Abstract
The atomic-scale reduction mechanism of α-Fe2O3 nanowires by H2 was followed using transmission electron microscopy to reveal the evolution of atomic structures and the associated transformation pathways for different iron oxides. The reduction commences with the generation of oxygen vacancies that order onto every 10th plane. This vacancy ordering is followed by an allotropic transformation of α-Fe2O3 → γ-Fe2O3 along with the formation of Fe3O4 nanoparticles on the surface of the γ-Fe2O3 nanowire by a topotactic transformation process, which shows 3D correspondence between the structures of the product and its host. These observations demonstrate that the partial reduction of α-Fe2O3 nanowires results in the formation of a unique hierarchical structure of hybrid oxides consisting of the parent oxide phase, γ-Fe2O3, as the one-dimensional wire and the Fe3O4 in the form of nanoparticles decorated on the parent oxide skeleton. We show that the proposed mechanism is consistent with previously published and our density functional theory results on the thermodynamics of surface termination and oxygen vacancy formation in α-Fe2O3. Compared to previous reports of α-Fe2O3 directly transformed to Fe3O4, our work provides a more in-depth understanding with substeps of reduction, i.e., the whole reduction process follows: α-Fe2O3 → α-Fe2O3 superlattice → γ-Fe2O3 + Fe3O4→ Fe3O4.
Graphical abstract
1. Introduction
Reduction treatment of metal oxides has been widely used to yield active materials for a large variety of applications ranging from catalysis to electronic devices.1–5 For instance, metal oxides are used in heterogeneous catalysis as active catalysts, catalyst supports, and promoters. Reduced oxides are also used in electronic devices, magnetic memory, and as active / passive solar energy conversion materials.6–8 The chemical and physical properties of metal oxides are crucially affected by their stoichiometry, phase, microstructure, atomic termination, and defects, all of which can be modified by a choice of reduction treatment. A fundamental understanding of the microscopic mechanism of the reduction of metal oxides is indispensable for obtaining controllable functionalities of the oxide.
Iron oxide, in particular, has many different phases, with Fe in variable oxidation states, depending upon the reduction process. The iron oxides include hematite (α-Fe2O3), magnetite (Fe3O4), and wustite (FeO). Fe2O3 exhibits various polymorphs including α-Fe2O3 (rhombohedral), γ-Fe2O3 (cubic), β-Fe2O3 (cubic), and ε-Fe2O3 (orthorhombic), among which α-Fe2O3 is the most thermodynamically stable phase (Fig. 1(a)). Both γ-Fe2O3 (space group: P4132, a = b = c = 0.8347 nm) and Fe3O4 (space group: Fd-3m, a = b = c = 0.8394 nm) share the cubic structure with close-packed oxygen atoms along the <111> direction but vary in the oxidation state for Fe (Fig. 1(b, c)).9–10 Magnetite contains both Fe2+ and Fe3+ ions in the crystal lattice and is sometimes formulated as FeO·Fe2O3. In the crystal structure of Fe3O4, half of the Fe3+ ions are located in the tetrahedral interstitial sites, and the other half of the Fe3+ ions and all the Fe2+ ions occupy the octahedral sites (Fig. 1(c)).11 In γ-Fe2O3, due to the absence of Fe2+, some of the Fe positions are left unoccupied as random vacancies (Fig. 1(b)). FeO adopts the cubic, rock-salt structure, where Fe2+ ions are octahedrally coordinated by O2− ions (Fig. 1(d)). The applications for iron oxides intimately depend on their ability to redox (reduction and oxidation) cycle between the +2 and +3 oxidation states. However, the variable oxidation states of iron lead to a fairly complicated phase diagram of iron oxides with several easily interchangeable phases. Understanding the process of Fe2O3 reduction has therefore been a longstanding challenge.
The reduction mechanism of iron oxides by hydrogen has been studied by macroscopically averaging approaches such as temperature-programmed reduction (TPR)12 and X-ray diffraction.13 Based on the TPR studies, two mechanisms have been proposed: a three-step mechanism, Fe2O3 → Fe3O4 → FeO → Fe; and a two-step mechanism, Fe2O3 → Fe3O4 → Fe. While the reduction of a metal oxide usually commences via the nucleation and growth of a lower oxide as lattice oxygen escapes the parent phase, the microscopic process leading to the onset of the oxide reduction and the associated atomic structure evolution cannot be addressed using ensemble-averaging macroscopic approaches. Therefore the aforementioned reduction pathways of Fe2O3 do not describe any polymorphic transition which might occur. In addition, the materials undergo crystallographic structural transformations and a full description of the process requires both the chemical composition and crystallographic information. Moreover, there is a lack of direct observation and careful study of the kinetic pathways of the oxide reduction at the atomic scale.
Nanostructured iron oxides, such as nanoparticles, nanowires, nanoblades, and nanorods, have drawn extensive research focus due to their great potential for broad applications, ranging from catalysis to drug delivery.14–15 Previous reports about the reduction mechanism have primarily relied on observations of bulk materials. At the nanoscale, due to the size effect, different reduction behavior compared with the bulk might be anticipated. The nanowire is thus an ideal candidate, comprising a highly orientated skeleton, for studying how oxide reduction-induced phase transformations take place in one-dimensional systems.
