research papers
Energy-dispersive absorption spectroscopy for hard-X-ray micro-XAS applications
aEuropean Synchrotron Radiation Facility, Grenoble, France, and bLaboratoire de Géodynamique des Chaînes Alpines, Université Joseph Fourier, Grenoble, France
*Correspondence e-mail: sakura@esrf.fr
Originally developed for time-resolved
energy-dispersive absorption spectroscopy offers new opportunities for applications such as fluorescence detection and microbeams for scanning probe spectroscopy, thanks to recent developments in both instrumentation and optics. In this context, this paper presents a first example of chemical mapping recorded at ID24, the energy-dispersive beamline at the ESRF. Attributes of this geometry for microanalysis are addressed. Finally, present and future plans are discussed and developed in the light of the evolution of the focal spot on this instrument in the past ten years.Keywords: microspectroscopy; spectromicroscopy; X-ray absorption spectroscopy; XAS; energy-dispersive XAS.
1. Introduction
X-ray microanalysis techniques are evolving to address the development of nano-technologies by pushing spatial resolution (Adams et al., 2005). As a result, there have been major developments in laboratory instruments and dedicated synchrotron beamlines worldwide (Cai et al., 2000; Susini et al., 2002; Marcus et al., 2004; Somogyi et al., 2005; Kagoshima et al., 2004; Hirai et al., 2004; Terada et al., 2004; Flank et al., 2006), and a very competitive context can be anticipated for the coming years. Towards this perspective, synchrotron-based analytical techniques (diffraction, imaging and spectromicroscopies) will play an important role by offering unique capabilities in the study of complex systems. Ultimately, this complexity can be envisioned in three directions: compositional, temporal and spatial. Typical experiments can be broadly divided into two categories: on the one hand, morphological studies, which require high spatial resolution and are, therefore, well adapted to two-dimensional or three-dimensional full-field imaging microscopy; on the other hand, studies dealing with co-localization and/or speciation of trace elements in heterogeneous systems. Scanning X-ray microprobes using various detection modes (transmission and fluorescence) are better suited for the latter cases, which often require both low detection limits and spectroscopic analysis capabilities for chemical composition and chemical state, respectively.
Compared with other techniques, synchrotron ). Today, SXRF microprobes using undulator sources provide micrometre spatial resolution and sub-p.p.m. detection limits for Z > 20. When associated with a high-efficiency detection system, the radiation damage is minimal, and accurate quantification is possible. Furthermore, the possibility of in situ experiments remains a unique attribute of synchrotron-based analytical methods. Physical penetration of hard X-rays enables specific sample environments to be developed to study realistic systems in their near-native environment rather than as `model' systems. The ability to analyze in situ in environmental chambers such as high or low temperature, high pressure, or wet cells explains the increasing interest from communities such as planetary and earth sciences (e.g. Bassett et al., 2000; Murakami et al., 2004; Muñoz et al., 2005), environmental science and microbiology (Lai et al., 2004). More recently, fluorescence tomography has been developed, where two-dimensional slices are obtained through a three-dimensional object without physical sectioning (Golosio et al., 2004; Vincze et al., 2004).
(SXRF) microprobes display a unique combination of features (Ice, 1998The improvement of source stability of new synchrotrons together with the continuous advances in X-ray-focusing lenses is leading to further progress of submicrometre probes (Lengeler et al., 2005; Schroer & Lengeler, 2005; Liu et al., 2005; Hignette et al., 2005; Maser et al., 2004). However, if applied to X-ray absorption microspectroscopy (µ-XAS), optimal use of submicrometre probes are affected by two other factors: the angular stability of the energy-scanning crystal monochromator and possible induced by the very high photon density in the nanoprobe.
Presently all operating µ-XAS beamlines worldwide are based on scanning et al., 2002) show how much of a challenge this is with a scanning spectrometer. For chemical imaging purposes, where thousands of spectra are to be collected for a single two-dimensional image, the position and energy calibration of the beam have to be kept stable for long periods of time, and while scanning the spectrometer rapidly. To give an order of magnitude, the beam time needed to map a 1 mm × 1 mm sample area with a spatial resolution of 1 µm (106 spectra) exceeds 11 days at 1 s per spectrum. On the other hand, such an experiment becomes accessible with energy-dispersive where acquisition times approach the ms per spectrum in transmission mode. The total beam time needed for the same map is less than 3 h at 10 ms per spectrum.
