Multiscale Modeling of Vascular Dynamics of Micro- and Nano-particles: Application to drug delivery system(IOP Concise Physics)

Table of Contents:

1 Background

1.1 Blood flow in human vasculature

1.2 Vascular targeting and margination of particles in blood flow

1.3 Adhesion of particles on endothelium wall

I Numerical Method

2 Numerical methods: fluid structure interaction and adhesive dynamics

2.1 Fluid-structure interaction

2.1.1 Plasma dynamics: Lattice Boltzmann method

2.1.2 Coarse-grained model for blood cells and particles

2.1.3 Immersed boundary method

2.2 Adhesive dynamics

2.3 Validation of Numerical Method

2.3.1 Validation of RBC Model

2.3.2 Validation of RBC suspension

II Applications

3 Anomalous vascular dynamics of nanoworms within blood flow

3.1 Motivation

3.2 Experimental and computational results

3.2.1 Experiment

3.2.2 Computational results

4 Adhesion behavior of single cell on endothelial wall

4.1 Introduction

4.2 Computational model

4.3 Results and Discussion

4.3.1 Four Types of Motion and Demargination

4.3.2 Effect of Particle Stiffness on Formation of Bonds and Adhesive Force

4.3.3 Phase Diagram and Scaling Relationship

5 Localization of soft particle: margination and adhesion

5.1 Introduction

5.2 Physical Problem and Computational Method

5.2.1 Physical problem

5.3 Results and Discussion

5.3.1 Margination of elastic MPs without adhesion

5.3.2 Adhesion effect on localization of elastic MPs at wall

5.3.3 Adhesion behavior of elastic MPs

5.3.4 Mechanism of localization of elastic MPs under adhesion

6 Shape dependent transport of micro-particles in blood flow: from margination to adhesion

6.1 Introduction

6.2 Computational model setup

6.3 Results and Discussion

6.3.1 Margination of MPs without adhesion

6.3.2 Margination of MPs with adhesion

6.3.3 Mechanism of adhesion effect

A Coarse-grained potential for RBC

Huilin Ye is a PhD candidate in Mechanical Engineering at University of Connecticut. His research interest is mainly on developing high-fidelity computational methods in biosystem, especially for the blood flow. The novel numerical scheme has been successfully applied in the targeted drug delivery system for capturing the dynamic motion of micro- and nano-particles in blood flow. Ye’s works have been recognized by fellowships and awards including Generic Electric Fellowship for Innovation and Best paper award of FDTC Student paper competition in EMI(2018) from ASCE.

Zhiqiang Shen is a PhD candidate in Mechanical Engineering at University of Connecticut. His current research interests focus on multi-scale modelling of nanoparticle mediated drug delivery and polymeric materials. Shen’s works have been recognized by fellowships and awards including Generic Electric Fellowship for Innovation (2017) and ASME SPC Award (2019).

Dr. Ying Li joined the University of Connecticut in 2015 as an Assistant Professor in the Department of Mechanical Engineering. He received his Ph.D. in 2015 from Northwestern University, focusing on the multiscale modeling of soft matter and related biomedical applications. Dr. Li’s achievements in research have been widely recognized by fellowships and awards including Best Paper award from ASME Global Congress on NanoEngineering for

Medicine and Biology, International Institute for Nanotechnology Outstanding Researcher Award, Chinese Government Award for Outstanding Students Abroad and Ryan Fellowship.