Nanostructure and Magnetic Field Ordering in Aqueous Fe
3O
4Ferrofluids: A Small-Angle
Neutron Scattering Study
A. Taufiq1, S. Sunaryono1, N. Hidayat1, E. G. R. Putra2, A. Okazawa3, I. Watanabe4, N. Kojima5, S. Pratapa6, D. Darminto6
1Department of Physics, Faculty of Mathematics and Natural Sciences, Universitas Negeri Malang, 65145 Malang, Indonesia
2Sekolah Tinggi Teknologi Nuklir, National Nuclear Energy Agency of Indonesia, 55281 Yogyakarta, Indonesia
3Department of Basic Science, The University of Tokyo, Komaba, Meguro-ku, 153-8902 Tokyo, Japan
4Advanced Meson Science Laboratory, Nishina Center, RIKEN, 2-1, Hirosawa, Wako, 351-0198 Saitama, Japan
5Toyota Physical and Chemical Research Institute, Yokomichi 41-1, Nagakute, 480-1192 Aichi, Japan
6Department of Physics, Faculty of Science, Institut Teknologi Sepuluh Nopember, 60111 Surabaya, Indonesia
A R T I C L E I N F O A B S T R A C T AIJ use only:
Received date Revised date Accepted date Keywords:
Ferrofluid Fe3O4
SANS Nanostructure Ordering
Superparamagnetic
Despite the importance of reducing production costs, investigating the hierarchical nanostructure and magnetic field ordering of Fe3O4 ferrofluids is also important to improve its application performance. Therefore, we proposed an inexpensive synthesis method in producing the Fe3O4 ferrofluids and investigated their detailed nanostructure as the effect of liquid carrier composition as well as their magnetic field ordering. In the present work, the Fe3O4 ferrofluids were successfully prepared through a coprecipitation route using a central precursor of natural Fe3O4
from iron sand. The nanostructural behaviors of the Fe3O4 ferrofluids, as the effects of the dilution of the Fe3O4 particles with H2O as a carrier liquid, were examined using a small-angle neutron (SANS) spectrometer. The Fe3O4 nanopowders were also prepared for comparison. A single lognormal spherical distribution and a mass fractal model were applied to fit the neutron scattering data of the Fe3O4 ferrofluids.
The increasing carrier liquid composition of the fluids during dilution process was able to reduce the fractal dimension and led to a shorter length of aggregation chains. However, it did not change the size of the primary particles or building block (approximately 3.8 nm) of the Fe3O4 particles. The neutron scattering of the Fe3O4 ferrofluids under an external magnetic field in the range of 0 to 1 T exhibited in a standard way of anisotropic phenomenon originating from the nanostructural ordering of the Fe3O4 particles. On the other hand, the Fe3O4 powders did not show anisotropic scattering under an external field in the same range. Furthermore, the magnetization curve of the Fe3O4 ferrofluids and nanopowders exhibited a proper superparamagnetic character at room temperature with the respective saturation magnetization of 4.4 and 34.7 emu/g.
© 2019 Atom Indonesia. All rights reserved
INTRODUCTION
In recent years, Fe
3O
4nanoparticles have grown-up to become more exciting materials due to their applications
in many fields. During the last five years, many researchers have reported that Fe3O4 nanoparticles especially in ferrofluids, can be applied as ligand for biocatalyst [1], to identify dopamine content [2], to detect circulatingtumor cells [3], to print microstructures in a polymer matrix [4], heating and cooling system [5], as antibacterial and hyperthermia [6], catalyst [7], spintronic [8], sorbent for removal of oil from wastewater [9], catalytic reaction and drug delivery [10], electromagnetic wave absorption [11], catalytic reduction of 4-nitrophenol [12], simultaneous determination of DNA bases [13],
Corresponding author.
E-mail address: [email protected]
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wastewater treatment [14], and catechol biosensor [15].
Numerous synthesis methods have been carried out to prepare Fe3O4 nanoparticles in various sizes, forms, and distributions. Related to the preparation of the Fe3O4 ferrofluids, one of the primary targets in synthesizing Fe3O4 nanoparticles is obtaining the particles in nanometric size with a proper distribution in a single-domain character.
The synthesis methods that have been trusted in attaining the target are, for example, coprecipitation [16], decomposition of homemade iron eleate [17], microemulsion-solvothermal [18], microwave- solvothermal [19], hydrothermal [20], sol gel- hydrothermal [21], ultrasonic irradiation [22], static magnetic field-assisted [23] and mechano-chemistry [24]. However, such methods tend to be costly because of their expensive raw materials as primary precursors. Therefore, in this work, we propose an alternative approach by using an inexpensive primary precursor of iron sand obtained from natural Indonesian resource.