spectrometers, and feature full spot sizes of the order of a few micrometres FWHM. The major challenge for these instruments for two-dimensional µ-XAS mapping with a submicrometre resolution will be to stabilize the focal spot position as a function of energy. Early attempts of µ-XANES with a submicrometre beam (McHugoIn this context, a submicrometre spot size on an energy-dispersive1 beamline optimized for both transmission and fluorescence detection stands out as a very powerful alternative, featuring a rigorously stable focal spot, in both position and shape, and rapid acquisition.2
Although the submicrometre scale is presently still not accessible, mainly due to limitations in the surface finish of X-ray optics, this paper aims at assessing various issues involved in the definition of a dispersive gives a historical overview of the evolution of energy-dispersive and applications. In this perspective, the energy-dispersive beamline at the ESRF is shown as an example, and described in detail in §3. The evolution of the spot size on this instrument, together with novel capabilities for yield detection, suggested a specific development towards microanalysis applications, an example of which is illustrated in §4.
beamline optimized for microanalysis on the micrometre scale. §22. Evolution of energy-dispersive spectrometers and their applications
The first design and evaluation of an energy-dispersive spectrometer to measure X-ray absorption fine structure (XAFS) spectra rapidly using synchrotron radiation was presented over 20 years ago (Matsushita & Phizackerley, 1981; Phizackerley et al., 1983). The method employed a cylindrically bent triangular crystal to focus and disperse a quasi-parallel polychromatic X-ray beam onto the sample. The beam passing through the sample then diverged towards a linear detector, where beam position could be correlated to energy. This method was applied successfully in the following years in the fields of biophysics, chemistry and materials science to track rapid changes in the local and electronic structure of absorber atoms in disordered systems (Matsushita et al., 1986; Tourillon et al., 1986; Ascone et al., 1987; Yoshida et al., 1990; Couves et al., 1991).
In energy-dispersive et al., 2000; Suzuki et al., 2003; Newton et al., 2005).
(ED-XAS) the time resolution for data acquisition is technically limited only by the readout time of the detection system, since all energy points are collected rigorously in parallel, and advances in time resolution closely followed developments in position-sensitive detectors (IlesED-XAS was found to be also well suited for studies at extreme conditions of pressure using a diamond-anvil cell (Itié et al., 1989; Sapelkin et al., 1996), where the strongly focusing crystal and the absence of movements provide the necessary small and stable focal spot, respectively. Moreover, from a practical point of view, Bragg reflections from the diamond anvils can be removed quickly from the energy range of interest, because the whole spectral range is observed simultaneously. The pressure range that can be covered has an upper limit defined by the size of the diamond culet, which is in turn limited by the size of the focal spot. Major breakthroughs occurred when the original triangular-shaped crystal bender was upgraded to the use of a profiled crystal (Tolentino et al., 1990) and later to a profiled rectangular crystal on a four-point bender (Allen et al., 1993). Further progress in X-ray focusing optics allowed the limit to be pushed up to the Mbar regime (San Miguel et al., 2000; Pascarelli et al., 2004; Aquilanti & Pascarelli, 2005).
Finally, the third application of ED-XAS takes full advantage of the intrinsic stability of this technique to collect data which inherently show only small differences, such as X-ray et al., 1991). An important breakthrough in this field occurred with the extension of the use of quarter-wave plates to polychromatic and divergent beams (Giles et al., 1994). Nowadays, ED-XAS is recognized as being a very valuable technique for XMCD studies at high pressures (Baudelet et al., 1997; Mathon et al., 2004).
(XMCD) (BaudeletVery recently, the ability of ED-XAS to detect very small differential signals has improved the sensitivity of extended X-ray absorption fine structure (EXAFS) measurements to include atomic displacements of the order of 0.00001 Å3 (Pettifer et al., 2005), which is about 100 times smaller than had previously been assumed. This was made possible by exploiting the stability (no moving parts) and acquisition speed of ED-XAS to overcome the major limitations of the conventional scanning technique, i.e. the signal-to-noise ratio of the measurement and the energy stability between comparative measurements.
The conventional optical scheme for ED-XAS is shown in Fig. 1(a). The spectrometer is installed on a divergent synchrotron source (generally a bending magnet). The latter source naturally yields the large horizontal divergence (typically a few mrads) necessary to obtain, with reasonable radii of curvature of the polychromator crystal, an energy dispersion making it possible to cover a whole spectrum.