Herein, we report the reaction pathway of H2 induced reduction of α-Fe2O3 nanowires, using transmission electron microscopy (TEM) to reveal the atomic structure evolution in the oxide. We choose α-Fe2O3 because it has the most stable phase with highest oxidation state of Fe and can be employed as a model system to study the reaction pathway of oxide reduction. We identify the atomic process leading to crystal structure changes as the oxide is reduced from a higher oxidation state into lower ones. Particularly, we use α-Fe2O3 nanowires because the one-dimensional morphology is a highly anisotropic structure, making it simple to understand how reduction-induced physical transformations take place. We find the proposed mechanism to be consistent with previously published and our density functional theory (DFT) results on the thermodynamics of surface termination and oxygen vacancy formation in α-Fe2O3.
2. Experimental and Computational
The α-Fe2O3 samples used for the reduction experiments were prepared using the thermal oxidation of polycrystalline Fe foils (99.99 % purity). The high-purity Fe foils are first thoroughly rinsed in deionized water followed by ultrasonication in acetone for 5 min. The cleaned iron foils are then placed on a substrate heater in a vacuum chamber and the sample temperature is monitored by a K-type thermocouple in contact with the substrate heater. The chamber is pumped to vacuum (≈ 3×10−4 Pa) and then filled with oxygen gas at a pressure of ≈ 270 Pa (99.999 % purity). The chamber is then sealed and the Fe sample is heated to the desired temperature (600 °C) at ≈ 20 °C min−1 in oxygen for 60 min. This yields well-aligned, crystalline α-Fe2O3 nanowires perpendicular to the Fe substrate.16–19 After the oxidation, the oxygen is pumped out and the chamber is evacuated to ≈ 3×10−4 Pa again. Subsequently, pure hydrogen gas (99.999 % purity) at a pressure of ≈ 270 Pa is admitted to the vacuum chamber. Meanwhile the temperature is reduced to 500 °C. After a reduction of 60 min at 500 °C in H2, the Fe sample is cooled down in the same hydrogen atmosphere to room temperature at a rate of ≈ 10 °C min−1.
The morphologies of the α-Fe2O3 nanowires both before and after the H2 reduction are examined using a field-emission scanning electron microscope (FEG-SEM). The atomic structures of the reduced nanowires are further analyzed using TEM operated at 200 kV. Electron energy-loss spectra (EELS), obtained with a monochromated electron source in the scanning transmission electron microscope (STEM), collected from reduced α-Fe2O3 nanowires were compared with those collected from four standard iron oxide samples (α-Fe2O3, γ-Fe2O3, Fe3O4 and FeO) under identical instrumental conditions, to measure the oxidation state of Fe at different reduction stages.
DFT calculations were performed with VASP20–21 using the projector-augmented wave method22 and the gradient-corrected Perdew, Burke and Ernzerhof (PBE)23 exchange-correlation functional. Strong correlation effects were treated within the DFT+U approach23–24 with a U = 4 eV value found to be suitable for Fe2O3 in previous studies.25–26 For direct comparison, we adopted the default settings from the work by Souvi et al26 for the energy cutoff (600 eV), k-point meshes (7×7×3 in bulk and 7×7×1 in slab structures), and the size of the slab cell (a 3-nm c-axis). Atomic forces in local conjugate-gradient optimizations were reduced below 0.3 eV / nm, while the lattice constants were kept fixed at the experimental values of a = 0.5035 nm (for bulk and slab structures) and c = 1.3747 nm (for bulk). We have reproduced and used the most stable antiferromagnetic arrangement on Fe3+ ions in bulk and slab calculations. Standard molecular dynamics (MD) runs were performed for slabs with 1 fs steps, a 400 eV energy cutoff, and a 5×5×1 k-mesh.
3. Results and Discussion
Fig. 2 shows the morphologies of α-Fe2O3 nanowires before and after the reduction. Fig. 2(a) is a representative FEG-SEM image of the α-Fe2O3 nanowires as-prepared by the oxidation of a Fe foil. The densely distributed α-Fe2O3 nanowires are approximately perpendicular to the iron substrate and have lengths up to 5 μm with a relatively uniform diameter of about 50 nm. The inset in Fig. 2(a) is a STEM image of a single α-Fe2O3 nanowire, showing that the nanowires have smooth surfaces. Although there is no significant change in the density and length of the nanowires after exposure to H2 at 500 °C for 60 min, some nanowires developed a saw-tooth surface morphology after the reduction reaction (Fig. 2(b)). As revealed by the higher magnification FEG-SEM image (inset in Fig. 2(b)), the surface of these saw-toothed nanowires is decorated with nanoparticles that are apparently formed during the H2 reduction process. It should be also noted that a large fraction of the nanowires (≈ 60 %, based on SEM image analysis of the reduced nanowires) still retain a smooth surface morphology, i.e., without the formation of nanoparticles on the parent nanowires. Among these nanowires with smooth surface morphology, some of them are still unreduced α-Fe2O3, indicating that the reduction is not uniform. This may relate to the stochastic population of defects in some nanowires, making them more reactive and easier to reduce compared with those without or with less defects.
