research papers
Site occupancy of Fe2+, Fe3+ and Ti4+ in titanomagnetite determined by valence-difference contrast in synchrotron X-ray resonant scattering
aInstitute for Material Research, Tohoku University, Sendai 980-8577, Japan, bTohoku University Museum, Tohoku University, Sendai 980-8578, Japan, cDepartment of Geology and Paleontology, National Museum of Nature and Science, Tsukuba 305-0005, Japan, dGraduate School of Science and Technology, Kumamoto University, Kumamoto 860-8555, Japan, eMaterials and Structures Laboratory, Tokyo Institute of Technology, Yokohama 226-8503, Japan, and fInstitute of Materials Structure Science, High Energy Accelerator Research Organization, Tsukuba 305-0801, Japan
*Correspondence e-mail: makisan@imr.tohoku.ac.jp, sasaki@materia.titech.ac.jp
A synchrotron X-ray diffraction study of a single crystal of titanomagnetite shows that the cation distribution of Fe2+, Fe3+ and Ti4+ is of the inverse-spinel type. The valence-difference contrast (VDC) method of was applied at a wavelength of λ = 1.7441 Å (E = 7.1085 keV) within the pre-edge of the Fe K utilizing the large difference in the real part of factors, between −7.45 and −6.50, for Fe2+ and Fe3+, respectively. The most plausible atomic arrangement in Ti0.31Fe2.69O4 obtained from our analysis is [Fe3+1.00]A[Fe3+0.38Fe2+1.31Ti4+0.31]BO4, where A and B in an AB2O4-type structure correspond to the tetrahedral and octahedral sites, respectively. This result suggests that titanomagnetite has the complete inverse-spinel structure continuously from the end-member of magnetite, even in the case of relatively high Ti content. The physical properties may be described by the Néel model, which claims that Fe3+ preferentially occupies the tetrahedral site, within a Ti-poor half-region of the Based on the ordering scheme the magnetic structure of titanomagnetite is considered to be analogous to that of magnetite. The combination of circularly polarized X-rays and a horizontal-type four-circle diffractometer used in this VDC technique has the advantage of increasing the experimental accuracy and freedom with the simultaneous reduction of experimental noise.
Keywords: resonant scattering; anomalous scattering; valence-difference contrast; titanomagnetite; single-crystal X-ray diffraction; Fe K absorption edge.
1. Introduction
Knowledge of the valence of cations in crystalline solids is important because it helps to understand the relationship between
and physical properties in materials science, chemistry and mineralogy. In terms of crystal-structure analysis in the high-resolution base, the use of synchrotron X-rays is of great advantage to achieve high accuracy of measurements and to collect more information on Bragg reflections. The continuous spectrum of synchrotron radiation is essential in selecting the wavelengths needed for the valence analysis. The combination of spectroscopy and X-ray diffraction creates plenty of room for the development of experimental approaches to improve accuracy in synchrotron radiation research. In this study, the synchrotron X-ray data have been analyzed to examine the valence of Fe ions in titanomagnetite and also to aim to improve the experimental and analytical accuracy.The majority of magnetic minerals present on the Earth are iron-containing compounds. Knowledge of the magnetic properties and magnetic crystal structures of such minerals is important, particularly for paleomagnetism studies, as magnetic minerals can be used as a tracer for the past magnetic fields of the Earth. Titanomagnetite TixFe3–xO4 is one of the major magnetic sources in rock-forming minerals. Titanomagnetite is a member of the cubic spinel family (Nishikawa, 1915; Bragg, 1915). The can be described as cubic close packing of oxygen atoms with two cation sites known as the tetrahedral A (8a ) and octahedral B sites (16d, ) (Fig. 1). In titanomagnetite, the replacement of Fe3+ by Ti4+ yields an increase in Fe2+ to maintain charge neutrality, and the partition of cations between the A or B sites needs to be fully understood, because an increase in Fe2+ in the tetrahedral A site gives rise to magnetostriction and a high coercive force, affecting the paleomagnetic properties of the Earth. The magnetic and electronic properties depend strongly on the cation distribution between these sites. Two extreme structures have been defined: the normal spinel, [Y]A[ZZ]BO4, as represented by Mn–Zn ferrite (Okita et al., 1998), and the inverse spinel, [Z]A[YZ]BO4, as represented by Ni ferrite (Tsukimura et al., 1997). Titanomagnetite is a lying between magnetite (Fe3O4) and ulvöspinel (TiFe2O4). The purpose of this study was to determine the cation distribution in the intermediate compounds and to resolve some of the ambiguities in the discussion of the physical properties of titanomagnetite, such as its magnetic saturation moment.