Fig. 1(b) shows instead the non-conventional optical scheme adopted at the European Synchrotron Radiation Facility for beamline ID24, installed on an undulator source. The choice of an undulator is unusual, but has clear advantages (Goulon & Fontaine, 1991):
(i) The possibility of matching the bandwidth of emission of the undulator and the acceptance of the polychromator by optimizing the gap, the taper and the radius of curvature of the polychromator crystal. This results in a reduction of heat load on the optics.
(ii) A substantial reduction of unwanted harmonics.
(iii) Higher
and lower vertical divergence.(iv) Low monochromatic horizontal and vertical divergences, which allow the optimal exploitation of the properties of quarter-wave plates to tune the helicity of incoming photons.
The required horizontal divergence is obtained by inserting a strongly focusing mirror upstream of the polychromator, as shown in Fig. 1(b). This mirror also performs a first important demagnification of the source making this optical scheme more suited for microfocus/high-brilliance applications. In conclusion, the unusual choice of an undulator source allows maximum advantage to be taken of a third-generation source.
3. Example of ID24
In this section we describe the optical scheme of ID24 and show the evolution of spot sizes in the past ten years. Such a consequential improvement has been possible thanks to an intensive research and development program carried out at the ESRF, often in collaboration with optics manufacturing companies. We indicate present limitations and possible evolution of the spot size in the future. Finally, we describe an option for sequential acquisition using an energy-dispersive spectrometer, which combines some of the advantages of the ED-XAS concept (i.e. small focal spot and stability of focus position and energy scale) with fast fluorescence detection.
3.1. The optical scheme and evolution of spot size
Beamline ID24 at the European Synchrotron Radiation Facility represents the only example of the non-conventional scheme illustrated in Fig. 1(b). It uses undulator radiation emitted from two 42-pole undulators installed on a high-β straight section of the machine. The choice of a high-β section minimizes the mirror's length and therefore allows for better surface figure. The complete optical scheme of ID24 is shown in Fig. 2. The optics is based on the original configuration (Hagelstein et al., 1997), i.e. a pair of mirrors in a Kirkpatrick–Baez geometry (VFM1 and HFM) and the polychromator crystal (PLC). A second vertically focusing mirror (VFM2) was added downstream of the polychromator (Pascarelli et al., 2004) to refocus the beam on the sample. Mirror HFM demagnifies the source horizontally into 1H, the effective source for the polychromator crystal PLC.
Mirror VFM1 slightly magnifies the source vertically into 1V, the effective source for VFM2. The polychromator and VFM2 then refocus the beam onto the sample position S horizontally and vertically, respectively (2H/2V). The shape and surface quality of VFM1 and HFM have been optimized recently to reduce the spot size. Table 1 summarizes the present shape, slope error, positions and demagnification factors of the optical elements.
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Fig. 3 illustrates the evolution of the size of the focal spot on ID24 in the past ten years. Discontinuities correspond to optimization of the optical scheme and elements (i.e. implementation of a profiled polychromator crystal (Pellicer-Porres et al., 1998) and of the vertical refocusing mirror VFM2, followed more recently by the refurbishment of an elliptical HFM and a new VFM1 both with state-of-the-art surface finish). In Fig. 3 we compare the measured spot sizes to estimated vertical and horizontal values in the limit of zero slope error on the optics, obtained directly from the demagnification factors listed in Table 1 and source sizes listed in Table 2. Estimates of final spot sizes, as well as the different contributions from source size and slope error, are listed in Table 3. The calculated values (in bold) are quite close (to within 30%) to the measured values shown in Fig. 3.
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It is the quality of the polychromator crystal (surface polish and thickness homogeneity) which now limits the horizontal spot size: a thickness ). In the vertical plane the spot size is presently still limited by slope errors on VFM1. Measured values now are ∼6 µm FWHM (Fig. 5). In an upcoming refurbishment of the polychromator and experimental hutch, a reduction of the focal distance of the polychromator to ∼0.6 m is envisaged. This will have a double action: further decrease the horizontal spot and increase the energy window of the diffracted polychromatic beam, to yield a 1000 eV energy window sufficient to cover at the Fe K-edge (7 keV).
better than ±2 µm along the 300 mm of the crystal can now be achieved leading to spot sizes as low as ∼3 µm FWHM measured at 15 keV (Fig. 4In the limit of zero slope error on the optics, the estimated spot sizes are of the order of 2 µm × 1 µm FWHM. However, the surface finish of VFM1 and of the polychromator are now the limiting factors in spot size. In order to go below the micrometre, important modifications of the optical scheme as well as major advances in surface finish technology are required.
