Hierarchical Structure of Magnetic Nanoparticles -Fe3O4- Ferrofluids Revealed by Small Angle X-Ray Scattering

https://doi.org/10.22146/ijc.59114

Gea Fitria(1), Arum Patriati(2), Mujamilah Mujamilah(3), Maria Christina Prihatiningsih(4), Edy Giri Rachman Putra(5*), Siriwat Soontaranon(6)

(1) Department of Nuclear Chemical Engineering, Polytechnic Institute of Nuclear Technology, Indonesia, Jl. Babarsari, Yogyakarta 55281, Indonesia
(2) Center for Science and Technology of Advanced Materials, National Nuclear Energy Agency of Indonesia, Kawasan Puspiptek Serpong, Banten 15314, Indonesia
(3) Center for Science and Technology of Advanced Materials, National Nuclear Energy Agency of Indonesia, Kawasan Puspiptek Serpong, Banten 15314, Indonesia
(4) Department of Nuclear Chemical Engineering, Polytechnic Institute of Nuclear Technology, Indonesia, Jl. Babarsari, Yogyakarta 55281, Indonesia
(5) Department of Nuclear Chemical Engineering, Polytechnic Institute of Nuclear Technology, Indonesia, Jl. Babarsari, Yogyakarta 55281, Indonesia Center for Science and Technology of Advanced Materials, National Nuclear Energy Agency of Indonesia, Kawasan Puspiptek Serpong, Banten 15314, Indonesia
(6) Synchrotron Light Research Institute of Thailand, 111 University Avenue, Nakhon Ratchasima 30000, Thailand
(*) Corresponding Author

Abstract


Small-angle X-ray scattering (SAXS) experiments were set up to investigate the form and structure of Fe3O4 magnetic nanoparticles (MNPs) using BL1.3:SAXS at the Synchrotron Light Research Institute (SLRI) of Thailand in the range of scattering vector q, 0.7 < q (nm–1) < 4. The scattering data from samples, background, and empty cells were collected and then subtracted using small-angle X-ray scattering image tool (SAXSIT) software. The analysis of the corrected scattering patterns for four different pH, i.e., 2, 3, 4, and 5, has been revealed by applying log-normal spherical and mass fractal models calculation. The results showed that the SAXS measurement could investigate the hierarchical structures of MNPs Fe3O4 containing primary and secondary particles. The two-dimensional fractal (Df) aggregates as secondary particles (in volume) have various sizes ranging from 21 to 103 nm in diameter, confirming the correlation to their pH. Those structures consist of primary particles with a mean length of 2 nm in radius and the particle size distribution (σ) of 0.5.

Keywords


magnetic nanoparticles Fe3O4; ferrofluids; small-angle scattering; X-ray synchrotron; nanostructures; hierarchical structure

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References

[1] Wu, Y., Yang, X., Yi, X., Liu, Y., Chen, Y., Liu, G., and Li, R., 2015, Magnetic nanoparticles for biomedicine applications, J. Nanotechnol. Nanomed. Nanobiotechnol., 2, 003.

[2] Engelmann, U., Buhl, E.M., Baumann, M., Schmitz-Rode, T., and Slabu, I., 2017, Agglomeration of magnetic nanoparticles and its effects on magnetic hyperthermia, Curr. Dir. Biomed. Eng., 3 (2), 457–460.

[3] Chu, X., Yu, J., and Hou, Y.L., 2015, Surface modification of magnetic nanoparticles in biomedicine, Chin. Phys. B, 24 (1), 014704.

[4] Rodriguez, A.F.R., Rocha, C.O., Piazza, R.D., dos Santos, C.C., Morales, M.A., Faria, F.S.E.D.V., Iqbal, M.Z., Barbosa, L., Chaves, Y.O., Mariuba, L.A., Jafelicci, M., and Marques, R.F.C., 2018, Synthesis, characterization, and applications of maghemite beads functionalized with rabbit antibodies, Nanotechnology, 29 (36), 365701.

[5] Sulungbudi, G.T., Yuliani, Lubis, W.Z., Sugiarti, S., and Mujamilah, 2017, Controlled growth of iron oxide magnetic nanoparticles via co-precipitation method and NaNO3 addition, JUSAMI, 18 (3), 136-143.