Fe3O4 ferrofluids or magnetic colloids are composed of single-domain magnetite particles dispersing in an appropriate liquid carrier [25].
Previous papers showed that ferrofluids tend to be unstable fluids due to agglomeration phenomena [26–28]. In order to obtain stable Fe3O4 ferrofluids, the Fe3O4 nanoparticles can be coated with a surfactant such as tetra methyl ammonium hydroxides (TMAH). Furthermore, the liquid carrier composition of the ferrofluids also plays an essential role in keeping the stabilization of the fluids. In previous work, it was shown that the composition of water as a liquid carrier could reduce the size of the fractal aggregation of Fe3O4 ferrofluids from about 3 to 2 dimension, as studied by SANS [29]. However, a stable ferrofluid without any aggregation is still very difficult to be appropriately obtained. For that reason, to acquire stable Fe3O4 ferrofluids in the absence of fractal structure, we investigate the effects of variations in the compositions of Fe3O4
particles and liquid carrier on nanostructures of fluids.
Despite the effects of variations in compositions, the structures of the fluids were also strongly affected by an external magnetic field.
Nkurikiyimfura and co-workers reported that external magnetic field induces the nanostructural- ordering such as the chain-like structures of Fe3O4
particles in ferrofluids [30]. They successfully showed that the ferrofluids with nanostructural ordering in extended chain-like structures significantly increase their thermal conductivity under an external magnetic field. However, regarding nanostructural ordering, they only
predicted the effect of magnetic field on the nanostructures by modeling analysis without experimental data. Therefore, in order to deepen the detailed structures, in place of exploring the structural stability of the fluids due to particle concentration, we also present our investigation on the nanostructural ordering of both Fe3O4 fluids and powders based on such magnetic field by conducting a SANS experiment. SANS was employed to examine the structures directly, and also the nanostructural ordering of the Fe3O4 in the fluids and powders under external magnetic field.
Moreover, the magnetization and superparamagnetic characters of the Fe3O4 powders and ferrofluids are also discussed.
EXPERIMENTAL METHOD
As the starting material, the iron sand originated from Indonesia was used to prepare the Fe3O4 powders and ferrofluids by employing a coprecipitation method. The analytical grade of hydrochloric acid (HCl) and ammonium hydroxide (NH4OH) from Sigma-Aldrich were used as dissolving and precipitating agents in preparing the Fe3O4 particles. Furthermore, the analytical grades of TMAH from Sigma-Aldrich and H2O were also employed as a surfactant and dispersing agents respectively, to make stable Fe3O4 ferrofluids. The details of the experimental procedure for producing Fe3O4 powders and ferrofluids were reported in our previous works [31–33]. Finally, the dilution of Fe3O4 ferrofluids with liquid carrier specified by volume composition of H2O and Fe3O4 ferrofluids were 0:1, 1:1, 1:2 and 1:5 respectively.
The crystal structure, phase purity, and functional groups of the Fe3O4 particles were investigated using X-ray diffractometer (XRD) and Fourier transform infra-red (FTIR) spectrometer at room temperature, respectively. The specific nanostructural properties of the Fe3O4 powders and ferrofluids were investigated in BATAN Indonesia using a 36-meter SANS spectrometer. During the SANS experiment, the nanostructural ordering was studied by maintaining an external field of 1 T.
After conducting the SANS experiment, the scattering intensities of the samples were then subtracted to be analyzed. For data analysis, we applied a single lognormal spherical distribution and a mass fractal model in fitting the neutron scattering data. Furthermore, the magnetic properties of the Fe3O4 powders and fluids were examined using SQUID magnetometer at The University of Tokyo, Japan. A magnetic field ranging from -5 to 5 T was applied to obtain the hysteresis curve of the Fe3O4
powders and fluids.
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RESULTS AND DISCUSSION
In order to investigate the crystal structure and phase purity of the Fe3O4 particles, the X-ray diffraction experiment was engaged to obtain the diffraction patterns as shown in Fig. 1. Based on the fitting analysis (represented by solid line) of the ex- perimental data using Rietveld analysis, it was found that the Fe3O4 particles constructed a single phase in a cubic structure with the space group of F d -3 m Z. From the quantitative analysis, the lattice parameters and goodness of fit were a = b = c = 8.362 Å and 0.701, respectively. In such space group, the Fe2+ and Fe3+ ions randomly occupied oc- tahedral and tetrahedral positions [34]. The Fe ions in tetrahedral positions occupied a tetrahedron posi- tion surrounded by four oxygen atoms. Meanwhile, the Fe ions in octahedral positions occupied an octa- hedron position surrounded by six oxygen atoms.
