Thesis
Compound droplet dynamics of a tumor cell squeezing through conical microfilters
Washington State University
Master of Science (MS), Washington State University
12/2019
DOI:
https://doi.org/10.7273/000000073
Handle:
https://hdl.handle.net/2376/119080
Abstract
Circulating tumor cells (CTCs) are regarded as important biomarkers to detect and treat cancer in
an early stage. Although decades of efforts have made progress in cancer diagnosis using the
deformability-based CTC microfilter, developing a CTC microfilter with high-throughput
remains a challenging task due to the lack of the essential understanding of microscopic
multiphase flow. For the design and optimization of the CTC microfilter, in-depth study of the
dynamics of CTCs squeezing through the confined constriction is of the significance in the CTC
microfilter. In this paper, we employed numerical simulation. The octree-based Adaptive-MeshRefinement (AMR) algorithm is used to study a compound Newtonian droplet model of CTC
moving through a microfilter with non-uniform cross-sections. The immiscible interface is
tracked by the Volume-Of-Fluid (VOF) method with the surface tension accounted for using the
Continuum Surface Force (CSF) method. The pressure signatures, shear stress and the cell
velocity passing through the conical microfilter are investigated in great detail in order to better
understand the microscopic multiphase flow. Then, the crucial design parameters, including the
pore angles of the microfilter and the operating flow rates, are analyzed. Furthermore, the shear stress and critical pressure under different flow rates are investigated as it plays a significant role
in the squeezing process. Our study not only provides insights into the dynamics of a compound
droplet model squeezing through a conical-shaped microfilter but also can offer constructive
guidance for the design and optimization of the deformability-based CTC microfluidic
microfilter with high-throughput and less cellular damage.
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Details
- Title
- Compound droplet dynamics of a tumor cell squeezing through conical microfilters
- Creators
- Pengliang Chang
- Contributors
- XIAOLIN CHEN (Degree Supervisor) - Washington State University, Engineering and Computer Science (VANC), School ofHUA TAN (Committee Member) - Washington State University, Engineering and Computer Science (VANC), School ofJONG HOON KIM (Committee Member) - Washington State University, Engineering and Computer Science (VANC), School of
- Awarding Institution
- Washington State University
- Academic Unit
- Engineering and Computer Science (VANC), School of
- Theses and Dissertations
- Master of Science (MS), Washington State University
- Publisher
- Washington State University
- Format
- pdf
- Number of pages
- 48
- Identifiers
- 99900590963201842
- Language
- English
- Resource Type
- Thesis