Fig. 3(a) shows a TEM image of the typical morphology of a single α-Fe2O3 nanowire before the reduction. Inset is a nanodiffraction pattern obtained from the nanowire, which can be indexed as α-Fe2O3 [0001]. Fig. 3(b) is a representative high-resolution TEM (HRTEM) image from the α-Fe2O3 nanowire shown in Fig. 3(a) and the upper-right inset is a diffractogram of the HRTEM image, which is consistent with the nanodiffraction pattern shown in Fig. 3(a). The surface plane is , which is perpendicular to the . Both the diffraction pattern and high-resolution images confirm that the nanowires before reduction are α-Fe2O3.
Nanowires after reduction have two different morphologies: smooth and saw-toothed as shown in Fig. 2(b). The reduced nanowires with smooth morphology show minimal variation in diameter along the axial direction, i.e. no apparent bulge formation on the surface (Fig. 4(a)). However, super-lattice diffraction spots can be seen in the direction of the α-Fe2O3, oriented along the [0001] zone axis, from the electron nanodiffraction pattern (Fig. 4(b)). While defects are not immediately obvious upon the visual inspection of the HRTEM image of this nanowire ((Fig. 4(d)), the corresponding diffractogram (upper-right inset of Fig. 4(b)) shows the presence of super-lattice spots, consistent with the diffraction pattern shown in Fig. 4(b). The result is different from the diffractogram obtained from the un-reduced nanowires, where no super-lattice reflections are present (inset of Fig. 3(b)). In both the electron nanodiffraction and the diffractogram images, the fundamental spots are consistent with α-Fe2O3 [0001], indicating no change in the parent crystal structure.
The d-spacing between the adjacent spots in the super-lattice direction is 1.45 nm, which is 10 times of the d-spacing of the planes. The extra spots are parallel to the planes. The presence of super-lattice reflections in the diffraction pattern and the diffractogram provide evidence that the reduction of the oxide is initiated by the formation of oxygen vacancies that self-order by condensing onto every 10th plane while the nanowires still maintain the crystalline structure of α-Fe2O3. Based on this information we built a superstructure model using 10×10×1 unit cell of the original α-Fe2O3 with oxygen vacancies marked by red or yellow circles in Fig. 4(c). Structure models with different extents of reduction, i.e. different numbers of oxygen vacancies in the 10×10×1 supercell, were generated to simulate electron diffraction pattern and high-resolution images. The simulated HRTEM image (inset marked by red square in Fig. 4(d)) with one layer of oxygen vacancies in the supercell matched well with the experimental one. Moreover, we found that the simulated images and diffraction patterns are dependent on the fraction of ordered vacancies in the superstructure model (extent of reduction). The best match is based on the model with 1/6 of every 10th plane’s oxygen lattice site being occupied by a vacancy. That is, one of the six layers of oxygen in the supercell is occupied with the ordered vacancies, as shown in the view of the model from the “a” (lattice constant a) direction in Fig. 4(c). The observed partially-reduced oxide nanowires, as shown in Fig. 4, indicate that the oxide reduction is a multi-pathway process, most likely starting from the surface region, where the oxygen atoms are labile. Since reduction is a dynamic and continuous process, it is possible that the observed vacancy-ordering is just one of a series of ordering. We only observed the ordering of oxygen-vacancies on every 10th planes, which may be a relatively stable state and can be detected.
Vacancy migration is driven by the concentration gradient of oxygen vacancies. The concentration near the surface plane is higher than the core area of the nanowires because the oxygen atoms at the surface react first with hydrogen during reduction in H2. We believe that the vacancy ordering is strain-induced because the strain could affect the formation energy of the oxygen vacancies.27 We observed that most of the nanowires after reduction are bent due to the existence of strain. The strain affects the formation energy of oxygen vacancies. The formation of modulated structures induced by the long-range ordering of oxygen vacancies has also been observed in α-Fe2O3 nanowires produced by plasma oxidation of Fe28–29 or electrical heating of Fe under ambient conditions30 or treated in a reducing environment.31 It was proposed that the existence of shear stress along the planes may be the driving force for the ordering of oxygen vacancies on the planes.32 In addition, since the surface plane is , which is equivalent to . They are in accordance because the vacancies initiated on . As shown later, the superlattice structure induced by the long-range ordering of oxygen vacancies in the α-Fe2O3 nanowires is a metastable phase, which will be further reduced as the H2 reduction continues.
In the TEM image (Fig. 5(a)) of reduced nanowires with the saw-tooth morphology (Fig. 2(b)), a bulge is visible on the parent nanowire. Neither the electron diffraction pattern of the parent nanowire (area marked by circle b in Fig. 5(a)) nor of the bulge area (circled area c in Fig. 5(a)), as shown in Fig. 5(b and c), respectively, could be indexed as α-Fe2O3. However, both patterns can be indexed using either γ-Fe2O3 or Fe3O4 structures. Note that no superlattice is visible, meaning the ratio of Fe to O is no longer 2:3, i.e., some Fe3+ must have transformed to Fe2+. The HRTEM image in Fig. 5(d) is obtained from the interface area (marked by the square D in Fig. 5(a)) between the parent nanowire and the bulge. It is clear that the lattice planes run continuously from the nanowire region to the bulge, i.e., there is no clear/sharp interface area between the bulge and the parent nanowire, which is in line with a previous report showing the formation of continuous lattice planes across the γ-Fe2O3/Fe3O4 interface.33–34 However, the FFT pattern (inset in Fig. 5(d)) from the area marked with square box D in Fig. 5(d) on which the bulge has developed, shows two sets of diffraction patterns, which are the <111> of γ-Fe2O3 and Fe3O4.