Fig. 1. XRD data and fitting model of the Fe3O4 particles.
Fig 2. FTIR spectrum of the Fe3O4 particles.
For the certainty that the Fe ions occupied the sites, we investigated the functional groups of the prepared Fe3O4 particles at a wavenumber in the range of 400 - 3500 cm-1. The data analysis of the FTIR spectra as shown in Fig. 2 exhibited that the functional groups of the Fe-O, both in tetrahedral and octahedral sites were determined at the wavenumber of ~580 and ~1540 cm-1. Meanwhile, the peaks at the wavenumbers of ~1635 and ~3340 cm-1 were originated from the functional groups of respective hydroxyl groups and bands of water [35].
Such data provides information that the Fe ions consisting of Fe2+ and Fe3+ are randomly placed in the spinel system, which corresponds to the X-ray diffraction data. In line with the FTIR data, the previous work presented that the Fe3O4 particles formed a single phase in a spinel cubic structure [31,36].
Fig. 3 and Table 1 present SANS profiles of the samples and their data analysis results. The figure gives information on the scattering intensity (i) and momentum transfer as scattering vector (q).
In this work, a lognormal distribution model as a form factor was employed to determine the distribution and size of the Fe3O4 particles according to Equation 1 [28].
P(R)= 1
Rσ
√
2πexp(
−ln2(
2Rσ2R0) )
(1)
Where σ refers to the standard deviation and R0
refers to the characteristic radius of the distribution.
Meanwhile, the mass fractal structure [37] of the Fe3O4 particles as a structure factor was explored ac- cording to Equation 2.
S(q)=1+DҐ(D−1)
(D−1)/2 ×sin
[
D−1]
tan−1(qξ)×
( qR )
D[ 1+ 1 ( q
2ξ )
2]
(2)Where S is the structure factor, q is the scattering vector, D is the fractal dimension, R is the size of particles in a spherical form, and ξ is the correlation length.
The SANS data were fitted by employing the two-lognormal spherical model to calculate the primary (R1) and secondary particles (R2) as clusters.
A single mass fractal model was combined to
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calculate the structure factor (S). In this case, Equation 3 presents the theoretical model for global fitting [32].
i(q)≈
∫
0
∞
N1
(
R1)
FN2
(
q , R1)
d R1+¿∫
0∞
N2
(
R2)
FN2
(
q , R2)
d R2S(
q , ξ , D , R2)
(3)
where i refers to the scattering intensity, F refers to the scattering amplitude, and N refers to the number density of the particles.
Based on Fig. 3, it is evident that all SANS patterns of the Fe3O4 ferrofluids have a similar trend at medium and high q values, but a different trend at low q. The figure represents that the size of the Fe3O4 primary particles in the fluids was stable and not affected by the variations of liquid carrier contents. The increasing liquid carrier content only contributed to reducing the fractal dimension that can be easily seen by lowering the slope of the scattering patterns at the low-q regime. However, a quantitative analysis by using a global fitting [32], is necessary to calculate the primary particles and fractal structure of the Fe3O4 ferrofluids in exact values. The SANS patterns of the Fe3O4 ferrofluids were firstly fitted using Eq. 3. On the other hand, the fitting model was not appropriate with the SANS data, which implied that the Fe3O4 nanoparticles in the fluids have different structures from the powders. Consequently, we propose another model for fitting the SANS data using a single lognormal and a mass fractal model without adding the secondary particles. The following equation presents the mathematical model.
¿ i(q)≈
∫
0
∞
N1
(
R1)
FN2
(
q , R1)
d R1S¿) (4)
Fig. 3. SANS profiles of the Fe3O4 ferrofluids.
It is clear that the experimental data of SANS (represented by circles, squares, triangles, and cross symbols) coincide with the theoretical model calculation (represented by a solid line). Table 1 shows the fitting results of the SANS data of the fluids diluted with water as a liquid carrier in several compositions using Eq. 4. The table points out that the size of the Fe3O4 primary particles (R1) in the fluids did not change due to the liquid carrier compositions. The primary particles of the Fe3O4 in the fluids were formed during the precipitation process before the addition of the of TMAH surfactant. The surfactant was not able to reduce the size of the building block, but effectively covered the surface of the Fe3O4 particles in order to enhance the fluid stabilization by reducing the size of clusters or aggregations. The size of fractal aggregate (ξ) is decreased by increasing the liquid carrier content. It reveals that the dilution of the Fe3O4 ferrofluids by increasing water content leads to a shorter length of aggregation chains. The reduction of aggregation chains occurred in dilution process by giving mechanical energy such as kinetic energy from the magnetic bar at 1000 rpm during the synthesis process. After covering the surface of the Fe3O4 primary particles in the fluids, TMAH continuously prevented aggregations of the particles. Therefore, the high-speed rotation of the magnetic bar during the stirring process is believed to break aggregates of the Fe3O4 particles in the fluids.
