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Evaluation of the effects of injection velocity and different gel concentrations on nanoparticles in hyperthermia therapy.

Javidi M, Heydari M, Karimi A, Haghpanahi M, Navidbakhsh M, Razmkon A - J Biomed Phys Eng (2014)

Bottom Line: The resultant heating configuration by magnetic fluid in the tumor is closely related to the dispersion of particles, frequency and intensity of magnetic field, and biological tissue properties.In the second part, by using experimental results of nanoparticles distribution inside Agarose gel according to various gel concentration, 0.5%, 1%, 2%, and 4%, as well as the injection velocity, 4 µL/min, 10 µL/min, 20 µL/min, and 40 µL/min, for 0.3 cc magnetite fluid, power dissipation inside gel has been calculated and used for temperature prediction inside of the gel.The results may have implications for treatment of the tumor and any kind of cancer diseases.

View Article: PubMed Central - PubMed

Affiliation: School of Mechanical Engineering, Iran University of Science and Technology, Tehran 16846, Iran ; Tissue Engineering and Biological Systems Research Laboratory, School of Mechanical Engineering, Iran University of Science and Technology, Tehran 16846, Iran.

ABSTRACT

Background and objective: In magnetic fluid hyperthermia therapy, controlling temperature elevation and optimizing heat generation is an immense challenge in practice. The resultant heating configuration by magnetic fluid in the tumor is closely related to the dispersion of particles, frequency and intensity of magnetic field, and biological tissue properties.

Methods: In this study, to solve heat transfer equation, we used COMSOL Multiphysics and to verify the model, an experimental setup has been used.  To show the accuracy of the model, simulations have been compared with experimental results. In the second part, by using experimental results of nanoparticles distribution inside Agarose gel according to various gel concentration, 0.5%, 1%, 2%, and 4%, as well as the injection velocity, 4 µL/min, 10 µL/min, 20 µL/min, and 40 µL/min, for 0.3 cc magnetite fluid, power dissipation inside gel has been calculated and used for temperature prediction inside of the gel.

Results: The Outcomes demonstrated that by increasing the flow rate injection at determined concentrations, mean temperature drops. In addition, 2% concentration has a higher mean temperature than semi spherical nanoparticles distribution.

Conclusion: The results may have implications for treatment of the tumor and any kind of cancer diseases.

No MeSH data available.


Related in: MedlinePlus

Geometry of considered injection site.
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Figure 4: Geometry of considered injection site.

Mentions: An axisymmetric assumption for geometry and particles distribution has been made (in figure 3h=0.05 m, b=0.0125 m, r= 0.0212 m). Figure 4 demonstrates sample tissue and injection site of nanoparticles into the gel. Distributions of the nanoparticles are illustrated in figure 5 for various combination of the gel concentrations and flow rates (from Salloum et al [7]). Regarding of distribution of particles, magnetic nanoparticles power dissipation was calculated by equation 2. For this case, the Magnetite nanoparticle properties are as follows: d=10 nm, ρ=5240 kgm-3, cp = 670 J(kgK)-1, ligand layer δ=1 nm, and 0.3 cc ferrofluid solution. For heat generation calculation inside gel we considered a magnetic field with these characteristics: amplitude of alternating magnetic field, H0=3 kAm-1, frequency of alternating magnetic field, f=325 kHz, dynamic viscosity of medium, η=0.001 Pas, average relaxation time, τ0=10-9s, domain magnetization Md=4.46×105kAm-1, anisotropy constant, K=9×103kJm-3.


Evaluation of the effects of injection velocity and different gel concentrations on nanoparticles in hyperthermia therapy.

Javidi M, Heydari M, Karimi A, Haghpanahi M, Navidbakhsh M, Razmkon A - J Biomed Phys Eng (2014)

Geometry of considered injection site.
© Copyright Policy
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC4289522&req=5

Figure 4: Geometry of considered injection site.
Mentions: An axisymmetric assumption for geometry and particles distribution has been made (in figure 3h=0.05 m, b=0.0125 m, r= 0.0212 m). Figure 4 demonstrates sample tissue and injection site of nanoparticles into the gel. Distributions of the nanoparticles are illustrated in figure 5 for various combination of the gel concentrations and flow rates (from Salloum et al [7]). Regarding of distribution of particles, magnetic nanoparticles power dissipation was calculated by equation 2. For this case, the Magnetite nanoparticle properties are as follows: d=10 nm, ρ=5240 kgm-3, cp = 670 J(kgK)-1, ligand layer δ=1 nm, and 0.3 cc ferrofluid solution. For heat generation calculation inside gel we considered a magnetic field with these characteristics: amplitude of alternating magnetic field, H0=3 kAm-1, frequency of alternating magnetic field, f=325 kHz, dynamic viscosity of medium, η=0.001 Pas, average relaxation time, τ0=10-9s, domain magnetization Md=4.46×105kAm-1, anisotropy constant, K=9×103kJm-3.

Bottom Line: The resultant heating configuration by magnetic fluid in the tumor is closely related to the dispersion of particles, frequency and intensity of magnetic field, and biological tissue properties.In the second part, by using experimental results of nanoparticles distribution inside Agarose gel according to various gel concentration, 0.5%, 1%, 2%, and 4%, as well as the injection velocity, 4 µL/min, 10 µL/min, 20 µL/min, and 40 µL/min, for 0.3 cc magnetite fluid, power dissipation inside gel has been calculated and used for temperature prediction inside of the gel.The results may have implications for treatment of the tumor and any kind of cancer diseases.

View Article: PubMed Central - PubMed

Affiliation: School of Mechanical Engineering, Iran University of Science and Technology, Tehran 16846, Iran ; Tissue Engineering and Biological Systems Research Laboratory, School of Mechanical Engineering, Iran University of Science and Technology, Tehran 16846, Iran.

ABSTRACT

Background and objective: In magnetic fluid hyperthermia therapy, controlling temperature elevation and optimizing heat generation is an immense challenge in practice. The resultant heating configuration by magnetic fluid in the tumor is closely related to the dispersion of particles, frequency and intensity of magnetic field, and biological tissue properties.

Methods: In this study, to solve heat transfer equation, we used COMSOL Multiphysics and to verify the model, an experimental setup has been used.  To show the accuracy of the model, simulations have been compared with experimental results. In the second part, by using experimental results of nanoparticles distribution inside Agarose gel according to various gel concentration, 0.5%, 1%, 2%, and 4%, as well as the injection velocity, 4 µL/min, 10 µL/min, 20 µL/min, and 40 µL/min, for 0.3 cc magnetite fluid, power dissipation inside gel has been calculated and used for temperature prediction inside of the gel.

Results: The Outcomes demonstrated that by increasing the flow rate injection at determined concentrations, mean temperature drops. In addition, 2% concentration has a higher mean temperature than semi spherical nanoparticles distribution.

Conclusion: The results may have implications for treatment of the tumor and any kind of cancer diseases.

No MeSH data available.


Related in: MedlinePlus