TY - JOUR
T1 - Calculation of nanoparticle capture efficiency in magnetic drug targeting
AU - Cregg, P. J.
AU - Murphy, Kieran
AU - Mardinoglu, Adil
N1 - Funding Information:
This work was funded by Enterprise Ireland under the Applied Research Enhancement (ARE) program as part of the South Eastern Applied Materials (SEAM) Research Centre at Waterford Institute of Technology. AM is grateful to Cancer Research Ireland (Irish Cancer Society) for an Oncology Scholars Travel Award to attend the 6th International Conference on the Scientific and Clinical Applications of Magnetic Carriers , May 2006 in Krems, Austria. PJC and AM thank Armin Ebner, Axel Rosengart & Misael Avilés for helpful conversations at Krems.
PY - 2008/12
Y1 - 2008/12
N2 - The implant assisted magnetic targeted drug delivery system of Avilés, Ebner and Ritter, which uses high gradient magnetic separation (HGMS) is considered. In this 2D model large ferromagnetic particles are implanted as seeds to aid collection of multiple domain nanoparticles (radius ≈ 200 nm). Here, in contrast, single domain magnetic nanoparticles (radius in 20-100 nm) are considered and the Langevin function is used to describe the magnetization. Simulations based on this model were performed using the open source C ++ finite volume library OpenFOAM. The simulations indicate that use of the Langevin function predicts greater collection efficiency than might be otherwise expected.
AB - The implant assisted magnetic targeted drug delivery system of Avilés, Ebner and Ritter, which uses high gradient magnetic separation (HGMS) is considered. In this 2D model large ferromagnetic particles are implanted as seeds to aid collection of multiple domain nanoparticles (radius ≈ 200 nm). Here, in contrast, single domain magnetic nanoparticles (radius in 20-100 nm) are considered and the Langevin function is used to describe the magnetization. Simulations based on this model were performed using the open source C ++ finite volume library OpenFOAM. The simulations indicate that use of the Langevin function predicts greater collection efficiency than might be otherwise expected.
KW - High gradient magnetic separation (HGMS)
KW - Magnetic drug targeting
KW - Magnetic nanoparticle
KW - Magnetic seed
KW - Simulation
UR - http://www.scopus.com/inward/record.url?scp=53749087638&partnerID=8YFLogxK
U2 - 10.1016/j.jmmm.2008.06.021
DO - 10.1016/j.jmmm.2008.06.021
M3 - Article
AN - SCOPUS:53749087638
VL - 320
SP - 3272
EP - 3275
JO - Journal of Magnetism and Magnetic Materials
JF - Journal of Magnetism and Magnetic Materials
SN - 0304-8853
IS - 23
ER -