Characterization of Nanoparticle Dispersion in Red Blood Cell Suspension by the Lattice Boltzmann-Immersed Boundary Method
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 inter...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2016-02-01
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| Series: | Nanomaterials |
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| Online Access: | http://www.mdpi.com/2079-4991/6/2/30 |
| _version_ | 1818288013218676736 |
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| author | Jifu Tan Wesley Keller Salman Sohrabi Jie Yang Yaling Liu |
| author_facet | Jifu Tan Wesley Keller Salman Sohrabi Jie Yang Yaling Liu |
| author_sort | Jifu Tan |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-12-13T01:49:38Z |
| format | Article |
| id | doaj.art-2e143e54c94a4c5f9c0f1837907d33bc |
| institution | Directory Open Access Journal |
| issn | 2079-4991 |
| language | English |
| last_indexed | 2024-12-13T01:49:38Z |
| publishDate | 2016-02-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Nanomaterials |
| spelling | doaj.art-2e143e54c94a4c5f9c0f1837907d33bc2022-12-22T00:03:32ZengMDPI AGNanomaterials2079-49912016-02-01623010.3390/nano6020030nano6020030Characterization of Nanoparticle Dispersion in Red Blood Cell Suspension by the Lattice Boltzmann-Immersed Boundary MethodJifu Tan0Wesley Keller1Salman Sohrabi2Jie Yang3Yaling Liu4Department of Mechanical Engineering and Mechanics, Lehigh University, Bethlehem, PA 18015, USADepartment of Civil and Environmental Engineering, Lehigh University, Bethlehem, PA 18015, USADepartment of Mechanical Engineering and Mechanics, Lehigh University, Bethlehem, PA 18015, USASchool of Mechanics and Engineering, Southwest Jiaotong University, Chengdu 610031, ChinaDepartment of Mechanical Engineering and Mechanics, Lehigh University, Bethlehem, PA 18015, USANanodrug-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.http://www.mdpi.com/2079-4991/6/2/30lattice Boltzmann methodimmersed boundary methodcell suspensionnanoparticle deliverydispersion rate |
| spellingShingle | Jifu Tan Wesley Keller Salman Sohrabi Jie Yang Yaling Liu Characterization of Nanoparticle Dispersion in Red Blood Cell Suspension by the Lattice Boltzmann-Immersed Boundary Method Nanomaterials lattice Boltzmann method immersed boundary method cell suspension nanoparticle delivery dispersion rate |
| title | Characterization of Nanoparticle Dispersion in Red Blood Cell Suspension by the Lattice Boltzmann-Immersed Boundary Method |
| title_full | Characterization of Nanoparticle Dispersion in Red Blood Cell Suspension by the Lattice Boltzmann-Immersed Boundary Method |
| title_fullStr | Characterization of Nanoparticle Dispersion in Red Blood Cell Suspension by the Lattice Boltzmann-Immersed Boundary Method |
| title_full_unstemmed | Characterization of Nanoparticle Dispersion in Red Blood Cell Suspension by the Lattice Boltzmann-Immersed Boundary Method |
| title_short | Characterization of Nanoparticle Dispersion in Red Blood Cell Suspension by the Lattice Boltzmann-Immersed Boundary Method |
| title_sort | characterization of nanoparticle dispersion in red blood cell suspension by the lattice boltzmann immersed boundary method |
| topic | lattice Boltzmann method immersed boundary method cell suspension nanoparticle delivery dispersion rate |
| url | http://www.mdpi.com/2079-4991/6/2/30 |
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