[6] Anitas, E.M., 2015, Fractal fragmentation and small angle scattering, J. Phys. Conf. Ser., 633, 012119.

[7] Anitas, E.M., 2017, “Small-angle scattering from mass and surface fractals” in: Complexity in Biological and Physical Systems – Bifurcations, Solitons and Fractals, Eds. Lopez-Ruiz, R., IntechOpen, London, United Kingdom.

[8] Taufiq, A., Sunaryono, Hidayat, N., Hidayat, A., Putra, E.G.R., Okazawa, A., Watanabe, I., Kojima, N., Pratapa, S., and Darminto, 2017, Studies on nanostructure and magnetic behaviors of Mn-doped black iron oxide magnetic fluids synthesized from iron sand, Nano, 12 (9), 1750110.

[9] Putra, E.G.R., Seong, B.S., Shin, E., Ikram, A., Ani, S.A., and Darminto, 2010, Fractal Structures on Fe3O4 Ferrofluid: A Small-Angle Neutron Scattering Study, J. Phys. Conf. Ser., 247, 012028.

[10] Rugmai, S., and Soontaranon, S., 2013, Manual for SAXS/WAXS data processing using SAXSIT, https://www.slri.or.th/en/bl13w-saxs.html.

[11] Kohlbrecher, J., Bressler, I., 2011, Software package SASfit for fitting small-angle scattering curve, Laboratory for Neutron Scattering, Paul Scherrer Institut, Switzerland.

[12] Londoño, O.M., Tancredi, P., Rivas, P., Muraca, D., Socolovsky, L.M., and Knobel, M., 2018, “Small angle X-ray scattering to analyze the morphological properties of nanoparticulated systems, in Handbook of Materials Characterization, Eds. Sharma, S., Springer, Cham, Switzerland.

[13] Teixeira, J., 1988, Small-angle scattering by fractal systems, J. Appl. Crystallogr., 21 (6), 781–785.

[14] Choi, Y.W., Lee, H., Song, Y., and Sohn, D., 2015, Colloidal stability of iron oxide nanoparticles with multivalent polymer surfactants, J. Colloid Interface Sci., 443, 8–12.

[15] Meng, X., Ryu, J., Kim, B., and Ko, S., 2016, Application of iron oxide as a pH-dependent indicator for improving the nutritional quality, Clin. Nutr. Res., 5 (3), 172–179.

[16] Pfeiffer, C., Rehbock, C., Hühn, D., Carrillo-Carrion, C., de Aberasturi, D.J., Merk, V., Barcikowski, S., and Parak, W.J., 2014, Interaction of colloidal nanoparticles with their local environtment: The (ionic) nanoenvirontment around nanoparticles is different from bulk and determines the physico-chemical properties of nanoparticles, J. R. Soc. Interface, 11 (96), 20130931.

[17] Cruz, D., Pimentel, M., Russo, A., and Cabral, W., 2020, Charge neutralization mechanism efficiency in water with high color turbidity ratio using aluminium sulfate and flocculation Index, Water, 12 (2), 572.

[18] Vereda, F., Martin-Molina, A., Hidalgo-Alvarez, R., and Quesada-Pérez, M., 2015, Specific ion effects on the electrokinetic properties of iron oxide nanoparticles: Experiments and simulations, Phys Chem Chem Phys, 17 (26), 17069–17078.

[19] Limpert, E., Stahel, W.A., and Abbt, M., 2001, Log-normal distributions across the sciences: Keys and clues: On the charms of statistics, and how mechanical models resembling gambling machines offer a link to a handy way to characterize log-normal distributions, which can provide deeper insight into variability and probability—normal or log-normal: That is the question, BioScience, 51 (5), 341–352.

[20] Jungblut, S., Joswig, J.O., and Eychmüller, A., 2019, Diffusion- and reaction-limited cluster aggregation revisited, Phys. Chem. Chem. Phys., 21 (10), 5723–5729.



DOI: https://doi.org/10.22146/ijc.59114

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