Different with the Fe3O4 particles in the fluids, the Fe3O4 powders have similar primary particles (R1) of approximately 3.8 nm, which constructed bigger particles (R2) as secondary particles or clusters of about 9.3 nm with a fractal dimension (D) = 2.9. It means that the primary particles of Fe3O4 powders as building block construct clusters
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in a large size and grow up in 3-dimensional structures as aggregations. Theoretically, the smaller the particles size of the Fe3O4 nanoparticles, the larger their affinity to form aggregates relating to low energy barriers [38]. Moreover, the interparticle interactions of the magnetic nanoparticles also play an essential role in the aggregation process. It means that the Fe3O4 powders have similar primary particles with the magnetic fluids [31,32]. However, the Fe3O4 powders constructed bigger particles as clusters or secondary particles with a higher fractal dimension than magnetic fluids. These results become physical evidence that employment of TMAH as a surfactant is already successful to cover the surface of magnetic particles in preventing the agglomeration growth.
Table 1. Fitting results of the SANS data for the Fe3O4
ferrofluids
Sample R1
(nm) R2
(nm) ξ (nm)
D H2O : Fe3O4
ferrofluids
= 0:1 3.8 - 45.3 1.2
H2O : Fe3O4
ferrofluids
= 1:1
3.8 - 27.8 1.1
H2O : Fe3O4
ferrofluids
= 2:1 3.8 - 23.4 1.1
H2O : Fe3O4
ferrofluids
= 5:1
3.8 - - -
Fe3O4
nanopowder
s [32] 3.8 9.3 - 2.9
The fitting results also provide further information on the fractal dimension (D). In general, the D value of the Fe3O4 ferrofluids reduced from about 1.2 to 1.1 and then disappeared at the highest liquid carrier content. The fractal dimension value which is close to 1 can be associated with the chain- like structures. The increasing liquid carrier content in the Fe3O4 ferrofluids has a consequence of an expansion of dilution volume, i.e., a significant distance among magnetic nanoparticles that yields small interactions among magnetic particles. The lower the liquid carrier content, the higher the concentration of the magnetic nanoparticles gaining domination of the interparticle correlation interference [29]. Furthermore, at the highest liquid carrier content, the fitting analysis points out that the fractal dimension of the sample has a probable value that is lower than 1, which is associated with the absence of the fractal structure. The absence of the fractal structure S(q) 1, is a consequence of the scattering that only contributed to the form factor.
This phenomenon guides us to the estimated
conclusion that the composition of ferrofluids and the liquid carrier has a critical value to break the fractal structure. Thus, each sample has different aggregation structures caused by the increasing liquid carrier content during the dilution process.
The mean distances among Fe3O4 nanoparticles in the fluids become increasingly distant. The higher the liquid carrier content, the longer the distance between magnetic particles in the fluids. At the critical value, the magnetic particles can be determined by isolated particles. Consequently, the scattering is only contributed by the form factor without any interference from the structural factor (fractal structure). As a result, the Fe3O4 ferrofluids with the highest liquid carrier composition have proper criteria as stable fluids that open a high potential to be applied in many fields. In this stage, the given kinetic energy can impair fractal structure stability of the Fe3O4 ferrofluids. Theoretically, the mechanism of aggregations contributes to construct fractal dimension. Furthermore, the balance between repulsive and attractive interactions, and the thermal contribution contribute to the instability of the Fe3O4
ferrofluids [39]. Regardless of investigations of the contribution of liquid carrier to reduce fractal structures, further SANS experiments by applying an external magnetic field of both Fe3O4 powders and ferrofluids were also carried out to examine the nanostructural ordering.
Based on Fig. 4, the scattering of the Fe3O4
powders has similar isotropic patterns with the Fe3O4 ferrofluids without an external magnetic field.