It is challenging to distinguish γ-Fe2O3 and Fe3O4 structures by electron nano-diffraction because they have lattice constants within ≈ 0.5 % as mentioned before (Fig. 1(b, c)). However, for 3d transition metals, the 3d states are partially filled, which allow the 2p core electrons to be excited into the unoccupied 3d-orbital represented by L2 and L3 lines (white lines) in EELS.35–36 The intensity ratio of these white lines is therefore dependent upon the oxidation state of the metal. Since the Fe in the two phases have different oxidation states, the two phases can be distinguished by measuring the L3/L2 ratio in the EELS data collected from the parent and bulge regions of nanowires.
To do this, we first we prepared calibration standards using commercially available nanoparticle samples of different iron oxides, including α-Fe2O3, γ-Fe2O3, Fe3O4 and FeO. We analyzed them by STEM-EELS under the same conditions to compare the L3/L2 ratio. EELS spectra (Fig. 5(e)) were acquired under identical conditions from the parent nanowire (marked with b in Fig. 5(a)) and the bulge area (marked with c in Fig. 5(a)). All the spectra were background-subtracted using power-law curve fitting, and were deconvoluted to minimize the size or thickness effects.37–38 The L3/L2 ratios were calculated by using two arctangent functions to remove the post-edge backgrounds and to produce the isolated Fe L3 and L2 edges39: the results are listed in Table 1. The uncertainty is given by the standard deviation of multiple measurements. By comparing with the L3/L2 ratios of the standard samples of the iron oxides, we find that the values for the L3/L2 ratios from the reduced parent nanowire and the bulged region are close to those for Fe2O3 and Fe3O4, respectively.33 Therefore we conclude that the phase in Fig. 5(b) is γ-Fe2O3 <111> and in Fig. 5(c) is Fe3O4 <111>. Both γ-Fe2O3 and Fe3O4 are thermodynamically metastable phases. The occurrence of γ-Fe2O3 as a transition phase to Fe3O4 is in accordance with kinetic considerations, i.e. the lower kinetic barrier for the transformation from α-Fe2O3 to γ-Fe2O3 than from α-Fe2O3 to Fe3O4 allows this phase transition to take place. This has also been observed during the oxidation of Fe particles.40–41 Fig. 6 illustrates schematically the pathway of the crystallographic transformation based on our experimental observations of the reduction of α-Fe2O3 nanowires. The reduction of the α-Fe2O3 nanowires, formed by oxidation of the Fe foil, as reported extensively in our previous work,19, 32, 42–43 starts by the formation of random oxygen vacancies due to the removal of lattice oxygen by H2. During continued reduction, oxygen vacancies order via vacancy coalescence on every 10th plane that results in a partially reduced α-Fe2O3 nanowire with no morphological change. As the reduction continues, and more oxygen vacancies form; the α-Fe2O3 structure becomes unstable and transforms to the γ-Fe2O3 /Fe3O4 hybrid structure. The loss of oxygen-vacancy ordering, which is evident by the disappearance of the extra spots in the diffraction pattern, is accompanied with the partial change of oxidation state of Fe, forming Fe3O4 as a bulge having a topotactic orientation relationship with the γ-Fe2O3 nanowire. The theoretical densities for α-Fe2O3 and γ-Fe2O3 are 5.27 g•cm−3 and 5.47 g•cm−3, respectively. For the transformation of the parent nanowires from α-Fe2O3 to γ-Fe2O3, there is a volume shrinkage by ≈ 3 %. As shown from our TEM observations, the shape of the nanowire remains relatively unchanged, suggesting there is little diffusion involved or needed for the phase transition. Moreover, there is only a small change in composition, still very close to an allotropic transformation. The long-range ordering of oxygen vacancies disappears after enabling the allotropic transformation in the nanowires.
Table 1.
Although the γ-Fe2O3 and the Fe3O4, structures are very similar, their densities are different. The unit cell volume of γ-Fe2O3 is 0.5816 (nm)3 and there are 12 formula units in the unit cell, i.e. the theoretical density is 5.47 g•cm−3; while for Fe3O4, the unit cell volume is 0.5915 (nm)3 with 8 formula units in it, which gives a theoretical density of 5.10 g•cm−3.44 Therefore, the transformation from γ-Fe2O3 to Fe3O4 is accompanied by a volume expansion of ≈ 7 %9 and results in the formation of bulges on the parent nanowires.
