| Literature DB >> 35516573 |
Yumi Ida1, Atsushi Okazawa2, Kazutaka Sonobe3, Hisanori Muramatsu3, Tetsuya Kambe1,3, Takane Imaoka1,3, Wang-Jae Chun4, Makoto Tanabe1, Kimihisa Yamamoto1,3.
Abstract
Ultrasmall particles, different from the larger size nanoparticles, have recently attracted significant attention in the scientific community in nanotechnology for catalytic, electronic and optical applications; however, their magnetic properties remain unexplored due to the difficult structural analysis. A challenging issue is to develop a preparation method for iron oxide particles (IOPs) with fine size control, and to determine the dependence of magnetic properties on the morphology and crystallinity of the magnetic particles. However, synthetic approaches to obtain IOPs, regarded as one of the new fields of magnetic nanoparticles, have been significantly limited. This article reported a developed synthetic method to prepare IOPs on carbon supports using pulsed arc plasma deposition (APD) in flowing oxygen gas, which clarified the finely-controlled formation of IOPs on graphene nanosheets. Structural characterization of the IOPs revealed the formation of crystalline γ-Fe2O3 ultrasmall particles with oxygen deficiency. The pulsed APD method for IOPs is the first simple and convenient technique to not only prevent significant aggregation and contamination by organic compounds and avoid the need for thermal pretreatment, but also provide uniform crystalline nano-order particles. This journal is © The Royal Society of Chemistry.Entities:
Year: 2020 PMID: 35516573 PMCID: PMC9057782 DOI: 10.1039/d0ra07443h
Source DB: PubMed Journal: RSC Adv ISSN: 2046-2069 Impact factor: 4.036
Fig. 1(a) Process for producing SIOPs using the APD method. (b) Model of the deposited SIOPs on carbon materials. (c) Plots of the Fe loadings versus the shot count ratios (shot count/weight of supports: g−1).
List of the particle sizes and the Fe loading weight percentages (wt%) versus the pulsed shot count
| Sample | Shot count | Particle size [nm] | Fe loading [wt%] |
|---|---|---|---|
| KB200 | 200 | 1.39 ± 0.20 | 0.26 |
| KB400 | 400 | 2.30 ± 0.65 | 0.58 |
| KB800 | 800 | 3.02 ± 1.00 | 0.70 |
| KB2000 | 2000 | N/A | 2.18 |
| GO134 | 134 | N/A | 0.01 |
| GO267 | 267 | 0.75 ± 0.16 | 0.07 |
| GO534 | 534 | 1.25 ± 0.21 | 0.14 |
| GO1068 | 1068 | 1.15 ± 0.28 | 0.60 |
| GNP3666 | 3666 | 1.67 ± 0.24 | 0.18 |
| GNP7494 | 7494 | 1.93 ± 0.34 | 0.36 |
| GNP10900 | 10 900 | 1.72 ± 0.50 | 0.46 |
| GNP18409 | 18 409 | 2.48 ± 0.40 | 0.61 |
| GNP20000 | 20 000 | N/A | 1.45 |
Fig. 2HAADF-STEM images and particle size histograms of (a) KB200, (b) GO534, and (c) GNP3666.
Fig. 3XPS analysis of GNP10900.
Fig. 4(a) Normalized XANES spectra of GNP10900 (blue), α-Fe2O3 (red), γ-Fe2O3 (yellow), and Fe3O4 (green). Inset shows the pre-edge peaks of all the samples. (b) Fourier transform of EXAFS spectra (k3: Δk = 3–16 Å−1).
EXAFS analysis data of GNP10900, α-Fe2O3, and γ-Fe2O3a
| Sample |
|
| Δ |
|
|
|---|---|---|---|---|---|
| α-Fe2O3 | 5.5 ± 0.4 | 2.06 ± 0.007 | 1.6 ± 1.4 | 3.7 ± 0.2 | 0.034 |
| γ-Fe2O3 | 5.3 ± 0.4 | 2.05 ± 0.008 | 3.3 ± 1.5 | 4.0 ± 0.2 | 0.039 |
| GNP10900 | 5.8 ± 0.5 | 2.10 ± 0.009 | 6.7 ± 1.5 | 5.7 ± 0.2 | 0.039 |
Fourier transform and Fourier filtering regions for all the samples were limited to Δk = 3.0–16 Å−1 and Δr = 0.6–2.2 Å.
N, coordination number.
r, bond distance between absorber and backscatter atoms.
ΔE0, inner potential correction accounting for the difference in the inner potential between the sample and the reference.
σ 2, the Debye–Waller factor (DW).
R f (R-factor), goodness of curve fitting.
Fig. 557Fe Mössbauer spectra measured of (a) GNP3666 and (b) GNP10900 at 300 and 10 K. The gray curve denotes the fitting curve, where the red and blue curves stand for the paramagnetic and magnetic components, respectively.
Fitting parameters of the Mössbauer spectra for GNP3666 and GNP10900
| Sample | Temp. [K] | IS [mm s−1] | QS [mm s−1] |
|---|---|---|---|
| GNP3666 | 300 | 0.31 ± 0.01 | 0.90 ± 0.02 |
| 10 | 0.42 ± 0.02 | 1.02 ± 0.04 | |
| GNP10900 | 300 | 0.35 ± 0.01 | 0.85 ± 0.02 |
| 10 | 0.49 ± 0.02 | 0.79 ± 0.04 | |
| γ-Fe2O3 | 300 | 0.33 | 0.85 |
| α-Fe2O3 | 300 | 0.30 | 0.68 |
Particle size: 6.5 ± 2.1 nm.[33]
Particle size: <10 nm.[34]
Fig. 6Magnetization curves for γ-Fe2O3 nanoparticles deposited on the GNP series measured at 1.9 K, which indicate the magnetic moments per mole. (a) Magnetization curves ranging from −50 to 50 kOe. (b) Enlarged magnetization curves of GNP3666 and GNP10900. (c) Plots of the saturation magnetization (Ms) and coercivity (Hc) for the GNP series versus particle size.
Lists of Fe wt%, particle size, Ms and Hc in the GNP series and ≈50 nm γ-Fe2O3 purchased nanoparticles
| Sample | Fe loading [wt%] | Particle size [nm] |
|
|
|---|---|---|---|---|
| GNP3666 | 0.18 | 1.67 ± 0.24 | 0.73 | 202 |
| GNP7494 | 0.36 | 1.93 ± 0.34 | 1.27 | 129 |
| GNP10900 | 0.46 | 1.72 ± 0.50 | 0.87 | 282 |
| GNP18409 | 0.61 | 2.48 ± 0.40 | 1.44 | 302 |
| GNP20000 | 1.45 | N/A | 1.89 | 49 |
| γ-Fe2O3 | 15 | ≈50 | 1.99 | 296 |
Fig. 7Model for the growth of iron oxide nanoparticles on GNP. (1) Formation of iron oxide cores, (2) stacking of the FeO+ species on the Fe2O3 cores and (3) growing of the particles with higher density to create large size of the nanoparticles.