Magnetite is one of the end-member compositions that have the inverse spinel structure of [Fe3+]A[Fe2+Fe3+]BO4, where one-half of Fe3+ per formula unit occupies the tetrahedral site while Fe2+ and the remaining half of Fe3+ occupy the octahedral site in a 1:1 ratio (Verwey & de Boer, 1936). Various physical properties of magnetite, such as metallic behavior and magnetization, depend on the cation distribution of Fe2+ and Fe3+ between these two sites. The high electronic conductivity at room temperature is related to electron hopping due to an averaged distribution of Fe2+ and Fe3+ in the crystallographically identical B site. High-spin Fe cations in this inverse-spinel arrangement are distributed with antiparallel spin between the A and B sites. Fe2+ and Fe3+ have magnetic moments of 4μB and 5μB, respectively. The arrangement having Fe3+ at the A site and a pair of Fe2+ and Fe3+ coupled antiparallel at the B site gives a net 4μB magnetization per formula unit. At lower temperatures the conductivity decreases with magnetic anisotropy, and at the temperature (TV ≃ 123 K) a metal–insulator transition occurs with charge ordering with partial charge in a lower symmetry (Verwey & Haayman, 1941; Verwey et al., 1947; Samuelsen et al., 1968; Yamada et al., 1968; Iizumi et al., 1982; Toyoda et al., 1999). The other end-member is ulvöspinel, which has an inverse-spinel structure identical to [Fe2+]A[Fe2+Ti4+]BO4 (Barth & Posnjak, 1932). Magnetization measurements suggest spontaneous magnetization below the Néel temperature (TN ≃ 140 K), with a maximum magnetization of 0.36μB per formula unit and a small distortion below T ≃ 100 K (Ishikawa, 1967). The temperature dependence of the Mössbauer spectra suggests that two subsets of the spin align antiparallel between Fe2+ ions in the A and B sites (Ôno et al., 1968). The site preference in titanomagnetite is still in dispute because of the difficulty in distinguishing between Fe2+ and Fe3+ in the three-component system, including Ti4+, in crystal-structure analyses. Accurate determination of the site occupancy has depended on the accuracy of data collection using the effect at the Fe K with synchrotron radiation X-rays. The other limiting factor is the existence of a miscibility gap (solvus) in the middle part of titanomagnetite solid solutions, with an intergrowth texture of magnetite-rich crystals and ulvöspinel-rich exsolution lamellae (Lilova et al., 2012).
The site preference of Ti4+ in titanomagnetite can be investigated using conventional crystal-structure determination methods such as X-ray or neutron diffraction, and it has been concluded that Ti4+ exclusively occupies the octahedral B site (Blasse, 1964; Forster & Hall, 1965; Fujino, 1974; Wechsler et al., 1984). Before the introduction of the technique, the estimation of the site occupancy between Fe2+ and Fe3+ was based on information from measurements of magnetic saturation moments. The cation distribution has therefore remained enigmatic because the presence of impurity phases leads to an uncertain relationship between magnetism and cation distribution. Three models have been proposed for titanomagnetite. One is a simple substitution model in which Fe3+ is concentrated equally between the A and B sites, and one Fe2+ per formula unit constantly occupies the B site (Akimoto model; Akimoto, 1954); the statistically random distribution may lead to higher configurational at higher temperatures. The second model is based on a site preference in which Fe3+ exclusively occupies the tetrahedral site for x ≤ 0.5, while Fe2+ always prefers octahedral coordination (Néel model; Néel, 1955; Chevallier et al., 1955). This model produces a discontinuity at x = 0.5 for the chemical trend in saturation magnetization. According to the third model, additional Fe2+ ions enter tetrahedral sites in the range 0.2 ≤ x ≤ 0.8 (O'Reilly–Banerjee model; O'Reilly & Banerjee, 1965); in this model, the saturation magnetization is higher than in the Néel model, but lower than in the Akimoto model. The saturation moments of synthetic titanomagnetite samples fall in the intermediate position between the two models (Akimoto et al., 1957). In addition, some complex models for cation distribution have been proposed to provide estimates of the cation distribution based on magnetic properties or spectroscopic measurements (Kakol et al., 1991; Hamdeh et al., 1999; Bosi et al., 2009). An approach from X-ray (XMCD) has been reported for measurements of titanomagnetite at the Fe L2,3-edge. These are element specific but are based on a powder-sample technique, so any discussion of the interpretation of the origin of the spectra can be only qualitative (Pearce et al., 2010). Analysis of saturation magnetization data yields the further difficulty that the cation distribution is temperature dependent in the titanomagnetite series (Stephenson, 1969; Bleil, 1971, 1976), which is common in some spinel ferrites such as Mn ferrite (Ohara et al., 2000) and Mn–Zn ferrite (Sakurai et al., 2008).
The most suitable method for determining the cation distribution between Fe2+ and Fe3+ is (or anomalous scattering) with strong valence contrast. Larger differences in the f lead to greater differences in X-ray scattering power. A larger difference between f(Fe2+) and f(Fe3+) contributes to the factor, providing high accuracy in determining the cation distribution with small experimental error. The first synchrotron radiation experiment for site-occupancy determination was conducted in a study of (Co,Fe)3O4, where this method has sufficient scattering power to distinguish adjacent elements in the periodic table such as Co and Fe (Yakel, 1980). Even if the same target atom has a different valence or the treatment of discrimination in f is the same for different factors. The valence difference of ions appears in chemical shifts of X-ray The difference appears in factors since the is closely related to resonant absorption phenomena. The factors can be calculated from absorption spectra by applying the dispersion relation described by Kramers and Krönig (e.g. Screaton, 1960). In the vicinity of X-ray absorption thresholds, the X-ray factors are sufficient to distinguish the of ions. The use of differences in factors for ions with different valence has been proposed as a valence-difference contrast (VDC) method (Wilkinson & Cheetham, 1992; Sasaki, 1995; Sasaki et al., 1998). Associated with a of several eV at wavelengths close to the Fe K the VDC method can detect the anisotropic intensity distribution of X-ray diffuse scattering related to the valence fluctuation of Fe ions in magnetite (Toyoda et al., 1997). Similar attempts to use the VDC method have been reported for Eu3S4 (Ohara et al., 2004) and Yb4As3 (Nakao et al., 2006). Some applications of the resonant diffraction studies have been reported on valence and charge ordering with similar crystal structures (e.g. Grenier et al., 2002; Palancher et al., 2005; Beale et al., 2012; Subías et al., 2012; Okube & Sasaki, 2014).
