Particle suspensions are common to biological fluid flows; for example, flow of red- and white-blood cells, and platelets. In medical technology, current and proposed methods for drug delivery use membrane-bounded liquid capsules for transport via the microcirculation. In this paper, we consider a 3D linear elastic particle inserted into a Newtonian fluid and investigate the time-dependent deformation using a numerical simulation. Specifically, a boundary element technique is used to investigate the motion and deformation of initially spherical or spheroidal particles in bounded linear shear flow. The resulting deformed shapes reveal a steady-state profile that exhibits a 'tank-treading' motion for initially spherical particles. Wall effects on particle trajectory are seen to include a modified Jeffrey׳s orbit for spheroidal inclusions with a period that varies inversely with the strength of the shear flow. Alternately, spheroidal inclusions may exhibit either a 'tumbling' or 'trembling' motion depending on the initial particle aspect ratio and the capillary number (i.e., ratio of fluid shear to elastic restoring force). We find for a capillary number of 0.1, a tumbling mode transitions to a trembling mode at an aspect ratio of 0.87 (approx.), while for a capillary number of 0.2, this transition takes place at a lower aspect ratio. These oscillatory modes are consistent with experimental observations involving similarly shaped vesicles and thus serves to validate the use of a simple elastic constitutive model to perform relevant physiological flow calculations.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1016/j.jmbbm.2016.05.031 | DOI Listing |
Alzheimers Dement
December 2024
University of Toronto, Toronto, ON, Canada.
Background: Drug discovery efforts in neurological diseases, such as Alzheimer's disease (AD), have had particularly poor outcomes due to the lack of models that capture the cerebral vasculature. There is an unmet need to develop models that capture the physiological challenge of overcoming the blood-brain barrier (BBB) and impacts of blood flow-induced shear stress. In this work, we use a microfluidic platform to model the cerebral vasculature in familial AD (fAD) using patient-derived brain endothelial-like cells (BECs) and neurons.
View Article and Find Full Text PDFPulmonary artery (PA) flow analysis is crucial for understanding the progression of pulmonary hypertension (PH). We hypothesized that PA flow characteristics vary according to PH etiology. In this study, we used 4D flow cardiovascular magnetic resonance imaging (CMR) to compare PA flow velocity and wall shear stress (WSS) between patients with pulmonary arterial hypertension (PAH) and those with heart failure with preserved ejection fraction and pulmonary hypertension (PH-HFpEF).
View Article and Find Full Text PDFBone
December 2024
College of Biomedical Engineering, Taiyuan University of Technology, Taiyuan, Shanxi, China.
Bone tissue is a biological composite material with a complex hierarchical structure that could continuously adjust its internal structure to adapt to the alterations in the external load environment. The fluid flow within bone is the main route of osteocyte metabolism, and the pore pressure as well as the fluid shear stress generated by it are important mechanical stimuli perceived by osteocytes. Owing to the irregular multiscale structure of bone tissue, the fluid stimulation that lacunar-canalicular network (LCN) in different regions of the tissue underwent remained unclear.
View Article and Find Full Text PDFBiomed Mater
January 2025
University of Kentucky, 177 F Paul Anderson Tower, 512 Administration Drive, Lexington, Kentucky, 40506, UNITED STATES.
Rapid and strategic cell placement is necessary for high throughput tissue fabrication. Current adhesive cell patterning systems rely on fluidic shear flow to remove cells outside of the patterned regions, but limitations in washing complexity and uniformity prevent adhesive patterns from being widely applied. Centrifugation is commonly used to study the adhesive strength of cells to various substrates; however, the approach has not been applied to selective cell adhesion systems to create highly organized cell patterns.
View Article and Find Full Text PDFComput Biol Med
December 2024
University of Colorado Boulder, Paul M. Rady Department of Mechanical Engineering, Boulder, CO, USA; Biofrontiers Institute, University of Colorado, Boulder, CO, 80309, USA. Electronic address:
Breast cancer cells sense shear stresses in response to interstitial fluid flow in bone and induce specific biological responses. Computational fluid dynamics models have been instrumental in estimating these shear stresses to relate the cell mechanoresponse to exact mechanical signals, better informing experiment design. Most computational models greatly simplify the experimental and cell mechanical environments for ease of computation, but these simplifications may overlook complex cell-substrate mechanical interactions that significantly change shear stresses experienced by cells.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!