conference papers
Development of an ultra-small-angle X-ray scattering instrument for probing the microstructure and the dynamics of soft matter
aEuropean Synchrotron Radiation Facility, BP 220, 38043 Grenoble, France
*Correspondence e-mail: narayan@esrf.fr
A Bonse–Hart camera suitable for studying dilute and weakly scattering systems has been developed. The required level of reduction of the parasitic background scattering was realised by replacing channel-cut crystals by a pair of polished and deeply etched parallel crystals. The performance of this ultra-small-angle X-ray scattering instrument is illustrated by means of two examples: the microstructure of a short-range attractive colloidal system; and the growth dynamics of soot particles in a diffusion flame. In addition, the feasibility of performing dynamic X-ray scattering experiments is demonstrated.
Keywords: USAXS; soft matter.
1. Introduction
The Bonse–Hart camera has been widely used for (ultra) small-angle scattering experiments for more than 40 years (Bonse & Hart, 1965; Pedersen, 1995). The Bonse–Hart double-crystal set-up offers high angular resolution (limited mainly by the width of the rocking curve) and dynamic range of intensity (8 orders of magnitude depending on the scattering power). At synchrotrons, ultra small-angle X-ray scattering (USAXS) has only been exploited since the advent of undulator sources (Diat et al., 1995; Narayanan et al., 2001; Ilavsky et al., 2002). In the conventional pinhole SAXS camera, the angular resolution and intensity dynamic range are primarily restricted by the currently available two-dimensional detectors (Pontoni et al., 2002; Gruner et al., 2002). In addition, the typical beam divergence of an undulator source is comparable to the width of the reflectivity curves of Si-111 crystals. Therefore, the loss of intensity due to the finite acceptance of the crystals is less significant compared with laboratory X-ray sources. As a result, USAXS profiles can be recorded on reasonable time scales (minutes) at undulator beamlines (Narayanan et al., 2001; Ilavsky et al., 2002).
Despite advances in imaging methods, USAXS remains a very useful technique for obtaining bulk and ensemble averaged structural information at the micron range and below. Moreover, the scattering intensity, I(q), is obtained on a quantitative scale which allows microscopic properties to be derived (which are otherwise inaccessible) using appropriate scattering models. As a result, USAXS is used to study multi-level structural features in nano-materials, microstructure and interactions in soft matter etc. (Long et al., 1991; Pontoni et al., 2003; Beaucage, Kammler, Mueller et al., 2004; Beaucage, Kammler & Pratsinis, 2004; Narayanan et al., 2006; Sztucki et al., 2006). However, for probing micron scale structural information in crystalline and semicrystalline systems, a high-resolution pinhole SAXS camera with a two-dimensional detector has certain advantages (Yagi & Inoue, 2003; Petukhov et al., 2006). The full scattering pattern is recorded simultaneously, whereas a Bonse–Hart camera requires sequential acquisition which could be a problem for oriented specimens and samples which are radiation sensitive. Accordingly, both methods are complementary and essential for recording SAXS over a wide dynamic range in scattering vector and intensity.
Bonse–Hart double-crystal diffractometers with multi-bounce channel-cut crystals show rocking curves which deviate considerably in their wings from the dynamical theory of diffraction (Agamalian et al., 1998). This has adverse consequences for studying dilute and low-scattering samples as well as dynamic scattering.
This article presents a method to reduce this parasitic background. Many potential applications become feasible by improving the parasitic background and exploiting the coherent properties of the X-ray beam. Two representative examples involving dynamical processes in soft materials are presented. One deals with the microstructure of short-range attractive colloids, and the second involves growth dynamics in an extremely dilute system consisting of soot particles in an acetylene diffusion flame.
To exploit the improvement in the instrumentation, more efficient online processing of the acquired data is critical. For this purpose, a Matlab-based graphical user interface was developed. It allows direct evaluation and modelling of Bonse–Hart USAXS and pinhole SAXS data. Details of this graphical interface are provided in Appendix A.
2. Experimental set-up
Fig. 1 shows the schematic layout of a USAXS Bonse–Hart camera installed at the High Brilliance beamline (ID2) at the European Synchrotron Radiation Facility (ESRF) in Grenoble, France. The first triple-bounce Si-220 channel-cut crystal (monochromator) is crossed (orthogonal) with the Si-111 channel-cut monochromator of the beamline optics (not shown in the figure) and serves primarily for beam conditioning. The scattering intensity is analyzed by a set of two channel-cut crystals, a triple-bounce Si-220 horizontal crystal and an orthogonal double-reflection Si-111 vertical analyzer. The crossed configuration of the analyzer crystals eliminates the well known problem of desmearing of the double-crystal set-up, providing directly the high-resolution scattering profiles in point collimation. Two high dynamic range (∼3 × 107 counts s−1) avalanche photodiodes (APDs) operated in photon-counting mode record the incident and scattering intensities. Typically, a measured rocking curve spans more than 11 orders of magnitude in intensity. Fast pneumatically controlled attenuators are used to optimize automatically the count rates on the detector during a scan and also to protect the sample from radiation damage.
The first analyzer crystal is rocked in linear or logarithmic steps to obtain the scattering profile as a function of the scattering vector, q = , where is the incident wavelength and is the scattering angle. The second analyzer is usually maintained at the corresponding Bragg angle.