3.2. Fluorescence detection
In ED-XAS the beam impinging on the sample is polychromatic. The simultaneous absorption, by the sample, of polychromatic photons in a large energy range, as well as the conservation, upon interaction with the sample, of the photon energy–direction correlation, is at the basis of the parallel acquisition feature that characterizes ED-XAS and leads to unequalled time resolution (today, circa the ms for non-reversible processes). Therefore, core-hole decay spectroscopies, that imply the detection of emitted fluorescence photons or of total electron yield for each energy value of the absorbed photon, and where energy-direction correlation is not preserved, require a new strategy. Samples with low absorber concentration in highly absorbing matrixes, for example, are not suited for ED-XAS in the usual `parallel acquisition' mode. This is also true for samples that produce important small-angle scattering, since the energy–direction correlation is strongly perturbed resulting in an important loss in energy resolution on the detector. The use of scattering filters to overcome this has been attempted (Hagelstein et al., 1998).
The TurboXAS mode (Pascarelli et al., 1999), whereby a thin slit positioned immediately downstream of the polychromator selects a monochromatic beam from the polychromatic fan, makes it possible to take advantage of some of the features of ED-XAS, namely the energy and focal spot stability, to perform on dilute samples using fluorescence detection, as well as subsecond in transmission mode on samples not suited for parallel acquisition (Pascarelli et al., 2000). This scheme was initially suggested by Oyanagi (1993). It is important to mention that this method only works on ID24 because the energy resolution contribution due to source size can be neglected with respect to other contributions, i.e. slit aperture and intrinsic energy resolution of the crystal. This is due to the presence of a small effective source for the polychromator (see Fig. 1b) which is not the general case of the conventional optical scheme depicted in Fig. 1(a).
TurboXAS is now routinely used for fast time-resolved 4.
studies in operando conditions of dilute catalysts on highly absorbing matrixes, carried out by industrial groupsA thin slit (∼100 µm) is scanned rapidly through the polychromatic fan, downstream of the polychromator crystal. The incident I0, is monitored using a first Si PIN diode on the scattered radiation by a Kapton foil. The total is detected using a second Si PIN diode, IF, oriented at π/2 with respect to the incident-beam direction. Acquisition time is limited by the signal-to-noise ratio. Typical dwell times are ∼1–2 s per spectrum. Spectra are acquired continuously as the slit is scanned along increasing and decreasing energies. The dead-time between spectra is dominated by positive and negative acceleration of the slit upon inversion of direction and is of the order of 300 ms. Dead-time between spectra can eventually be minimized by substituting the linear scanning slit with a continuously rotating spiral-shaped slit that spans the whole fan of radiation at every turn. With this implementation, acquisition rates can approach the 10 Hz regime, and will be limited in most cases by statistical noise on IF.
4. Example of chemical mapping
As mentioned previously, the combination of a small spot size and fluorescence detection makes this instrument attractive for micro-analysis with a current spatial resolution below 10 µm. The aim of this preliminary experiment was to explore the practical feasibility of complete two-dimensional mapping of a natural sample, where each pixel contains full XANES information. It is worth noting that due to the absence of mechanical scanning of the monochromator (the slit motion does not affect the probe position, nor the energy calibration) the spatial resolution is not affected by the energy scan and remains fixed to the dimensions of the probe and the energy scale is preserved. Moreover, the dwell time per pixel is short enough to make it practically possible to acquire 100 pixel × 100 pixel images in a few hours. We performed a first test experiment at the Fe K-edge on a natural rock thin section (30 µm-thick sample glued onto a 1 mm-thick glass plate). This complex geological sample, where chlorite, phengite and quartz minerals were thought to coexist, was an excellent candidate because of (i) the high variations of iron content and (ii) the expected variations of iron redox and speciation.
XANES spectra were collected in the fluorescence mode, and the covered energy range, from 7100 to 7200 eV, was acquired in about 1.5 s per spectrum. A region of interest of 390 µm by 180 µm covering the three different minerals was selected. The mapping was performed by horizontal and vertical steps of 5 µm so that 2808 XANES spectra were collected within about 100 min.