Thus, analysis of the site occupancy of titanomagnetite is now feasible with sufficient accuracy using X-ray 2+ and Fe3+ were simultaneously determined for the A and B sites of the spinel structure using the VDC method of single-crystal X-ray diffraction at the Fe K pre-edge.
In this study, the site occupancies of Ti, Fe2. Experimental
The sample was a single crystal of natural titanomagnetite from the Kabasawa Mine, Miyagi Prefecture, Japan, which was provided by the National Museum of Nature and Science (sample number 19373). Chemical analyses using an electron probe microanalyzer showed that the titanomagnetite had the chemical formula Ti0.31Fe2.69O4. The and cell dimensions were and a = 8.414 (2) Å, respectively, determined using a conventional AFC-7 Rigaku four-circle diffractometer with Mo Kα radiation.
Synchrotron experiments were performed at beamline BL-6C of the Photon Factory with a wavelength of λ = 1.7441 Å (E = 7.1085 keV) at the Fe K pre-edge selected using an Si(111) double-crystal monochromator. Integrated intensity measurements were conducted with a Rigaku AFC-5u four-circle diffractometer, which is ordinarily and regularly installed in the BL-6C experimental hutch. Since the diffractometer is equipped with a scanning in the horizontal direction, right-handed circular polarization (helicity = +1) was used so that an incident intensity does not affect the intensive reduction of intensity like the linear polarization effect. Then, the polarization factor P for circular polarization is given by (1 + cos22θ)/2, which is similar to the case of an unpolarized X-ray beam. The incident beam was guided into a synthetic (001) diamond with a thickness of 0.492 mm acting as a phase retarder to produce circularly polarized X-rays. The diamond crystal was set near the 111 Bragg condition in the asymmetric Laue case, with the inclined by 45° from the vertical plane (Hirano et al., 1991).
A single crystal of 50 µm × 50 µm × 70 µm was mounted onto a glass fiber for the X-ray diffraction study. Integrated intensity data were collected in the ω–2θ scan mode of the AFC-5u, with the ω-scan speed and width set at 0.5° min−1 and 0.8°, respectively, selecting within the ranges 2θ ≤ 130° (sinθ/λ ≤ 0.520), and −8 ≤ h ≤ 8, −8 ≤ k ≤ 8 and −8 ≤ l ≤ 8. As the top-up mode was not available for our experiments at the Photon Factory storage ring, the intensity data for each reflection were corrected using three standard reflections of , and to compensate for incident beam intensity decay. Lorentz and absorption effects were corrected using a of μ = 369.5 cm−1 (λ = 1.7441 Å). The transmission factors ranged from 0.17 to 0.25. Of 687 reflections measured (Rint = 0.04), 432 reflections > 3σF were used for refinements after cubic averaging. The was refined by full-matrix least-squares minimization of the residual factor, Σwi(|Fobs| − |Fcalc|)i2, using the program RADY (Sasaki, 1987), which allows occupancy refinements to vary parameters under constraints in chemical composition. An isotropic extinction correction was applied to express the observed intensity by the kinematical diffraction theory (Becker & Coppens, 1974). The positional parameter of oxygen and anisotropic temperature factors for all atoms were simultaneously refined with R = 0.051, wR = 0.049 (w = 1/σF2) for the Fe K data set. The u parameter was determined to be 0.2539 (11). Thermal parameters β11, β12 and Beq were 0.0023 (4), 0 and 0.66 (3) for the A site, 0.0022 (5), −0.0001 (3) and 0.61 (5) for the B site and 0.0012 (6), −0.0001 (5) and 0.35 (6) for the oxygen site, respectively, where Beq is an equivalent isotropic temperature factor and the standard deviation is given for the last digit in parentheses. The maximum ratio between the change and error parameters, Δ/σ, was 0.56 × 10−5 for the atomic coordinate x of the oxygen atoms.
The absorption measurements were conducted at BL-6C with a beam of dimensions 1 mm × 2 mm and two ionization chambers with N2 (monitor) and 85% N2 + 15% Ar gas. The thickness of the samples was adjusted for suitable absorption. Powder samples of FeO, Fe2O3 and magnetite (High Purity Chemical Laboratory Co. Ltd) were used as received for the absorption measurements. Energy calibration on the Fe K-edge was conducted for iron metal foil of 5 µm thickness with the inflection point of the shoulder structure in the which is assigned as E = 7.1120 keV. The conversion from X-ray energy in keV to wavelength in Å was conducted using a factor of 12.398 (Thompson et al., 2001). All experiments were made at room temperature.
