.107712
Keywords
Deterministic lateral displacement device; Red blood cells; Fluid dynamics; Numerical model; Dissipative particle dynamics
Ask authors/readers for more resources
This paper presents a mesoscopic cell-level numerical model based on dissipative particle dynamics to capture the complex interaction between deformable cells and flow within the DLD device. The model's credibility is established through numerical simulations and validation with experimental data. The study also extends the existing theory for predicting the zigzag mode in solid spherical particles to encompass the behavior of red blood cells, introducing a new concept of effective diameter that provides highly accurate predictions.
Deterministic Lateral Displacement (DLD) device has gained widespread recognition and trusted for filtering blood cells. However, there remains a crucial need to explore the complex interplay between deformable cells and flow within the DLD device to improve its design. This paper presents an approach utilizing a mesoscopic cell-level numerical model based on dissipative particle dynamics to effectively capture this complex phenomenon. To establish the model's credibility, a series of numerical simulations were conducted and the numerical results were validated with nominal experimental data from the literature. These include single cell stretching experiment, comparisons of the morphological characteristics of cells in DLD, and comparison the specific row-shift fraction of DLD required to initiate the zigzag mode. Additionally, we investigate the effect of cell rigidity, which serves as an indicator of cell health, on average flow velocity, trajectory, and asphericity. Moreover, we extend the existing theory of predicting zigzag mode for solid spherical particles to encompass the behavior of red blood cells. To achieve this, we introduce a new concept of effective diameter and demonstrate its applicability in providing highly accurate predictions across a wide range of conditions.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available