It has been shown that hydroxyls (OH) can form on the hematite surface upon exposure to hydrogen at room temperature, which recombine to H2O and then desorb upon heating to ~ 275 K.45 Because of the significantly higher temperature (~ 800 K) employed in our reduction experiments, it is reasonable to expect that hydroxyls exist only as an intermediate and quickly desorb from the surface as H2O molecules, which results in the reduction of α-Fe2O3. While full ab initio modeling of the reduction process is challenging, select steps can be checked qualitatively against previously published and present DFT results. A number of DFT studies have been dedicated to examination of hematite’s bulk and surface properties.20, 25–26, 46–48 Souvi et al. reported a detailed analysis of the α-Fe2O3 adsorption thermodynamics in the presence of O2, H2O, and H2 gases.26 Based on these findings, our samples exposed to O2 under all considered (P, T) conditions most likely had purely Fe-terminated surfaces (Fe-O3-Fe in Fig. 7(a)). According to the calculated phase stability diagrams for hydrogenated surfaces26, one should expect different partial H coverages in the relevant (P, T) ranges. At 270 Pa and 900 K, the most stable configuration was found to be Fe-O3-H-Fe, in which one out of the three topmost O atoms forms an OH group. At lower temperatures, a more H-rich Fe-O3-2H-Fe configuration with a slightly reconstructed surface was determined to be thermodynamically stable, in which the formation of the second OH group pushed the O atom above the topmost Fe atom (see Fig. 7(b)).
We performed several MD runs to obtain additional information on the behavior of the system in the H2-rich environment at elevated temperatures. In order to accelerate the exploration of relevant nearby configurations in our longest simulation we set the temperature to the highest 800-K value used in the experiment. Starting with the previously reported stable Fe-O3-2H-Fe structure26, we evolved the system for 10 ps (10,000 steps) and monitored relative positions of the atoms at one of the surfaces. Fig. 7(d) demonstrates that among the three surface O atoms the two that are capped with H tend to stay above the average Fe position. This behavior can be attributed to a weaker bonding of the two H-capped O atoms with the subsurface Fe ions and to the configurational entropy factor that forces the system at high temperatures to stay predominantly in regions with abundance of nearly degenerate states. Fig. 7(e) tracks the O–H distances and reveals several instances of the O atoms acquiring a second H neighbor. The relaxed structure extracted at 1.3 ps was found to have the second nearest O-H distance of 0.157 nm and to be a local minimum only 0.13 eV above the initial state (Fig. 7(c)). Several structures appearing after 6.3 ps featured even shorter second O-H bond lengths as low as 0.120 nm. Despite not being local minima, configurations observed after 8.5 ps had one OH group consistently above the top Fe atom.
Although DFT-level MD simulations for systems of such size can rarely be used for determining or quantifying all relevant transformations, our results indicate that adsorbed H atoms show no propensity for migrating into the oxide but rather form H–OH complexes on the oxide’s surface. These frequently appearing motifs at typical H reduction temperatures are still strongly bonded to the surface Fe and/or O atoms but could be viewed as water molecule precursors. Identification of all intermediate steps and transition paths determining the removal of water molecules from the surface and, consequently, creation of a surface O vacancy (VO) will require a separately dedicated study. It will be interesting to compare the desorption paths and barriers to those obtained previously for select Fe- and O-terminated surfaces.20
Our last set of DFT calculations provides information on the energetics of creating VO in different bulk and surface α-Fe2O3 structures. For quantifying the VO-VO and VO-surface proximity effects we calculated and compared VO formation energies in 2 bulk and 4 slab configurations. As in our previous study of vacancies in CuO49, analysis of VO formation energy differences at the same (P, T) conditions does not require (P, T)-dependent adjustment of the chemical potential for O2 calculated at 0 K, as the correction cancels out. In the largest considered 2×2×1 bulk supercell, with vacancies separated by ~ 1 nm laterally and ~ 1.4 nm vertically, the 0-K defect formation energy was found to be 4.24 eV/VO. A reduction by 0.25 eV/VO was observed for the conventional 1×1×1unit cell (Fig. 1(a)), in which a single vacancy site is surrounded by 6 nearest images ~ 0.5 nm away in the x-y plane. The slab unit cell has the same lateral dimensions and we can isolate the influence of the surface by using the 3.99 eV/VO value from the 1×1×1 bulk calculation as a reference. Removal of a single O atom in different (sub)surface O layers shown in Fig. 7(a) resulted in lowering the VO formation energy by 0.07 eV/ VO for the 2nd layer and by 0.44 eV/ VO for the 1st one. It is worth noting that creation of vacancy pairs symmetrically in ether two 1st layers or two 2nd layers on the opposite slab surfaces resulted in virtually identical defect energies per VO, which is not surprising considering that the two 2nd layers on the opposite sides are already 0.72 nm apart. The findings suggest that even for relatively small separations of about 0.5 nm the direct VO-VO interaction does not exceed 0.1 eV/VO. Presence of the surface has a noticeable effect on the VO formation energy only in the 1st O layer. In dynamic equilibrium at 800 K, the ~ 0.4 eV/VO difference would cause about a 100-fold difference in the vacancy concentration in the surface and bulk layers. In the considered process, the relative vacancy concentrations also depend on the kinetics factors defining the O removal rate from the surface and the O diffusion rate from bulk to surface.