3. Absorption spectra and chemical shift
To conduct a preliminarily examination of the valence state of Fe ions in titanomagnetite, X-ray absorption near-edge structure (XANES) spectra were measured at the Fe K absorption edges at room temperature. Fig. 2 shows the XANES spectra of titanomagnetite, iron metal foil, FeO (NaCl structure), Fe3O4 (spinel structure) and Fe2O3 (corundum structure). A of about 6.1 eV clearly exists between Fe2+ in FeO and Fe3+ in Fe2O3 over a threshold region, where the Fe ions in FeO and Fe2O3 have sixfold coordination with oxygen atoms in a regular FeO6 octahedron. The was about 1 eV larger than in our previous report (Sasaki, 1995). It seems that the powder sample used for that earlier study was slightly oxidized [e.g. Fig. 1 of Sasaki (1995), Fig. 3 of Sakurai et al. (2008)]. The photon energies at specific XANES positions and the values of chemical shifts are summarized for some iron compounds in Table 1. Compared with the 50% absorption data from XANES spectra, the of titanomagnetite falls between the divalent and trivalent states, 2.4 eV higher than that of FeO, 3.7 eV lower than that of Fe2O3, and 2.6 eV lower than that of magnetite Fe3O4. This indicates that both Fe2+ and Fe3+ exist in titanomagnetite and that the Fe2+ content of titanomagnetite is greater than that of magnetite. The pre-edge peaks of FeO, titanomagnetite, Fe3O4 and Fe2O3 are arranged with chemical shifts of, in ascending order of energy, 3.8, 6.7, 8.1 and 9.4 eV, respectively. The peak tops of the main-edge spectra exhibit deviations of −2.8, −0.1, 0.3 and 2.4 eV from that of iron metal foil, respectively.
|
4. Valence-contrast approach
The first step in determining the valence distribution of Fe2+ and Fe3+ is to estimate experimentally based atomic scattering factors for valence ions for crystal-structure analyses (VDC method) (Sasaki, 1995). In kinematical diffraction theory, the X-ray Bragg intensity Ihkl for the hkl reflection is proportional to the square of the crystal-structure factor Fhkl:
where the summation j is over all atoms in a and f, (x,y,z) and W are the fractional coordinates and Debye–Waller factor, respectively. The effect of becomes dominant at photon energy E of the Then, the is redefined as
where f0(s), and are the Thomson term and the real and imaginary parts of the factor, respectively, and s = sinθ/λ with θ and wavelength λ. The factor was selected here to increase the difference between two types of cation in different valence states. The term is related to the μ(E) through the optical theorem as (s = 0),
Using the Kramers–Krönig transform, is given from the dispersion relations as
where the integration is from zero to infinity, and P indicates the principal value of the integral at the singularity in the algorithms of the DIFFKK program (Cross et al., 1998) used in this study. According to equations (4) and (5), can be determined from observed values of μ(E) and connected to in the Kramers–Krönig dispersion relation. According to the crystal field theory, the difference of electron stabilization energies between octahedral and tetrahedral sites is small, having values of 0 and 0.07 eV mol−1 for Fe3+ and Fe2+, respectively (McClure, 1957). Therefore, if the valence of ions is the same regardless of the different surroundings, the same factors can be applied for the VDC method on the octahedral and tetrahedral coordination. There is also a report that the shift of the is similar for both tetrahedral and octahedral Fe atoms in magnetite, based on the factors extracted from experimental diffraction spectra of the 220 and 222 reflections [see Fig. 10 by Subías et al. (2012)].
The experimentally based values were obtained from equation (5) using the DIFFKK program (Cross et al., 1998), where was estimated from the free atom calculations far from resonance (Cromer & Liberman, 1970), and the values in the reported table were used for unobserved μ(E) data away from the edge (Sasaki, 1990). In order to simplify the discussion, it is assumed that oxygen is divalent. Fig. 3 shows curves for Fe2+ and Fe3+, obtained from the FeO and Fe2O3 absorption data, respectively, where a sharp negative peak in each curve exists with the It should be noted that the difference due to a becomes dominant in the vicinity of the lower-energy side of the The X-ray energy in the region is also suitable for diffraction experiments based on weak absorption (Sasaki, 1995). In this study a typical wavelength of λ = 1.7441 Å (E = 7.1085 keV) was selected for the VDC analyses, where the values are −7.45 and −6.50 for Fe2+ and Fe3+, respectively. A large difference of 0.95 in promises successful structure analyses that can distinguish Fe2+ and Fe3+. The value of for Fe3+ of −6.206 at E = 7.1082 keV was obtained from nickel ferrite NiFe2O4 of the same spinel structure (Okube et al., 2012), and it is sufficiently close to the value for Fe2O3 to be reasonable. Total atomic scattering factors f(s,E) for Fe2+, Fe3+ and Ti4+ are shown in Fig. 4, where the large differences between the three cations ensure distinguishability.
Charge neutrality in a 4+, and A and B sites assumed to be fully occupied by atoms. In the refinements, the occupancy parameters of Fe2+ and Ti4+ in the tetrahedral A site were varied, while the other parameters were constrained for Fe3+ on the A sites and all ions on the B site. The Ti4+ content of the A sites was used as an input parameter that was changed in each site-occupancy step. Fig. 5 shows the variation in the residual factor for different Ti4+ and Fe3+ contents. The A site is fully occupied by Fe3+, and the titanomagnetite presents as [Fe3+1.00]A[Fe3+0.38Fe2+1.31Ti4+0.31]B with a chemical formula of Ti0.31Fe2.69O4, where A and B are the tetrahedral A and octahedral B sites, respectively. In order to check the reliability concerning the convergence of refinements in Fig. 5, further was carried out to remove the constraint on chemical composition. Then, a multiplicity parameter of Fe2+ in the A site converged to be −0.01 (8), suggesting that a minimum of the residual factors locates in close proximity at the left-hand side of Fig. 5 and supporting the full occupation of Fe3+ in the A site. The cation distribution investigated so far is consistent with the Néel model in that Fe3+ completely fills the tetrahedral site and the remaining cations occupy the octahedral site (Néel, 1955; Chevallier et al., 1955). Fe3+ replacement by Ti4+ yields a proportional increase in Fe2+ within the octahedral B site and is maintained to within at least one-third in the Ti-poor of titanomagnetite.
