DocumentCode :
1766541
Title :
Size Distribution and Magnetization Optimization of Single-Core Iron Oxide Nanoparticles by Exploiting Design of Experiment Methodology
Author :
Lak, Aidin ; Ludwig, Frank ; Scholtyssek, Jan M. ; Dieckhoff, Jan ; Fiege, Kathrin ; Schilling, Meinhard
Author_Institution :
Inst. fur Elektr. Messtech. und Grundlagen der Elektrotech., Tech. Univ. Braunschweig, Braunschweig, Germany
Volume :
49
Issue :
1
fYear :
2013
fDate :
Jan. 2013
Firstpage :
201
Lastpage :
207
Abstract :
The synthesis of single-core superparamagnetic iron oxide nanoparticles (SPIONs) via high temperature decomposition of the self-synthesized Fe(III)-oleate was studied by exploiting factorial design of experiment methodology to investigate the influence of Fe(III)-oleate concentration, reaction temperature and time, and heating rate on the particle core and hydrodynamic size distributions and magnetization. This approach enabled us to establish a reliable and reproducible protocol for the synthesis of monodisperse SPIONs with high magnetic performance. The structural and magnetic properties of SPIONs were characterized utilizing a variety of methods. By applying a multiple linear regression model, a simple and robust empirical growth model was found for the particle hydrodynamic diameter, presenting its dependencies on reaction temperature and time, and Fe(III)-oleate concentration. Having studied the thermal decomposition behavior of Fe(III)-oleate, the synthesis of highly monodisperse particles with a core size of ~ 12-14 nm and suitable magnetic properties was attributed to burst nucleation which is followed by a rapidly terminating growth. In contrast, the particles with a large primary core size of ~ 22-24 nm, crystallized via a gradual and low temperature nucleation accompanied by a slow growth and Ostwald ripening, show a broader or multi-modal size distribution with relatively poor magnetic performance.
Keywords :
crystallisation; hydrodynamics; iron compounds; magnetic particles; magnetisation; nanofabrication; nanoparticles; optimisation; organic compounds; pyrolysis; regression analysis; superparamagnetism; Fe(III)-oleate concentration; FeO; Ostwald ripening; crystallisation; experiment methodology; factorial design; gradual temperature nucleation; high magnetic performance; high temperature decomposition; hydrodynamic size distributions; large primary core size; low temperature nucleation; magnetic properties; magnetization optimization; monodisperse SPION; monodisperse particles; multimodal size distribution; multiple linear regression model; particle hydrodynamic diameter; rapidly terminating growth; relatively poor magnetic performance; robust empirical growth model; self-synthesized Fe(III)-oleate; simple empirical growth model; single-core superparamagnetic iron oxide nanoparticles; size distribution; structural properties; thermal decomposition behavior; Atmospheric measurements; Biomedical measurements; Heating; Hydrodynamics; Iron; Magnetic cores; Particle measurements; Design of experiment; magnetization; optimization; single-core iron oxide nanoparticles; size distribution;
fLanguage :
English
Journal_Title :
Magnetics, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9464
Type :
jour
DOI :
10.1109/TMAG.2012.2224325
Filename :
6392391
Link To Document :
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