4. Conclusion
In summary, we have shown that the reduction of metal oxide nanowires can be employed to generate hybrid oxides that combine the metal in different oxidation states. The reduction starts with the formation of an ordered lattice of oxygen vacancies, forming the partially-reduced α-Fe2O3 superstructure. As reduction continues, the α-Fe2O3 nanowires transformed into a γ-Fe2O3 / Fe3O4 hybrid structure. The resulting oxide composites consist of the transformed oxide phase (γ-Fe2O3) that remains as the skeleton and the lower oxides (Fe3O4) that have the form of nanoscale bulges decorating the transformed oxide skeleton. The mechanism underlying the formation of these unique hybrid oxides is identified as an allotropic transformation of α-Fe2O3 → γ-Fe2O3 via the annihilation of oxygen vacancies in the parent α-Fe2O3, which is followed by a topotactic transformation of the γ-Fe2O3 → Fe3O4 via the nucleation of Fe3O4 nanoparticles on the surface of the transformed γ-Fe2O3 nanowires. Our DFT results are consistent with the experimental ones. Compared to previous report of α-Fe2O3 directly reduced to Fe3O4, our work provides a more in-depth understanding with substeps of reduction, i.e, the superlattice formation by oxygen vacancy ordering and the allotropic transformation happened during α-Fe2O3 → Fe3O4. The whole reduction process follows: α-Fe2O3 → α-Fe2O3 superlattice → γ-Fe2O3 + Fe3O4→ Fe3O4.
Acknowledgments
This work was supported by the National Science Foundation under NSF CAREER Award Grant CMMI-1056611. I.M. and A.N.K. gratefully acknowledge the NSF support (Award No. 1410514).
References
- 1.Prosini PP, Carewska M, Loreti S, Minarini C, Passerini S. Lithium Iron Oxide as Alternative Anode for Li-Ion Batteries. Int J Inorg Mater. 2000;2:365–370. [Google Scholar]
- 2.Siroky K, Jiresova J, Hudec L. Iron-Oxide Thin-Film Gas Sensor. Thin Solid Films. 1994;245:211–214. [Google Scholar]
- 3.Hermanek M, Zboril R, Medrik N, Pechousek J, Gregor C. Catalytic Efficiency of Iron(III) Oxides in Decomposition of Hydrogen Peroxide: Competition between the Surface Area and Crystallinity of Nanoparticles. J Am Chem Soc. 2007;129:10929–10936. doi: 10.1021/ja072918x. [DOI] [PubMed] [Google Scholar]
- 4.Carabineiro SAC, Bogdanchikova N, Tavares PB, Figueiredo JL. Nanostructured Iron Oxide Catalysts with Gold for the Oxidation of Carbon Monoxide. RSC Adv. 2012;2:2957–2965. [Google Scholar]
- 5.Abou Hassan A, Sandre O, Cabuil V, Tabeling P. Synthesis of Iron Oxide Nanoparticles in a Microfluidic Device: Preliminary Results in a Coaxial Flow Millichannel. Chem Commun. 2008:1783–1785. doi: 10.1039/b719550h. [DOI] [PubMed] [Google Scholar]
- 6.Klahr BM, Martinson AB, Hamann TW. Photoelectrochemical Investigation of Ultrathin Film Iron Oxide Solar Cells Prepared by Atomic Layer Deposition. Langmuir. 2010;27:461–468. doi: 10.1021/la103541n. [DOI] [PubMed] [Google Scholar]
- 7.Mohr R, Kratz K, Weigel T, Lucka-Gabor M, Moneke M, Lendlein A. Initiation of Shape-Memory Effect by Inductive Heating of Magnetic Nanoparticles in Thermoplastic Polymers. P Natl Acad Sci USA. 2006;103:3540–3545. doi: 10.1073/pnas.0600079103. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8.Miller EL, Paluselli D, Marsen B, Rocheleau RE. Low-Temperature Reactively Sputtered Iron Oxide for Thin Film Devices. Thin Solid Films. 2004;466:307–313. [Google Scholar]
- 9.Wang CM, Baer DR, Amonette JE, Engelhard MH, Antony J, Qiang Y. Morphology and Electronic Structure of the Oxide Shell on the Surface of Iron Nanoparticles. J Am Chem Soc. 2009;131:8824–8832. doi: 10.1021/ja900353f. [DOI] [PubMed] [Google Scholar]
- 10.Ding Y, Morber JR, Snyder RL, Wang ZL. Nanowire Structural Evolution from Fe3O4 to ε-Fe2O3. Adv Funct Mater. 2007;17:1172–1178. [Google Scholar]