was assumed during the site-occupancy refinements, with all titanium ions defined as Ti5. Cation distribution and magnetic aspect
The composition of x = 0.31 in the TixFe3–xO4 corresponds to one end of a miscibility gap in the phase diagram between Fe3O4 and TiFe2O4. It may affect the magnetic aspect of titanomagnetite and magnetic measurements. According to the of mixing and thermodynamics of the the solvus was suggested to be at or higher than a temperature of T = 530 K, although this temperature is variable depending on the initial composition and exsolution [Fig. 6 of Lilova et al. (2012)]. The maximum x value previously reported is 0.42, giving a of 873 K (Kawai, 1956).
The distribution of Fe2+ and Fe3+ between the A and B sites can be calculated based on the observed saturation moments of 4.06μB and 5μB for Fe2+ and Fe3+, respectively (e.g. Kakol et al., 1991). However, because of the above assumption, the accuracy of the Fe2+ and Fe3+ distribution is limited by the sample quality of the magnetic and chemical measurements. In discussions to improve the accuracy, a magnetization ratio normalized with the value for Fe3O4 was introduced to compare magnetic moments with the chemical composition. Fig. 6 shows the magnetization ratio versus Ti content, where the observed data [GG: Gilder & Le Goff (2008); KSH: Kakol et al. (1991); WLP: Wechsler et al. (1984)] are plotted together with the calculation ratio of [Fe3+1.00]A[Fe3+1–2xFe2+1+xTix4+]BO4 (x = 0.31). The magnetization ratio estimated from the site occupancy obtained in this study is close to that reported by Gilder & Le Goff (2008), which is a high-temperature product produced by the floating-zone method, with reorientation of the domain walls conducted with anhysteretic remnant magnetization.
According to previous studies (Blasse, 1964; Forster & Hall, 1965; Fujino, 1974), titanium as Ti4+ exclusively occupies the octahedral sites of titanomagnetite. As to the distribution of Fe2+ and Fe3+ between the A and B sites, three different models exist, as mentioned in the Introduction. Magnetic moments calculated using these models are plotted in Fig. 6 using dotted, solid and two dot chain lines, respectively. The experimental values are also shown using solid squares (GG), open circles (KSH) and triangles (WLP), where GG is close to the Néel model, while KSH and WLP have a linear relation close to but of different slope from the O'Reilly–Banerjee model. A theoretical treatment of cation distribution for the Néel model is based on the concept that Fe3+ prefers the tetrahedral A site in thermal activation energy, where the equilibrium as a function of temperature is in agreement with the compositional variation of the and differs from the results for single crystals (Stephenson, 1969). Analysis of the saturation magnetization data suggests that the cation distribution in the titanomagnetite series is temperature dependent (Bleil, 1976). Specifically, for higher crystal growth temperatures, the becomes closer to either the Akimoto or O'Reilly–Banerjee model. The KSH and WLP data in Fig. 6 are acceptable on a straight line of the O'Reilly–Banerjee model because the temperature of crystal formation was 1373 K or more.
In contrast, the cation distribution obtained in this study is in line with the Néel model, providing the conclusion that the crystal-formation temperature is rather low in comparison with the KSH and WLP data. Perfect occupation of Fe3+ in a single A site might have taken place due to natural slow cooling and geological time. However, it is uncertain whether the sample has reached its most ordered state without further knowledge of the The confusion among the previous studies on titanomagnetite may be due to the different thermal history. It is considered from this study that the ordering scheme of titanomagnetite is analogous to that of magnetite, having a similar trend to the temperature dependence of magnetocrystalline anisotropy by torque measurements (Syono & Ishikawa, 1963). As a possibility other than the thermal history, the relatively low magnetic moments previously observed could be also related to domains and domain walls caused by the discrepancy with Ti-doping which are formed to align neighboring regions magnetized antiparallel to one another, where the magnitude of the magnetic moments can change gradually to depend on the orientation of the neighboring moments in a realistic crystal. In addition, the covalent contribution to the chemical bonding makes the magnetic moments lower than those expected for ideal Fe2+ and Fe3+. An increase in the tetrahedral Fe2+ content leads to a high coercive force with enhanced magnetostriction. Given that the intermediate composition has characteristic broad spectra both in X-ray diffraction and Mössbauer spectroscopy, local environments due to the random arrangements are suggested for Fe2+ and Ti4+ in the B site (Banerjee et al., 1967). One study has reported that net moments derived from neutron powder diffraction are 5–10% lower than saturation magnetizations as determined from magnetometer measurements (Wechsler et al., 1984).
