Next Article in Journal
Effect of NaCl on the Lifetime of Micro- and Nanobubbles
Next Article in Special Issue
Nanomaterials for Biosensing Applications
Previous Article in Journal
Simultaneous Reduction and Functionalization of Graphene Oxide by 4-Hydrazinobenzenesulfonic Acid for Polymer Nanocomposites
Previous Article in Special Issue
A Graphene Oxide-Based Fluorescent Platform for Probing of Phosphatase Activity
Article Menu

Export Article

Open AccessArticle
Nanomaterials 2016, 6(2), 30; doi:10.3390/nano6020030

Characterization of Nanoparticle Dispersion in Red Blood Cell Suspension by the Lattice Boltzmann-Immersed Boundary Method

1
Department of Mechanical Engineering and Mechanics, Lehigh University, Bethlehem, PA 18015, USA
2
Department of Civil and Environmental Engineering, Lehigh University, Bethlehem, PA 18015, USA
3
School of Mechanics and Engineering, Southwest Jiaotong University, Chengdu 610031, China
4
Bioengineering Program, Lehigh University, Bethlehem, PA 18015, USA
*
Authors to whom correspondence should be addressed.
Academic Editor: Ming Su
Received: 16 November 2015 / Revised: 21 January 2016 / Accepted: 25 January 2016 / Published: 5 February 2016
(This article belongs to the Special Issue Nanomaterials for Biosensing Applications)
View Full-Text   |   Download PDF [1964 KB, uploaded 5 February 2016]   |  

Abstract

Nanodrug-carrier delivery in the blood stream is strongly influenced by nanoparticle (NP) dispersion. This paper presents a numerical study on NP transport and dispersion in red blood cell (RBC) suspensions under shear and channel flow conditions, utilizing an immersed boundary fluid-structure interaction model with a lattice Boltzmann fluid solver, an elastic cell membrane model and a particle motion model driven by both hydrodynamic loading and Brownian dynamics. The model can capture the multiphase features of the blood flow. Simulations were performed to obtain an empirical formula to predict NP dispersion rate for a range of shear rates and cell concentrations. NP dispersion rate predictions from the formula were then compared to observations from previous experimental and numerical studies. The proposed formula is shown to accurately predict the NP dispersion rate. The simulation results also confirm previous findings that the NP dispersion rate is strongly influenced by local disturbances in the flow due to RBC motion and deformation. The proposed formula provides an efficient method for estimating the NP dispersion rate in modeling NP transport in large-scale vascular networks without explicit RBC and NP models. View Full-Text
Keywords: lattice Boltzmann method; immersed boundary method; cell suspension; nanoparticle delivery; dispersion rate lattice Boltzmann method; immersed boundary method; cell suspension; nanoparticle delivery; dispersion rate
Figures

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

Supplementary material

Scifeed alert for new publications

Never miss any articles matching your research from any publisher
  • Get alerts for new papers matching your research
  • Find out the new papers from selected authors
  • Updated daily for 49'000+ journals and 6000+ publishers
  • Define your Scifeed now

SciFeed Share & Cite This Article

MDPI and ACS Style

Tan, J.; Keller, W.; Sohrabi, S.; Yang, J.; Liu, Y. Characterization of Nanoparticle Dispersion in Red Blood Cell Suspension by the Lattice Boltzmann-Immersed Boundary Method. Nanomaterials 2016, 6, 30.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Nanomaterials EISSN 2079-4991 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top