Although this approach generates a complete spectroscopic analysis, the data reduction had to be developed to produce images that give clear information on the chemical/structural properties of the sample. In particular, considering the amount of spectra to be treated, all the classical operations involved in etc.) had to be automatized and formatted as matrixes. A first approach of mapping reconstruction using this set of data is described by Muñoz et al. (2006).
data reduction (energy calibration, normalization, edge position tracking, extraction of fine structureFig. 6(a) presents an optical image of the region of interest defined on the sample. Chlorite is the greenish-to-brownish mineral in the lower part of the picture, quartz is the white mineral located in the higher part, and phengite is the `fibrous' mineral located in between chlorite and quartz. The edge-jump values provided by arctangent fits can be directly correlated to the total iron content of the sample, shown in Fig. 6(b). This image highlights qualitatively an important contrast between the different minerals. Iron content in chlorite appears particularly high and homogeneous, whereas phengite and quartz show, respectively, a low and very low iron content. Some complementary quantitative electronic microprobe analyses suggested, respectively, 24 wt%, 2 wt% and 2000 p.p.m. of iron in those different minerals. Such a high heterogeneity of iron content clearly highlights the three different crystalline phases.
Similarly, a mapping was reconstructed based on the position of the inflection points of the arctangents assimilated to the energy of the c), this criterion being directly correlated to the of iron. The mapping reveals a relatively high iron redox contrast in the chlorite mineral, with a significant shift of the (around 4 eV, from 7121 to 7125 eV). Thus, the blue regions mostly correspond to the presence of ferrous iron whereas red regions mostly correspond to ferric iron in chlorite.
(Fig. 6A speciation mapping is finally presented in Fig. 6(d). This mapping is based on the variation of the absorbance at a selected energy for the normalized XANES spectra. Results show a good correlation with Fig. 6(c), suggesting that iron (II) and iron (III) are most likely localized in two different crystallographic sites into the chlorite mineral (see Muñoz et al., 2006, for details).
Quantitative interpretation can be carried out based on an accurate analysis of the XANES and pre-edge regions of the spectra. This analysis requires generally a high signal-to-noise ratio to extract redox and speciation information. For this reason, XANES spectra belonging to the same entity (e.g. ferrous iron in chlorite) were averaged based on different `masks' generated from the images (see Muñoz et al., 2006). Fig. 7 presents a comparison, for the signals corresponding to ferrous and ferric iron in chlorite, between single- and averaged-pixel spectra. This figure illustrates that the quality of a `single-pixel' XANES is comparable with the `averaged-pixel' XANES (Fig. 7a) but that averaged spectra are required for extraction of quantitative information from pre-edges (Fig. 7b).
5. Conclusions
The case of ID24 has been used to illustrate the potential of an energy-dispersive spectrometer for micro-XAS applications. The advantages of an energy-dispersive spectrometer, that features no movement of optics during acquisition leading to an enhanced stability of energy scale, spot size and position, combined with a micrometre-sized spot and fluorescence detection, make it realistic to address two-dimensional mapping with micrometre resolution on heterogeneous samples, providing full
information on each pixel. This information, intrinsically complete, is also too complex to be directly visualized. The extraction of the relevant information, spanning from simple identification (from XANES) to local structural parameters (from EXAFS), will require specific software developments for data reduction, image reconstruction and visualization, providing targeted reduced information on each pixel.In the years to come, improvements in crystal and mirror surface quality are expected and will allow `ideal optics' values of the order of the micrometre for this beamline to be approached. In order to go beyond the micrometre, major modifications of the optical scheme are required, and a longer beamline, with higher demagnification, is to be envisaged.
Footnotes
1We will use the historically accepted term `energy dispersive' throughout this paper, although the polychromator crystal performs more exactly a `wavelength dispersion' of the incident beam.
2S. Pascarelli, O. Mathon, J. Susini, ESRF internal communication. A preliminary design for a hypothetical dispersive beamline at the ESRF, that incorporates the future expected improvements in the quality of the optics, foresees a focal spot of the order of 300 nm × 300 nm.
3This value is obtained directly from the amplitude of the differential Fe K-edge signal measured for an FeCo thin film undergoing periodic strain through magnetostriction. It represents, therefore, the sensitivity to atomic displacements, not to atomic positions.