6. Diffractometry near absorption edges
In the case of protein crystals with a relatively low content of
elements, the influences of absorbed or fluorescent X-rays are not a serious problem even in diffraction experiments in the vicinity of the On the other hand, in the case of inorganic or metallic crystals, where the proportion of transition-metal element may be up to several tens of percent, the fluorescent X-ray background intensity and air scattering cannot be ignored. Generally, the use of a two-dimensional detector makes it difficult to handle the effect by fluorescent and air-scattered X-rays because of the technical limitation to set slits in front of the detector. Therefore, the use of a four-circle diffractometer is re-recognized here by combining circularly polarized X-rays and a with receiving slits.Since conventional synchrotron radiation is linearly polarized in the horizontal plane, the detector axis 2θ of the diffractometer is generally vertical. However, when the circular polarization is introduced by the phase retarder described in §2, a sufficient incident intensity can be obtained in horizontal-type diffractometry on the polarization effect. This implies the possibility of using a commercial four-circle diffractometer for synchrotron radiation research, having a horizontal 2θ axis and a polarization factor equal to that of unpolarized beam. The transmittance of the diamond crystal as phase retarder is about 40% near the Fe K-edge [Fig. 3(b) of Matsumoto et al. (2000)].
Since the use of receiving slits has the advantage of reducing experimental noise, a Rigaku AFC-5R four-circle diffractometer, with a χ circle of diameter 190 mm and a sample to receiving slit distance of 258 mm, was installed on beamline BL-6C, where circularly polarized X-rays are available (Fig. 7). The small circle guarantees high precision in intersection accuracy of four circles, even though the latest single-crystal diffractometer no longer requires such accuracy due to the development of two-dimensional detectors. The AFC-5R diffractometer can be controlled sufficiently even now by the original software for determining and refining the orientation matrix and the data collection procedure. A set of receiving slits consists of both vertical and horizontal apertures in front of the Even when a larger pair of slits is used as the maximum aperture of 1° (4.5 mm × 4.5 mm) without analyzer, the background intensity was suppressed to around 10 counts s−1 in the experiment with titanomagnetite (Table 2). This is within a level that the of titanomagnetite can be analyzed sufficiently and accurately even when the intensity measurement was performed in the presence of the fluorescence of Ti atoms. The consistent results on the site occupancy obtained from the VDC method strongly support the advantage of using the four-circle diffractometer. Thus, it can be concluded that our diffraction experiment at the provides sufficient accuracy even in the air rather than in a vacuum.
|
The diffractometer was originally designed and installed for experiments of resonant X-ray magnetic scattering (Kaneko et al., 2010; Sasaki et al., 2017). Since the phase retarder needs parallel beam and the focusing mirror pre-installed on beamline BL-6C is located in front of the retarder, a special mirror of a graded parabolic W/Si multilayer (length = 40 mm, period of multilayer = 32.90 ≃ 40.29 Å, parabolic parameter = 0.11838, focal length = 100 mm, reflectivity ≃ 65%) can be optionally placed at a distance of 155 mm in front of the center of the diffractometer (Sasaki et al., 2013).
7. Conclusion
A VDC study with synchrotron X-ray diffraction confirmed that Fe3+ in natural titanomagnetite prefers the tetrahedral A site in the AB2O4 structure, while all of Fe2+ and Ti4+ occupy the octahedral B site. The site occupancy can be schematically written as [Fe3+1.00]A[Fe3+0.38Fe2+1.31Ti4+0.31]B. It was found that the cation distribution coincides with the Néel model, providing the conclusion that the crystal formed at a rather low temperature and the magnetic structure can be discussed based on that of magnetite. It was found from a comparison with synthetic samples of the similar composition that the crystal-formation temperature of the natural titanomagnetite is lower than the synthesis temperature in the published studies and exhibits perfect ordering of the cation distribution.
It was shown by application of the VDC techniques that the following features can be realized in the diffraction experiments near the absorption edges. (1) Chemical shifts of XANES spectra are useful to determine the valence of Fe ions among different iron oxides. (2) Experimental values of DIFFKK software (Cross et al., 1998). (3) The circular polarization introduced by the phase retarder increases freedom in diffractometry. (4) Since a small and compact four-circle diffractometer has good crossing accuracy, the combination of circularly polarized X-rays and horizontal-type diffractometer has the advantage of increasing the experimental accuracy. (5) The use of receiving slits in front of the of the four-circle diffractometer can reduce experimental noise, which appears due to the fluorescence and air scattering of X-rays.
factors can be successfully converted from the absorption data by using theAcknowledgements
The authors are grateful to Professor H. Kawata and Mr H. Ohta of the Photon Factory and to Dr H Arima of Tohoku University for their support in our experiments. This study was performed at BL-6C and partly BL-10A under the auspices of the Photon Factory (PAC Nos. 2016G097 and 2016G011).
Funding information
The following funding is acknowledged: JSPS KAKENHI (grant No. 15H03747).
