LIU Han-dan, XU Wei, LIANG Qing-hua, WANG Shi-gang, KE Zun-ji. Hydrodynamic Modeling of Ferrofluids Flow in Magnetic Targeting Drug Delivery[J]. Applied Mathematics and Mechanics, 2008, 29(10): 1219-1226.
Citation: LIU Han-dan, XU Wei, LIANG Qing-hua, WANG Shi-gang, KE Zun-ji. Hydrodynamic Modeling of Ferrofluids Flow in Magnetic Targeting Drug Delivery[J]. Applied Mathematics and Mechanics, 2008, 29(10): 1219-1226.

Hydrodynamic Modeling of Ferrofluids Flow in Magnetic Targeting Drug Delivery

  • Received Date: 2007-10-11
  • Rev Recd Date: 2008-07-24
  • Publish Date: 2008-10-15
  • Among the proposed techniques for delivering drugs to specific locations within the human body,magnetic drug targeting surpasses due to its non-invasive character and its high targeting efficiency.Magnetic targeting drug delivery is a method of carrying drug-loaded magnetic nanoparticles to a tissue target under the applied magnetic field.This method increases the drug concentration in target and reduces the adverse side-effects.Although there have been some analyses theoretically for magnetic drug targeting,very few researchers have addressed the hydrodynamic models of magnetic fluids in the blood vessel of human body.A mathematical model was presented to describe the hydrodynamics of ferrofluids as drug carriers flowing in a blood vessel under the applied magnetic field.In this model,the magnetic force and the asymmetrical force were added and an angular momentum equation of magnetic nanoparticles under the applied magnetic field was modeled.And engineering approximations were achieved by retaining the physically most significant items in the mathematical model due to the mathematical complexity of the motion equations.Numerical simulations were performed to obtain better insight into the theoretical model with computational fluid dynamics(CFD)'simulation results demonstrate the important parameters leading to adequate drug delivery to the target site depending on the magnetic field intensity,which coincide with those animal experiments.Results of the analysis provide important information and can suggest strategies for improving delivery in favor of the clinic application.
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