NUMERICAL ANALYSIS ON MATHEMATICAL MODEL FOR DRUG DELIVERY SYSTEM ON BLOOD FLOW IN EXTERNAL MAGNETIC FIELDS BY MAGNETIC NANOPARTICLES

Authors

  • Norma Alias Department of Mathematical Science, Center for Sustainable Nanomaterials (CSNano), Ibnu Sina Institute for Scientific and Industrial Research, Universiti Teknologi Malaysia, 81310 UTM Johor Bahru, Johor
  • Sakinah Abdul Hanan Department of Mathematical Science, Center for Sustainable Nanomaterials (CSNano), Ibnu Sina Institute for Scientific and Industrial Research, Universiti Teknologi Malaysia, 81310 UTM Johor Bahru, Johor
  • Akhtar Ali Department of Mathematical Science, Center for Sustainable Nanomaterials (CSNano), Ibnu Sina Institute for Scientific and Industrial Research, Universiti Teknologi Malaysia, 81310 UTM Johor Bahru, Johor
  • Zakaria Dollah Department of Mathematical Science, Faculty of Science, Universiti Teknologi Malaysia, 81310 UTM Johor Bahru, Johor

DOI:

https://doi.org/10.11113/jt.v78.8290

Keywords:

Mathematical modeling, drug delivery, sequential algorithm, finite difference schemes, numerical analysis.

Abstract

A new design of mathematical model of therapeutic compound in blood flow patterns in a capillary attached the magnetic nanoparticles by the external magnetic field which is applied uniformly is considered. The blood flowing through the capillary is dominated to be Newtonian and the flow is assumed unsteady, incompressible and laminar. Based on the present knowledge of the drug delivery, the mathematical models have highly potential to develop by researchers. The implementation of the sequential algorithm is used to model the magnetic nanoparticles drug delivery system. Discretization of the governing equation together with the boundary condition is carried out before they are solved numerically using a finite difference scheme. The sequential algorithms on the mathematical model based on some numerical methods such as Jacobi and Gauss Seidel. The numerical analysis investigates in terms of execution time, accuracy, computational complexity, convergence criterion, root means square error and maximum error. The Gauss Seidel is the superior method compared to Jacobi.

References

Cancer, I.A.f.R.o. 2014. World cancer report 2014. Geneva: WHO.

Isaeva, O. and V. Osipov. 2009. Different Strategies For Cancer Treatment: Mathematical Modelling. Computational and Mathematical Methods in Medicine. 10(4): 253-272.

Taylor, R., S. Coulombe, T. Otanicar, P. Phelan, A.Lv. W. Gunawan, G. Rosengarten, R. Prasher and H. Tyagi. 2013. Small Particles, Big Impacts: A Review Of The Diverse Applications Of Nanofluids. Journal of Applied Physics. 113(1): 011301.

Alias, N., M. R. Islam, T. Ahmad and M. A. Razzaque. 2013. Sequential Analysis of Drug Encapsulated Nanoparticle Transport and Drug Release Using Multicore Shared-memory Environment. Fourth International Conference and Workshops on Basic and Applied Sciences (4th ICOWOBAS) and Regional Annual Fundamental Science Symposium 2013 (11th RAFSS). Johor, Malaysia. 01-06.

Pheng, H. S., N. Alias and N. M. Said. 2007. High Performance Simulation For Brain Tumours Growth Using Parabolic Equation On Heterogeneous Parallel Computer System. Jurnal Teknologi Maklumat dan Multimedia. 4: 39-52.

Alias, N., N. M. Said, S. N. H. Khalid, D. S. T. Ching and P. T. Ing. 2008. High Performance Visualization Of Human Tumor Growth Software. VECPAR '08 - 8th Intern. Meeting High Performance Computing for Computational Science. Toulouse, France. 24-27 June 2008

Farokhzad, O.C. 2008. Nanotechnology For Drug Delivery: The Perfect Partnership. Expert Opinion On Drug Delivery. 5(9): 927-929.

Tietze, R., S. Lyer, S. Dürr and C. Alexiou. 2012. Nanoparticles For Cancer Therapy Using Magnetic Forces. Nanomedicine. 7(3): 447-457.

BĂLĂIŢĂ, L. and M. Popa. 2012. Hybrid Polymer Particles With Magnetic Properties For Drug Delivery. Rev. Roum. Chim. 57(12): 1003-1011.

Alexiou, C., R. Tietze, E. Schreiber, R. Jurgons, H. Richter, L. Trahms, H. Rahn, S. Odenbach and S. Lyer. 2011. Cancer Therapy With Drug Loaded Magnetic Nanoparticles—Magnetic Drug Targeting. Journal of Magnetism and Magnetic Materials. 323(10): 1404-1407.

Arruebo, M., R. Fernández-Pacheco, S. Irusta, J. Arbiol, M. R. Ibarra and J. Santamaría. 2006. Sustained Release Of Doxorubicin From Zeolite–Magnetite Nanocomposites Prepared By Mechanical Activation. Nanotechnology. 17(16): 4057.

Xu, C., C.Y.-T. Li and A.-N.T. Kong. 2005. Induction Of Phase I, II And III Drug Metabolism/Transport By Xenobiotics. Archives Of Pharmacal Research. 28(3): 249-268.

[13] Tzirtzilakis, E. 2005. A Mathematical Model For Blood Flow In Magnetic Field. Physics of Fluids (1994-present), 17(7): 077103.

Mykhaylyk, O., N. Dudchenko and A. Dudchenko. 2005. Doxorubicin Magnetic Conjugate Targeting Upon Intravenous Injection Into Mice: High Gradient Magnetic Field Inhibits The Clearance Of Nanoparticles From The Blood. Journal Of Magnetism And Magnetic Materials. 293(1): 473-482.

Anderson, J. D. 1995. Computational Fluid Dynamics. 206. Springer.

Mishra, S., V. K. Katiyar, V. Arora, G. Varshney and G. K. Vishwavidyalaya. 2008. Mathematical Model Of Effect Of Drug Delivery On Blood Flow In External Magnetic Field By Magnetic Nanoparticles. Technical Proceedings Of The 2008 NSTI Nanotechnology Conference And Trade Show, NSTI-Nanotech, Nanotechnology. Boston, Massachusetts, U.S.A. 45-48.

Higham, N. J. 2002. Accuracy And Stability Of Numerical Algorithms. Siam.

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Published

2016-04-18

How to Cite

NUMERICAL ANALYSIS ON MATHEMATICAL MODEL FOR DRUG DELIVERY SYSTEM ON BLOOD FLOW IN EXTERNAL MAGNETIC FIELDS BY MAGNETIC NANOPARTICLES. (2016). Jurnal Teknologi (Sciences & Engineering), 78(4-4). https://doi.org/10.11113/jt.v78.8290