Interestingly, under a magnetic induction of 1 T during SANS experiment, the Fe3O4 ferrofluids exhibit anisotropic scattering, but it does not appear on the Fe3O4 powders. Based on Fig. 6, it is clear that under the external field of 1 T, the magnetic moments of the Fe3O4 particles both in powders and fluids are parallel to the direction of the external field and they tend to saturate. However, the neutron scatterings of the Fe3O4 in powders and fluids under a magnetic induction of 1 T are different. Therefore, we suppose that the anisotropic neutron scattering in the fluids could be contributed by the nanostructural ordering of the Fe3O4 particlesoriginating from the natural orientation of the particles influenced by the magnetic field. Moreover, the flexibility of the liquids also contributes to the particles ordering of the Fe3O4. On the other hand, the magnetic particles are difficult to orientate in the powders because their particles have a low degree of flexibility of motion.
Under an external field, the particles in the fluids orientate easily following the Brownian motion. Fig.
5 and Fig. 6 visualize the structures of the Fe3O4
powders and ferrofluids without and with a magnetic induction of 1 T.
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Fig. 4. SANS profiles of the Fe3O4 powders (a) without and with (b) the external field of 1 T, the Fe3O4 ferrofluids (c) without and with (d) external field of 1 T.
Fig 5. Structural models of the Fe3O4 powders (a) without and (b) with an external field 1 T.
Fig. 6. Structural models of the Fe3O4 ferrofluids (a) without and (b) with the external field.
Fig. 7. M-H curves of the Fe3O4 nanopowders and ferrofluids.
Based on Fig. 5 (a), the Fe3O4 powders aggregate in compact structures (3-dimensional structures) that represent the fractal dimension (D) = 2.9 calculated from the mathematical model.
Without external field, the magnetic moments have a random orientation. On the other hand, under the external field of 1 T as displayed in Fig. 5 (b), the magnetic moments of the Fe3O4 particles are oriented by following the magnetic field direction.
However, the magnetic particles are difficult to be oriented because the particles are constrained in their solid state. The structural model of magnetic particles orientation in this work is also appropriate with the model proposed by another group [40].
Furthermore, in the absence of an external magnetic field as displayed in Fig. 6 (a), the Fe3O4 particles in the fluids with chain-like structures are forced to be oriented in producing structural ordering as visualized in Fig. 4 (d). Under a magnetic induction of 1 T as shown in Fig. 6 (b), the magnetic particles in the fluids orientate easily following the magnetic moment's orientation. The magnetic particles in the fluids then formed a long structural ordering in 1 dimension. In good agreement with this work, Nkurikiyimfura et al. proposed a structural orientation model of magnetic particles in extended chain-like structures under the effect of an external field. Moreover, Mehta et al also reported that by employing an external field during SANS experiment, the particles changed their structures and built long-range orders of chains [27].
Despite studying the nanostructural properties, studying the magnetic properties of the Fe3O4 ferrofluids also become important. The magnetic properties of the Fe3O4 in powders and fluids investigated by using a SQUID magnetometer is presented in Fig. 7. The figure shows the M-H are fitted properly by Langevin function. The solid star, circle, and solid line represent the experimental data
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of the Fe3O4 nanopowders and ferrofluids, and fitting model using Langevin function, respectively.
Based on the fitting analysis, the Fe3O4 in powders and fluids have coercivity value of approximately 0 with S-shape indicating a superparamagnetic character [41–43]. The saturation magnetization value of the Fe3O4 in powders and fluids are 34.7 and 4.4 emu/g, respectively. The increasing saturation magnetization of the Fe3O4 powders originated from the secondary particles as clusters, aggregation, and fractal dimension. Theoretically, in the absence of an external field, the magnetic moments of the superparamagnetic material have a random orientation and they orientate in the direction of the magnetic field under an external field. In the fluids, the random orientation of the magnetic single-domain particles is contributed by the thermal energy overcoming the anisotropy energy barrier [44].
CONCLUSION
The Fe3O4 ferrofluids were successfully prepared using local natural iron-sand. The increasing liquid carrier content in the Fe3O4
ferrofluids was able to reduce the aggregation chains and fractal dimension. Meanwhile, the size of the Fe3O4 primary particles of approximately 3.8 nm was not changed by different liquid carrier compositions. Interestingly, under an external field of 1 T, the neutron scattering of the fluids exhibited an anisotropic pattern corresponding to the nanostructural ordering of the Fe3O4 particles.
However, the anisotropic pattern of the Fe3O4
powders was not observed. Furthermore, the magnetization curve of the Fe3O4 nanopowders and ferrofluids displayed a superparamagnetic character.
ACKNOWLEDGMENT
We would like to thank the Central Labora- tory of Universitas Negeri Malang, Malang-Indone- sia; the Neutron Scattering Laboratory at BATAN, Serpong-Indonesia; and the University of Tokyo, Tokyo-Japan; for the facilities of sample prepara- tions and characterizations. This work is partially supported by the research grant from KEMENRIS- TEKDIKTI RI for AT.
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