Study of the structural phase transformation of iron oxide nanoparticles from an Fe2+ ion source by precipitation under various synthesis parameters and temperatures

2015 ◽  
Vol 149-150 ◽  
pp. 473-479 ◽  
Author(s):  
A. Šutka ◽  
S. Lagzdina ◽  
T. Käämbre ◽  
R. Pärna ◽  
V. Kisand ◽  
...  
2018 ◽  
Vol 6 (6) ◽  
pp. 1280-1290 ◽  
Author(s):  
Y. Bao ◽  
J. A. Sherwood ◽  
Z. Sun

This review discusses several aspects regarding ultrasmall magnetic nanoparticles asT1contrast agents, including synthesis, parameters affectingT1, and applications.


2015 ◽  
Vol 38 (3) ◽  
pp. 599-606 ◽  
Author(s):  
ANJALI J DEOTALE ◽  
R V NANDEDKAR ◽  
A K SINHA ◽  
ANUJ UPADHYAY ◽  
PUSPEN MONDAL ◽  
...  

2010 ◽  
Author(s):  
Aidin Lak ◽  
Frank Ludwig ◽  
Ilka-Maria Grabs ◽  
Georg Garnweitner ◽  
Meinhard Schilling ◽  
...  

Crystals ◽  
2020 ◽  
Vol 10 (3) ◽  
pp. 214 ◽  
Author(s):  
Sebastian P. Schwaminger ◽  
Christopher Syhr ◽  
Sonja Berensmeier

Today, magnetic nanoparticles are present in multiple medical and industrial applications. We take a closer look at the synthesis of magnetic iron oxide nanoparticles through the co-precipitation of iron salts in an alkaline environment. The variation of the synthesis parameters (ion concentration, temperature, stirring rate, reaction time and dosing rate) change the structure and diameter of the nanoparticles. Magnetic iron oxide nanoparticles are characterized by X-ray diffraction (XRD), Raman spectroscopy and transmission electron microscopy (TEM). Magnetic nanoparticles ranging from 5 to 16 nm in diameter were synthesized and their chemical structure was identified. Due to the evaluation of Raman spectra, TEM and XRD, the magnetite and maghemite nanoparticles can be observed and the proportion of phases and the particle size can be related to the synthesis conditions. We want to highlight the use of Raman active modes A1g of spinel structured iron oxides to determine the content of magnetite and maghemite in our samples. Magnetite nanoparticles can be derived from highly alkaline conditions even without establishing an inert atmosphere during the synthesis. The correlation between the particle properties and the various parameters of the synthesis was modelled with linear mixture models. The two models can predict the particle size and the oxidation state of the synthesized nanoparticles, respectively. The modeling of synthesis parameters not only helps to improve synthesis conditions for iron oxide nanoparticles but to understand crystallization of nanomaterials.


Sign in / Sign up

Export Citation Format

Share Document