TY - JOUR ID - 11237 TI - Optimization of Iron Oxide Nanoparticle Preparation for Biomedical Applications by Using Box-Behenken Design JO - International Journal of Nanoscience and Nanotechnology JA - IJNN LA - en SN - 1735-7004 AU - Honary, S. AU - Ebrahimi, P. AU - Asgari-rad, H. AU - Mohamadpour, F. AD - Honary AD - Department of Chemistry, Faculty of Sciences, Golestan University, P.O. Box 155, Post code 4913815759, Gorgan, I.R.Iran AD - Mazandaran University of Medical Sciences, School of Pharmacy, Department of Pharmacy, Sari, I.R.Iran Y1 - 2014 PY - 2014 VL - 10 IS - 4 SP - 257 EP - 261 KW - Box-Behenken design KW - Iron oxide KW - nanoparticles KW - Optimization DO - N2 - Magnetic nanoparticles can bind to different drug delivery systems and can be used for drug targeting to a specific organ by using an external magnetic field as well as used in hyperthermia by heating in alternating magnetic fields. The characteristics of iron oxide nanoparticles are significantly affected by particle size, shape and zeta potential, among which the particle size plays the most important role. In this study, a chemometric approach was applied for the optimization of iron oxide nanoparticle size. To optimize the size of nanoparticles, the effect of three experimental parameters on size was investigated by means of multivariant analysis for which Fe   2+/Fe3+ ratio, pH and ionic strength of the media were considered. The experiments were performed on the basis of the Box-Behenken experimental design. The obtained regression model was characterized by both descriptive and predictive abilities (R2 = 1). The method was optimized with respect to Z average diameter as a response. The Box-Behenken experimental design provides optimality in optimizing and testing the robustness of iron oxide nanoparticles preparation method. UR - https://www.ijnnonline.net/article_11237.html L1 - https://www.ijnnonline.net/article_11237_b67b55ea815c3a630247de8b7ca690cf.pdf ER -