- 11.Zboril R, Mashlan M, Petridis D. Iron(III) Oxides from Thermal Processes-Synthesis, Structural and Magnetic Properties, Mossbauer Spectroscopy Characterization, and Applications. Chem Mater. 2002;14:969–982. [Google Scholar]
- 12.Lin HY, Chen YW, Li CP. The Mechanism of Reduction of Iron Oxide by Hydrogen. Thermochim Acta. 2003;400:61–67. [Google Scholar]
- 13.Zielinski J, Zglinicka I, Znak L, Kaszkur Z. Reduction of Fe2O3 with Hydrogen. Appl Catal a-Gen. 2010;381:191–196. [Google Scholar]
- 14.Liu PJ, He SB, Wei HZ, Wang JH, Sun CL. Characterization of α-Fe2O3/γ-Al2O3 Catalysts for Catalytic Wet Peroxide Oxidation of M-Cresol. Ind Eng Chem Res. 2015;54:130–136. [Google Scholar]
- 15.Gomez-Sotomayor R, Ahualli S, Viota JL, Rudzka K, Delgado AV. Iron/Magnetite Nanoparticles as Magnetic Delivery Systems for Antitumor Drugs. J Nanosci Nanotechnol. 2015;15:3507–3514. doi: 10.1166/jnn.2015.9856. [DOI] [PubMed] [Google Scholar]
- 16.Yuan L, Cai RS, Jang JI, Zhu WH, Wang C, Wang YQ, Zhou GW. Morphological Transformation of Hematite Nanostructures During Oxidation of Iron. Nanoscale. 2013;5:7581–7588. doi: 10.1039/c3nr01669b. [DOI] [PubMed] [Google Scholar]
- 17.Yuan L, Jiang QK, Wang JB, Zhou GW. The Growth of Hematite Nanobelts and Nanowires-Tune the Shape Via Oxygen Gas Pressure. J Mater Res. 2012;27:1014–1021. [Google Scholar]
- 18.Yuan L, Wang YQ, Cai RS, Jiang QK, Wang JB, Li BQ, Sharma A, Zhou GW. The Origin of Hematite Nanowire Growth During the Thermal Oxidation of Iron. Mater Sci Eng B-Adv. 2012;177:327–336. [Google Scholar]
- 19.Yuan L, Wang YQ, Mema R, Zhou GW. Driving Force and Growth Mechanism for Spontaneous Oxide Nanowire Formation During the Thermal Oxidation of Metals. Acta Mater. 2011;59:2491–2500. [Google Scholar]
- 20.Kresse G, Hafner J. Ab Initio Molecular Dynamics for Liquid Metals. Phys Rev B. 1993;47:558–561. doi: 10.1103/physrevb.47.558. [DOI] [PubMed] [Google Scholar]
- 21.Kresse G, Furthmüller J. Efficient Iterative Schemes for Ab Initio Total-Energy Calculations Using a Plane-Wave Basis Set. Phys Rev B. 1996;54:11169–11186. doi: 10.1103/physrevb.54.11169. [DOI] [PubMed] [Google Scholar]
- 22.Perdew JP, Burke K, Ernzerhof M. Generalized Gradient Approximation Made Simple. Phys Rev Lett. 1996;77:3865–3868. doi: 10.1103/PhysRevLett.77.3865. [DOI] [PubMed] [Google Scholar]
- 23.Anisimov VI, Zaanen J, Andersen OK. Band Theory and Mott Insulators: Hubbard U Instead of Stoner I. Phys Rev B. 1991;44:943–954. doi: 10.1103/physrevb.44.943. [DOI] [PubMed] [Google Scholar]
- 24.Rollmann G, Rohrbach A, Entel P, Hafner J. First-Principles Calculation of the Structure and Magnetic Phases of Hematite. Phys Rev B. 2004;69:165107. [Google Scholar]
- 25.Souvi SMO, Badawi M, Paul J-F, Cristol S, Cantrel L. DFT Study of the Hematite Surface State in the Presence of H2, H2o and O2. Surf Sci. 2013;610:7–15. [Google Scholar]
- 26.Xiao J, Frauenheim T. Activation Mechanism of Carbon Monoxide on Α-Fe2O3 (0001) Surface Studied by Using First Principle Calculations. Appl Phys Lett. 2012;101:041603. [Google Scholar]
- 27.Aschauer U, Pfenninger R, Selbach SM, Grande T, Spaldin NA. Strain-Controlled Oxygen Vacancy Formation and Ordering in Camno3. Phys Rev B. 2013;88:054111. [Google Scholar]
- 28.Chen ZQ, Cvelbar U, Mozetic M, He JQ, Sunkara MK. Long-Range Ordering of Oxygen-Vacancy Planes in α-Fe2O3 Nanowires. Chem Mater. 2008;20:3224–3228. [Google Scholar]
- 29.Cvelbar U, Chen ZQ, Sunkara MK, Mozetic M. Spontaneous Growth of Superstructure α-Fe2O3 Nanowire and Nanobelt Arrays in Reactive Oxygen Plasma. Small. 2008;4:1610–1614. doi: 10.1002/smll.200800278. [DOI] [PubMed] [Google Scholar]
- 30.Nasibulin A, Rackauskas S, Jiang H, Tian Y, Mudimela P, Shandakov S, Nasibulina L, Jani S, Kauppinen E. Simple and Rapid Synthesis of α-Fe2O3 Nanowires under Ambient Conditions. Nano Res. 2009;2:373–379. [Google Scholar]