4Unpublished proprietary research.
Acknowledgements
We are very grateful to S. Pasternak for technical assistance in the design of the experimental set-up of all µ-XAS experiments on ID24. M. C. Dominguez and F. Perrin are greatly acknowledged for assistance in the acquisition software and electronics of the TurboXAS mode. We are also indebted to A. Vivo for endless assistance in the control, the diagnostics and the acceptance tests of the optical elements. We would like to thank P. Villermet and J. P. Vassalli for constant implication in the preparation of high-quality crystal polychromators. Finally, we thank the editor and the referees for constructive comments.
References
Adams, F., Van Vaeck, L. & Barrett, R. (2005). Spectrochim. Acta, B60, 13–26. CrossRef Google Scholar
Allen, P. G., Conradson, S. D. & Penner-Hahn, J. E. (1993). J. Appl. Cryst. 26, 172–179. CrossRef Web of Science IUCr Journals Google Scholar
Aquilanti, G. & Pascarelli, S. (2005). J. Phys. Condens. Matter, 17, 1811–1824. Web of Science CrossRef CAS Google Scholar
Ascone, I. et al. (1987). Springer Series in Biophysics, Vol. 2, Biophysics and Synchrotron Radiation, edited by A. Bianconi and A. Congiu-Castellano. Berlin: Springer Verlag. Google Scholar
Bassett, W. A., Anderson, A. J., Mayanovic, R. A. & Chou, I.-M. (2000). Chem. Geol. 167, 3–10. Web of Science CrossRef CAS Google Scholar
Baudelet, F., Dartyge, E., Fontaine, A., Brouder, C., Krill, G. & Piecuch, M. (1991). Phys. Rev. B, 43, 5857–5866. CrossRef CAS Web of Science Google Scholar
Baudelet, F. Odin, S., Giorgetti, C., Dartyge, E., Itié, J.-P., Polian, A., Pizzini, S., Fontaine, A. & Kappler, J.-P. (1997). J. Phys. IV, 7(C2), 441–442. Google Scholar
Cai, Z., Lai, B., McNulty, I., Khounsary, A., Maser, J., Ilinski, P., Legnini, D., Trakhtenberg, E., Xu, S., Tieman, B., Wiemerslage, G., Yun, W. & Gluskin, E. (2000). AIP Conf. Proc. 521, 31–34. CrossRef Google Scholar
Couves, J. W., Thomas, J. M., Waller, D., Jones, R. H., Dent, A. J., Derbyshire, G. E. & Greaves, N. (1991). Nature (London), 354, 465–468. CrossRef CAS Google Scholar
Flank, A.-M., Cauchon, G., Lagarde, P., Bac, S., Janousch, M., Wetter, R., Dubuisson, J. M., Idir, M., Langlois, F., Moreno, T. & Vantelon, D. (2006) Nucl. Instrum. Methods Phys. Res. B, 246, 269–274. CrossRef CAS Google Scholar
Giles, C., Malgrange, C., Goulon, J., de Bergevin, F., Vettier, C., Dartyge, E., Fontaine, A., Giorgetti, C. & Pizzini, S. (1994). J. Appl. Cryst. 27, 232–240. CrossRef CAS Web of Science IUCr Journals Google Scholar
Golosio, B., Somogyi, A., Simionovici, A., Bleuet, P., Susini, J. & Lemelle, L. (2004). Appl. Phys. Lett. 84, 2199–2201. Web of Science CrossRef CAS Google Scholar
Goulon, J. & Fontaine, A. (1991). ESRF Internal Report AF-JG/XAS/ESRF/02–91. ESRF, Grenoble, France. Google Scholar
Hagelstein, M., Lienert, U., Ressler, T., San Miguel, A., Freund, A., Cunis, S., Schulze, C., Fontaine, A. & Hodeau, J. L. (1998). J. Synchrotron Rad. 5, 753–755. Web of Science CrossRef CAS IUCr Journals Google Scholar
Hagelstein, M., San Miguel, A., Fontaine, A. & Goulon, J. (1997). J. Phys. IV, 7(C2), 303–308. Google Scholar