References
Akimoto, S. (1954). J. Geomagn. Geoelec. 6, 1–14. CrossRef Google Scholar
Akimoto, S., Katsura, T. & Yoshida, M. J. (1957). J. Geomagn. Geoelec. 9, 165–178. CrossRef Google Scholar
Banerjee, S. K., O'Reilly, W., Gibb, T. C. & Greenwood, N. N. (1967). J. Phys. Chem. Solids, 28, 1323–1335. CrossRef Web of Science Google Scholar
Barth, T. F. & Posnjak, E. (1932). Z. Kristallogr. 482, 325–341. Google Scholar
Beale, T. A. W., Beutier, G., Bland, S. R., Bombardi, A., Bouchenoire, O., Bunău, O., Di Matteo, S., Fernández-Rodríguez, J., Hamann-Borrero, J. E., Herrero-Martín, J., Jacques, V. L. R., Johnson, R. D., Juhin, A., Matsumura, T., Mazzoli, C., Mulders, A. M., Nakao, H., Okamoto, J., Partzsch, S., Princep, A. J., Scagnoli, V., Strempfer, J., Vecchini, C., Wakabayashi, Y., Walker, H. C., Wermeille, D. & Yamasaki, Y. (2012). Eur. Phys. J. Spec. Top. 208, 89–98. Web of Science CrossRef Google Scholar
Becker, P. J. & Coppens, P. (1974). Acta Cryst. A30, 129–147. CrossRef IUCr Journals Web of Science Google Scholar
Blasse, G. (1964). Philips Res. Rep. Suppl. 3, 1–139. Google Scholar
Bleil, U. (1971). Z. Geophys. 37, 305–319. Google Scholar
Bleil, U. (1976). Pure Appl. Geophys. 114, 165–175. CrossRef Web of Science Google Scholar
Bosi, F., Hålenius, U. & Skogby, H. (2009). Am. Mineral. 94, 181–189. Web of Science CrossRef Google Scholar
Bragg, W. H. (1915). Philos. Mag. 30, 305–315. CrossRef CAS Google Scholar
Chevallier, R., Bolfa, J. & Mathieu, S. (1955). Bull. Soc. Fr. Miner. Cristallogr. 78, 307–346. Google Scholar
Cromer, D. T. & Liberman, D. (1970). J. Chem. Phys. 53, 1891–1898. CrossRef CAS Web of Science Google Scholar
Cross, J. O., Newville, M., Rehr, J. J., Sorensen, L. B., Bouldin, C. E., Watson, G., Gouder, T., Lander, G. H. & Bell, M. I. (1998). Phys. Rev. B, 58, 11215–11225. Web of Science CrossRef CAS Google Scholar
Forster, R. H. & Hall, E. O. (1965). Acta Cryst. 18, 857–862. CrossRef IUCr Journals Web of Science Google Scholar
Fujino, K. (1974). Miner. J. 7, 472–488. CrossRef Google Scholar
Gilder, S. A. & Le Goff, M. (2008). Geophys. Res. Lett. 35, L10302. Web of Science CrossRef Google Scholar
Grenier, S., Toader, A., Lorenzo, J. E., Joly, Y., Grenier, B., Ravy, S., Regnault, L. P., Renevier, H., Henry, J. Y., Jegoudez, J. & Revcolevschi, A. (2002). Phys. Rev. B, 65, 180101. Web of Science CrossRef Google Scholar
Hamdeh, H. H., Barghout, K., Ho, J. C., Shand, P. M. & Miller, L. L. (1999). J. Magn. Magn. Mater. 191, 72–78. Web of Science CrossRef Google Scholar
Hirano, H., Izumi, K., Ishikawa, T., Annaka, S. & Kikuta, S. (1991). Jpn. J. Appl. Phys. 30, L407–L410. CrossRef CAS Web of Science Google Scholar
Iizumi, M., Koetzle, T. F., Shirane, G., Chikazumi, S., Matsui, M. & Todo, S. (1982). Acta Cryst. B38, 2121–2133. CrossRef CAS Web of Science IUCr Journals Google Scholar
Ishikawa, Y. (1967). Phys. Lett. A, 24, 725–727. CrossRef Web of Science Google Scholar
Óakol, Z., Sabol, J. & Honig, J. M. (1991). Phys. Rev. B, 43, 649–654. Google Scholar
Kaneko, Y., Okube, M., Sasaki, S., Garrett, R., Gentle, I., Nugent, K. & Wilkins, S. (2010). AIP Conf. Proc. 1234, 883–886. CrossRef CAS Google Scholar
Kawai, N. (1956). Proc. Jpn Acad. 32, 46–68. Google Scholar
Lilova, K. I., Pearce, C. I., Gorski, C., Rosso, K. M. & Navrotsky, A. (2012). Am. Mineral. 97, 1330–1338. Web of Science CrossRef Google Scholar
McClure, D. S. (1957). J. Phys. Chem. Solids, 3, 311–317. CrossRef CAS Web of Science Google Scholar
Matsumoto, K., Saito, F., Toyoda, T., Ohkubo, K., Yamawaki, K., Mori, T., Hirano, K., Tanaka, M. & Sasaki, S. (2000). Jpn. J. Appl. Phys. 39, 6089–6093. Web of Science CrossRef CAS Google Scholar
Nakao, H., Kiyoto, K., Kodama, S., Bizen, D., Matsumura, T., Iwasa, K., Murakami, Y. & Ochiai, A. (2006). AIP Conf. Proc. 850, 1175–1176. CrossRef Google Scholar
Néel, L. (1955). Adv. Phys. 4, 191–243. Google Scholar
Nishikawa, S. (1915). Proc. Tokyo Math. Phys. Soc. 8, 199–209. CAS Google Scholar
Ohara, H., Mizobuchi, T., Matsumoto, K. & Sasaki, S. (2000). Proceedings of the Eighth International Conference on Ferrites (ICF-8), 18–21 September 2000, Kyoto, Japan, pp. 223–225. Google Scholar
