چكيده به لاتين
Controlled release of drugs from nanostructured functional materials, especially nanoparticles (NPs), is attracting increasing attention because of the opportunities in cancer therapy and the treatment of other ailments. The potential of magnetic NPs stems from the intrinsic properties of their magnetic cores combined with their drug loading capability and the biochemical properties that can be bestowed on them by means of a suitable coating.
In this thesis, a computer modeling and simulation method based on finite element is used to model magnetic nanoparticles' trajectories and to study the effective parameters. A 2D modeling is analyzed using COMSOL 5.3 computational software. Taking into account the differences between healthy and tumorous vascular networks, four different geometry-close models are considered for these two networks. Under the effect of six different modes of magnetic field distributions on two vascular networks, the conductivity of nanoparticles of different sizes (1000, 500, and 100 nm) are studied.
Due to the symmetric geometry in a healthy vascular system, the magnetic conductivity of nanoparticles is more successful and gives more favorable results. In the tumor vascular network, the magnetic conductivity of the nanoparticles is far more difficult than the healthy vascular system, which is predictable due to the existing asymmetry. Also, in particles with larger diameters, acceptable results are obtained due to the magnitude of the magnetic force exerted by the magnetic field on the particles. Furthermore, in order to increase the effect of the magnetic field on the nanoparticles' trajectories, the heterogeneous distribution of the magnetic field is desirable due to the increase of magnetic flux gradient.
