Numerical investigation of magnetic nanoparticles trajectories for magnetic drug targeting
In this work, the trajectories and capturing of magnetic nanoparticles coated with drug agent are investigated for drug targeting application. Nanoparticles are injected at the entrance of a microvessel and captured by a permanent magnet located at a specified location where tumor exists. The pro...
| Main Authors: | , |
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| Format: | Conference or Workshop Item |
| Language: | English English |
| Published: |
Institute of Physics Publishing
2017
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| Subjects: | |
| Online Access: | http://irep.iium.edu.my/62288/ http://irep.iium.edu.my/62288/ http://irep.iium.edu.my/62288/ http://irep.iium.edu.my/62288/1/Shazri_2017_IOP_Conf._Ser.%253A_Mater._Sci._Eng._184_012061.pdf http://irep.iium.edu.my/62288/7/62288_Numerical%20Investigation%20of%20Magnetic%20Nanoparticles_scopus.pdf |
| Summary: | In this work, the trajectories and capturing of magnetic nanoparticles coated with
drug agent are investigated for drug targeting application. Nanoparticles are injected at the
entrance of a microvessel and captured by a permanent magnet located at a specified location
where tumor exists. The problem is divided into two steps; blood flow solution and
nanoparticles trajectory solution. The blood flow in microvessel is obtained both analytically
and numerically. Integration of nanoparticles equations of motion to obtain the trajectories is
performed using both Matlab and ANSYS Fluent. Discrete Phase Model (DPM) in ANSYS
Fluent is used for nanoparticles tracking. The dominant magnetization and drag forces acting
on magnetic particles are incorporated to study the trajectories of magnetic particles.
Parametric studies for steady flow with single point and multiple point injections are
conducted. This includes varying particle diameter and magnet location. Critical minimum
diameter for capturing is predicted. Capturing efficiency is reported for all cases. It is found
that particle trajectories are strongly dependent on particle size and location of the magnet. The
simulation can be used to determine the optimum particle size for treating a tumor, given its
size and location. |
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