Ohara, H., Sasaki, S., Konoike, Y., Toyoda, T., Yamawaki, K. & Tanaka, M. (2004). Physica B, 350, 353–365. Web of Science CrossRef Google Scholar
Okita, A., Saito, F., Sasaki, S., Toyoda, T. & Koinuma, H. (1998). Jpn. J. Appl. Phys. 37, 3441–3445. Web of Science CrossRef Google Scholar
Okube, M. & Sasaki, S. (2014). J. Appl. Cryst. 47, 1387–1394. Web of Science CrossRef CAS IUCr Journals Google Scholar
Okube, M., Yasue, T. & Sasaki, S. (2012). J. Synchrotron Rad. 19, 759–767. Web of Science CrossRef CAS IUCr Journals Google Scholar
Ôno, K., Chandler, L. & Ito, A. (1968). J. Phys. Soc. Jpn, 25, 174–176. Google Scholar
O'Reilly, W. & Banerjee, S. K. (1965). Phys. Lett. 17, 237–238. Google Scholar
Palancher, H., Hodeau, J.-L., Pichon, C., Bérar, J.-F., Lynch, J., Rebours, B. & Rodriguez-Carvajal, J. (2005). Angew. Chem. Int. Ed. 44, 1725–1729. Web of Science CrossRef Google Scholar
Pearce, C. I., Henderson, C. M. B., Telling, N. D., Pattrick, R. A. D., Charnock, J. M., Coker, V. S., Arenholz, E., Tuna, F. & van der Laan, G. (2010). Am. Mineral. 95, 425–439. Web of Science CrossRef Google Scholar
Sakurai, S., Sasaki, S., Okube, M., Ohara, H. & Toyoda, T. (2008). Physica B, 403, 3589–3595. Web of Science CrossRef Google Scholar
Samuelsen, J., Bleeker, E. J., Dobrzynski, L. & Riste, T. (1968). J. Appl. Phys. 39, 1114–1115. CrossRef CAS Web of Science Google Scholar
Sasaki, S. (1987). KEK Internal Rep. 87–2, 1–175. Google Scholar
Sasaki, S. (1990). KEK Rep. 90–16, 1–143. Google Scholar
Sasaki, S. (1995). Rev. Sci. Instrum. 66, 1573–1576. CrossRef CAS Web of Science Google Scholar
Sasaki, S., Okube, M. & Fujinawa, G. (2013). The 12th Conference of the Asian Crystallographic Association (AsCA2013), HKUST, Hong Kong, 7–13 December 2013. P081. Google Scholar
Sasaki, Y., Okube, M. & Sasaki, S. (2017). Acta Cryst. A73, 257–270. Web of Science CrossRef IUCr Journals Google Scholar
Sasaki, S., Toyoda, T., Yamawaki, K. & Ohkubo, K. (1998). J. Synchrotron Rad. 5, 920–922. Web of Science CrossRef IUCr Journals Google Scholar
Screaton, G. R. (1960). Editor. Dispersion Relations. Edinburgh: Oliver and Boyd. Google Scholar
Stephenson, A. (1969). Geophys. J. Int. 18, 199–210. CrossRef Web of Science Google Scholar
Subías, G., García, J., Blasco, J., Herrero-Martín, J., Sánchez, M. C., Orna, J. & Morellón, L. (2012). J. Synchrotron Rad. 19, 159–173. Web of Science CrossRef IUCr Journals Google Scholar
Syono, Y. & Ishikawa, Y. (1963). J. Phys. Soc. Jpn, 18, 1230–1231. CrossRef Web of Science Google Scholar
Thompson, A. C., Attwood, D. T., Gullikson, E. M., Howells, M. R., Kortright, J. B., Robinson, A. L. & Underwood, J. H. (2001). X-ray Data Booklet, revision 2, pp. 1–8, LBNL/PUB-490. Lawrence Berkeley National Laboratory, Berkeley, CA, USA. Google Scholar
Toyoda, T., Sasaki, S. & Tanaka, M. (1997). Jpn. J. Appl. Phys. 36, 2247–2252. CrossRef CAS Web of Science Google Scholar
Toyoda, T., Sasaki, S. & Tanaka, M. (1999). Am. Mineral. 84, 294–298. Web of Science CrossRef CAS Google Scholar
Tsukimura, K., Sasaki, S. & Kimizuka, N. (1997). Jpn. J. Appl. Phys. 36, 3609–3612. Web of Science CrossRef Google Scholar
Verwey, E. J. W. & de Boer, J. H. (1936). Recl Trav. Chim. Pays Bas, 55, 531–540. CrossRef Google Scholar
Verwey, E. J. W. & Haayman, P. W. (1941). Physica, 8, 979–987. CrossRef CAS Google Scholar
Verwey, E. J. W., Haayman, P. W. & Romeijn, F. C. (1947). J. Chem. Phys. 15, 181–187. CrossRef CAS Web of Science Google Scholar
Wechsler, B. A., Lindsey, D. H. & Prewitt, C. T. (1984). Am. Mineral. 69, 754–770. Google Scholar
Wilkinson, A. P. & Cheetham, A. K. (1992). J. Appl. Cryst. 25, 654–657. CrossRef CAS Web of Science IUCr Journals Google Scholar
Yakel, H. L. (1980). J. Phys. Chem. Solids, 41, 1097–1104. CrossRef Web of Science Google Scholar
Yamada, T., Suzuki, K. & Chikazumi, S. (1968). Appl. Phys. Lett. 13, 172–174. CrossRef CAS Web of Science Google Scholar
© International Union of Crystallography. Prior permission is not required to reproduce short quotations, tables and figures from this article, provided the original authors and source are cited. For more information, click here.