Hignette, O., Cloetens, P., Rostaing, G., Bernard, P. & Morawe, C. (2005). Rev. Sci. Instrum. 76, 063709(1–5). CrossRef Google Scholar
Hirai, Y., Yasuami, S., Kobayashi, A., Hirai, Y., Nishino, J., Shibata, M., Yamaguchi, K., Liu, K.-Y., Kawado, S., Yamamoto, T., Noguchi, S., Takahashi, M., Konomi, I., Kimura, S., Hasegawa, M., Awaji, N., Komiya, S., Hirose, T., Ozaki, S., Okajima, T., Ishikawa, T. & Kitamura, H. (2004). Nucl. Instrum. Methods, A521, 538–548. CrossRef Google Scholar
Ice, G. E. (1998). X-ray Microprobe for Fluorescence and Diffraction Analysis, in Methods in Materials Research: A Current Protocols Publication. New York: John Wiley. Google Scholar
Iles, G., Dent, A., Derbyshire, G., Farrow, R., Hall, G., Noyes, G., Raymond, M., Salvini, G., Seller, P., Smith, M. & Thomas, S. (2000). J. Synchrotron Rad. 7, 221–228. Web of Science CrossRef CAS IUCr Journals Google Scholar
Itié, J.-P., Polian, A., Calas, G., Petiau, J., Fontaine, A. & Tolentino, H. (1989). Phys. Rev. Lett. 63, 398–401. CrossRef PubMed CAS Web of Science Google Scholar
Kagoshima, Y., Koyama, T., Wada, I., Niimi, T., Tsisaka, Y., Matsui, J., Kimura, S., Kotera, M. & Takai, K. (2004). AIP Conf. Proc. 705, 1263–1266. CrossRef CAS Google Scholar
Lai, B., Maser, J., Vogt, S., Paunesku, T. & Woloschak, G. E. (2004). Int. J. Radiat. Biol. 80, 459–461. CrossRef PubMed CAS Google Scholar
Lengeler, B., Schroer, C. G., Kuhlmann, M., Benner, B., Guenzler, T. F., Kurapova, O., Zontone, F., Snigirev, A. & Snigireva, I. (2005). J. Phys. D, 38 A218–A222. Google Scholar
Liu, W., Ice, G. E., Tischler, J. Z., Khounsary, A., Liu, C., Assoufid, L. & Macrander, A. T. (2005). Rev. Sci. Instrum. 76, 113701(1–6). Google Scholar
McHugo, S. A., Mohammed, A., Thompson, A. C., Lai, B. & Cai, Z. (2002). J. Appl. Phys. 91, 6396–6405. Web of Science CrossRef CAS Google Scholar
Marcus, M. A., MacDowell, A. A., Celestre, R., Manceau, A., Miller, T., Padmore, H. A. & Sublett, R. E. (2004). J. Synchrotron Rad. 11, 239–247. Web of Science CrossRef CAS IUCr Journals Google Scholar
Maser, J., Stephenson, G. B., Shu, D., Lai, B., Vogt, S., Khounsary, A., Li, Y., Benson, C. & Schneider, G. (2004). AIP Conf. Proc. 705, 470–473. CrossRef Google Scholar
Mathon, O., Baudelet, F., Itié, J.-P., Polian, A., d'Astuto, M., Chervin, J.-C. & Pascarelli, S. (2004). Phys. Rev. Lett. 93, 255503-1–255503-4. Google Scholar
Matsushita, T., Oyanagi, H., Saigo, S., Kaminaga, U., Hashimoto, H., Kihara, H., Yoshida, N. & Fujimoto, M. (1986). Jpn. J. Appl. Phys. 25, L523–L525. CrossRef CAS Web of Science Google Scholar
Matsushita, T. & Phizackerley, R. P. (1981). Jpn. J. Appl. Phys. 20, 2223–2228. CrossRef CAS Web of Science Google Scholar
Muñoz, M., Bureau, H., Malavergne, V., Ménez, B., Wilke, M., Schmidt, C., Simionovici, A., Somogyi, A. & Farges, F. (2005). Phys. Scr. T115, 921–922. Google Scholar
Muñoz, M., De Andrade, V., Vidal, O., Lewin, E., Pascarelli, S. & Susini, J. (2006). Geochem. Geophys. Geosyst. Submitted. Google Scholar
Murakami, M., Hirose, K., Kawamura, K., Sata, N. & Ohishi, Y. (2004). Science, 304, 855–858. Web of Science CrossRef PubMed CAS Google Scholar