- 31.Lee YC, Chueh YL, Hsieh CH, Chang MT, Chou LJ, Wang ZL, Lan YW, Chen CD, Kurata H, Isoda S. P-Type α-Fe2O3 Nanowires and Their n-Type Transition in a Reductive Ambient. Small. 2007;3:1356–1361. doi: 10.1002/smll.200700004. [DOI] [PubMed] [Google Scholar]
- 32.Cai RS, Li T, Wang YQ, Wang C, Yuan L, Zhou GW. Formation of Modulated Structures in Single-Crystalline Hexagonal α-Fe2O3 Nanowires. J Nanopart Res. 2012;14:1–11. [Google Scholar]
- 33.Tang J, Myers M, Bosnick KA, Brus LE. Magnetite Fe3o4 Nanocrystals: Spectroscopic Observation of Aqueous Oxidation Kinetics. J Phys Chem B. 2003;107:7501–7506. [Google Scholar]
- 34.Zhu W, Winterstein JP, Sharma R, Zhou G. Atomic-Scale Characterization of the Reduction of a-Fe2o3 Nanowires. Microsc Microanal. 2015;21:995–996. [Google Scholar]
- 35.Schmid HK, Mader W. Oxidation States of Mn and Fe in Various Compound Oxide Systems. Micron. 2006;37:426–432. doi: 10.1016/j.micron.2005.12.004. [DOI] [PubMed] [Google Scholar]
- 36.Wang ZL, Yin JS, Jiang YD. Eels Analysis of Cation Valence States and Oxygen Vacancies in Magnetic Oxides. Micron. 2000;31:571–580. doi: 10.1016/s0968-4328(99)00139-0. [DOI] [PubMed] [Google Scholar]
- 37.Verbeeck J, Van Aert S. Model Based Quantification of Eels Spectra. Ultramicroscopy. 2004;101:207–224. doi: 10.1016/j.ultramic.2004.06.004. [DOI] [PubMed] [Google Scholar]
- 38.Tan H, Verbeeck J, Abakumov A, Van Tendeloo G. Oxidation State and Chemical Shift Investigation in Transition Metal Oxides by Eels. Ultramicroscopy. 2012;116:24–33. [Google Scholar]
- 39.Cavé L, Al T, Loomer D, Cogswell S, Weaver L. A Stem/Eels Method for Mapping Iron Valence Ratios in Oxide Minerals. Micron. 2006;37:301–309. doi: 10.1016/j.micron.2005.10.006. [DOI] [PubMed] [Google Scholar]
- 40.Cabot A, Puntes VF, Shevchenko E, Yin Y, Balcells L, Marcus MA, Hughes SM, Alivisatos AP. Vacancy Coalescence During Oxidation of Iron Nanoparticles. J Am Chem Soc. 2007;129:10358–10360. doi: 10.1021/ja072574a. [DOI] [PubMed] [Google Scholar]
- 41.Signorini L, Pasquini L, Savini L, Carboni R, Boscherini F, Bonetti E, Giglia A, Pedio M, Mahne N, Nannarone S. Size-Dependent Oxidation in Iron/Iron Oxide Core-Shell Nanoparticles. Physical Review B. 2003;68:195423. [Google Scholar]
- 42.Yuan L, Wang Y, Cai R, Jiang Q, Wang J, Li B, Sharma A, Zhou G. The Origin of Hematite Nanowire Growth During the Thermal Oxidation of Iron. Mater Sci Eng, B. 2012;177:327–336. [Google Scholar]
- 43.Yuan L, Jiang Q, Wang J, Zhou G. The Growth of Hematite Nanobelts and Nanowires—Tune the Shape Via Oxygen Gas Pressure. J Mater Res. 2012;27:1014–1021. [Google Scholar]
- 44.Levy D, Giustetto R, Hoser A. Structure of Magnetite (Fe3O4) above the Curie Temperature: A Cation Ordering Study. Phys Chem Miner. 2012;39:169–176. [Google Scholar]
- 45.Huang W, Ranke W, Schlögl R. Reduction of an Α-Fe2o3 (0001) Film Using Atomic Hydrogen. J Phys Chem C. 2007;111:2198–2204. [Google Scholar]
- 46.Nguyen M-T, Seriani N, Gebauer R. Water Adsorption and Dissociation on α-Fe2o3(0001): PBE + U Calculations. J Chem Phys. 2013;138:194709. doi: 10.1063/1.4804999. [DOI] [PubMed] [Google Scholar]
- 47.Wang XG, Weiss W, Shaikhutdinov SK, Ritter M, Petersen M, Wagner F, Schlögl R, Scheffler M. The Hematite α-Fe2O3(0001) Surface: Evidence for Domains of Distinct Chemistry. Phys Rev Lett. 1998;81:1038–1041. [Google Scholar]
- 48.Bergermayer W, Schweiger H, Wimmer E. Ab Initio Thermodynamics of Oxide Surfaces: O2 on Fe2O3(0001) Phys Rev B. 2004;69:195409. [Google Scholar]
- 49.Yuan L, Van Der Geest AG, Zhu W, Yin Q, Li L, Kolmogorov AN, Zhou G. Reduction of Cuo Nanowires Confined by a Nano Test Tube. RSC Adv. 2014;4:30259–30266. [Google Scholar]