2016
DOI: 10.1016/j.jmmm.2016.02.094
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Optimizing and modeling of effective parameters on the structural and magnetic properties of Fe3O4 nanoparticles synthesized by coprecipitation technique using response surface methodology

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Cited by 20 publications
(5 citation statements)
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References 41 publications
(53 reference statements)
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“… 1 - 5 In magnetic hyperthermia, the magnetic nanoparticles (MNPs) are exposed to a magnetic field to provide the required energy for temperature rise. 6 - 10 The temperature (around 42-44℃) damages the tumor cells without any significant injury to the tissues. Depending on the crystalline degree and the size of the nanoparticles, the therapeutic performance be change.…”
Section: Introductionmentioning
confidence: 99%
See 1 more Smart Citation
“… 1 - 5 In magnetic hyperthermia, the magnetic nanoparticles (MNPs) are exposed to a magnetic field to provide the required energy for temperature rise. 6 - 10 The temperature (around 42-44℃) damages the tumor cells without any significant injury to the tissues. Depending on the crystalline degree and the size of the nanoparticles, the therapeutic performance be change.…”
Section: Introductionmentioning
confidence: 99%
“…Depending on the crystalline degree and the size of the nanoparticles, the therapeutic performance be change. 10 , 11 Till now, many kinds of magnetic structures have been introduced for hyperthermia purposes including magnetite, spinel ferrites, and manganese-based perovskite structures. 12 - 15 The Fe 3 O 4 nanoparticles have been the best option for biomedical applications because of high thermal resistance, chemical stability, and high saturation magnetization.…”
Section: Introductionmentioning
confidence: 99%
“…During the coprecipitation synthesis, the nucleation and growth of MNPs are affected simultaneously by numerous parameters, such as total Fe concentration, the ratio of Fe(III) and Fe(II) precursors, the nature and concentration of the base, as well as the temperature [13][14][15][16].…”
Section: Introductionmentioning
confidence: 99%
“…Numerous optimization designs for experiments have used the RSM method, because central composite design (CCD) has limited effective factors (Bezerra et al 2008). RSM has been successfully used in MNPs and other areas of research (Ghazanfari et al 2016).…”
Section: Introductionmentioning
confidence: 99%