Newton, M. A., Fiddy, S. G., Guilera, G., Jyoti, B. & Evans, J. (2005). Chem. Commun. pp. 118–120. Web of Science CrossRef Google Scholar
Oyanagi, H. (1993). Jpn. J. Appl. Phys. I, 32, 861–864. CrossRef CAS Google Scholar
Pascarelli, S., De Panfilis, S. & Neisius, T. (2000). Phys. Rev. B, 62, 3717–3721. Web of Science CrossRef CAS Google Scholar
Pascarelli, S., Mathon, O. & Aquilanti, G. (2004). J. Alloys Compds, 362, 33–40. Web of Science CrossRef CAS Google Scholar
Pascarelli, S., Neisius, T. & De Panfilis, S. (1999). J. Synchrotron Rad. 6, 1044–1050. Web of Science CrossRef CAS IUCr Journals Google Scholar
Pellicer-Porres, J., San Miguel, A. & Fontaine, A. (1998). J. Synchrotron Rad. 5, 1250–1257. CrossRef IUCr Journals Google Scholar
Pettifer, R. F., Mathon, O., Pascarelli, S., Cooke, M. D. & Gibbs, M. R. J. (2005). Nature (London), 435, 78–80. CrossRef PubMed CAS Google Scholar
Phizackerley, R. P., Rek, Z. U., Stephenson, G. B., Conradson, S. D., Hodgson, K. O., Matsushita, T. & Oyanagi, H. (1983). J. Appl. Cryst. 16, 220–232. CrossRef CAS Web of Science IUCr Journals Google Scholar
San Miguel, A., Libotte, H., Gaspard, J.-P., Gauthier, M., Itié, J.-P. & Polian, A. (2000). Eur. Phys. J. B, 17, 227–233. Web of Science CrossRef Google Scholar
Sapelkin, A. V., Bayliss, S. C., Lyapin, A. G., Brazhkin, V. V., Itié, J.-P., Polian, A., Clark, S. M. & Dent, A. J. (1996). Phys. Status Solidi B, 198, 503–508. CrossRef CAS Google Scholar
Schroer, C. G. & Lengeler, B. (2005). Phys. Rev. Lett. 94, 054802(1–4). CrossRef Google Scholar
Somogyi, A., Tucoulou, R., Martinez-Criado, G., Homs, A., Cauzid, J., Bleuet, P., Bohic, S. & Simionovici, A. (2005). J. Synchrotron Rad. 12, 208–215. Web of Science CrossRef CAS IUCr Journals Google Scholar
Susini, J., Salomé, M., Fayard, B., Ortega, R. & Kaulich, B. (2002). Surf. Rev. Lett. 9, 203–211. Web of Science CrossRef CAS Google Scholar
Suzuki, A., Inada, Y., Yamagushi, A., Chihara, T., Yuasa, M., Nomura, M. & Iwasawa, Y. (2003). Angew. Chem. Int. Ed. 42, 4795–4799. Web of Science CrossRef CAS Google Scholar
Terada, Y., Goto, S., Takimoto, N., Takeshita, K, Yamazaki, H., Shimizu, Y., Takahashi, S., Ohashi, H., Furukawa, Y., Matsushita, T., Ohata, T., Ishizawa, Y., Uruga, T., Kitamura, H., Ishikawa, T. & Hayakawa, S. (2004). AIP Conf. Proc. 705, 376–379. CrossRef Google Scholar
Tolentino, H., Baudelet, F., Dartyge, E., Fontaine, A., Lena, A. & Tourillon, G. (1990). Nucl. Instrum. Methods Phys. Res. A, 289, 307–316. CrossRef Web of Science Google Scholar
Tourillon, G., Dartyge, E., Fontaine, A. & Jucha, A. (1986). Phys. Rev. Lett. 57, 603–606. CrossRef PubMed CAS Web of Science Google Scholar
Vincze, L., Vekemans, B., Brenker, F., Falkenberg, G., Rickers, K., Somogyi, A., Kersten, M. & Adams, F. (2004). Spectrochim. Acta, B76, 6792–6796. Google Scholar
Yoshida, N., Matsushita, T., Saigo, S., Oyanagi, H., Hashimoto, H. & Fujimoto, M. (1990). J. Chem. Soc. Chem. Commun. 4, 354–356. CrossRef Web of Science Google Scholar
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