For typical static experiments, the central part of the rocking curve is measured in an initial linear scan which then continues in logarithmic steps to acquire the desired range of the scattering curve. As a result, the direct beam position, the width of the rocking curve and the transmitted intensity, IT, are registered for each scan. This allows the measured intensity, IS(q), to be converted directly to an absolute scale [the differential scattering cross-section, d/d or I(q)] without requiring a calibration standard:
where I0 is the incident flux, A the beam cross section, E the detector efficiency, Tr the sample transmission, t the known sample thickness, and the solid angle defined by the rocking curves of the two analyzer crystals. I0AETr = IT is measured automatically for each scan; is known from the widths of the horizontal and the vertical analyzer crystals. After normalizing by IT, the scattering signal of the sample is superimposed on the normalized rocking curve without the sample. I(q) of the sample can be obtained by a simple subtraction of the two normalized intensities, and then dividing by and the sample thickness.
The Bonse–Hart camera installed at beamline ID2 is optimized to an operating energy of 12.4 keV. However, provision is made to operate up to 16 keV. The set-up provides a useful q-range of nm-1 at 12.4 keV ( Å). High quality rocking curves can be usually recorded within an acquisition time of a few minutes. The typical rocking curve width is about 14.5 µrad (full-width at half-maximum, see Fig. 2) and the scans are reproducible within about one µrad.
Optionally, the coherent part of the beam can be selected with a small slit setting (0.03 × 0.03 mm). In this configuration the parasitic scattering of the slits is effectively curtailed by the monochromator crystal. Dynamic X-ray scattering (DXS) or X-ray photon correlation spectroscopy (Abernathy et al., 1998) can be performed by feeding the signals of the two APDs to an ALV 5000-E dual channel correlator. This provides the homodyne intensity–intensity autocorrelation function g(2)(q,t) for the scattering as well as the incident intensities. The g(2)(q,t) of the incident intensity is used as a baseline which is subtracted from the g(2)(q,t) of the sample. The resulting quantity is used to extract the dynamics in the sample under investigation.
3. Results and discussion
3.1. Reduction of parasitic scattering
Fig. 2 shows the improvement in the parasitic scattering background in the wings of the rocking curve obtained using two sets of polished and deeply etched flat crystals which are precisely aligned parallel to each other. For a comparison, the rocking curve obtained with a regular channel-cut crystal and the reflectivity curve calculated by the dynamical theory of diffraction using the program XOP (Sánchez del Río & Dejus, 1997) are shown. An improvement of more than one order of magnitude in the background is evident and it compares well with that observed in a neutron Bonse–Hart camera (Agamalian et al., 1998). The residual background can be attributed to the mica windows in the set-up. Therefore, it is likely that the origin of the observed parasitic scattering background is a network of cracks in the surface of the crystals formed during fabrication. These cracks separate the surface layer of the crystal into small crystallites, which are slightly misoriented with respect to each other (Agamalian et al., 1998). More details of the mechanical set-up and the X-ray performance will be reported elsewhere (Sztucki et al., 2007).
This improved Bonse–Hart set-up has a lower scattering background than an optimized pinhole SAXS camera (q range 0.001–0.2 nm−1) and thereby provides new opportunities for probing the structure and dynamics of soft matter in the ultra-small-angle range.
3.2. Microstructure and dynamics
Fig. 3 shows a representative example that demonstrates the usefulness of having a wide q range and a high dynamic range in I(q) at the same time. The experimental system consists of stearyl silica particles in n-dodecane which interact via a short-ranged interparticle potential. The system undergoes a thermally reversible transition from repulsive hard spheres to attractive spheres by lowering the temperature T below a well defined value TA (Narayanan et al., 2006; Sztucki et al., 2006). The structure and dynamics of these short-ranged attractive colloids is a topic of contemporary interest (Dawson et al., 2001; Sciortino & Tartaglia, 2005). This is a model system to verify the prediction by theory and computer simulations. Fig. 3 shows the evolution of the interactions for a sample of colloid, volume fraction ≃ 0.19. As the short-range attraction is turned on by lowering the temperature below TA, the system transforms from repulsive hard spheres to attractive spheres and then forms colloidal clusters. As schematically depicted in the inset, the transition corresponds to the development of an attractive square-well potential with a depth of several and a width comparable with the thickness of the stearyl layer, where kB is the Boltzmann constant. The high q data show the oscillations from the particle form factor, whereas the intermediate q range is dominated by the structure factor of interaction. The low q upturn at lower temperatures is a clear indication of the formation of colloidal clusters. The total intensity can be described by
where Np the colloid number density, the scattering contrast between the particles and the suspending medium, and Vp the average particle volume. P(q) is the polydisperse form factor describing the spherical shape of the particles. The interparticle interaction is described by the structure factor, S(q), for a square-well system calculated using the leading order series expansion of the Percus–Yevick approximation (Dawson et al., 2001; Narayanan et al., 2006; Sztucki et al., 2006). Sc(q) describes the structure factor of the colloidal clusters (Pontoni et al., 2003; Pontoni & Narayanan, 2003; Sztucki et al., 2006). USAXS allows the separation of the contribution from changes in interparticle interaction and particle aggregation.
By exploiting the coherence of the beam, the microstructure and dynamics of the sample can be probed in a single experimental set-up. Fig. 4 shows the evolution of the particle dynamics when the system transforms from repulsive hard spheres to attractive spheres. In a purely diffusive system, g(2)(q,t) shows a single exponential decay, whereas it changes to a stretched exponential function when the particles become attractive corresponding to their constrained motion (Pontoni et al., 2003). The evolution of g(2)(q,t) is described by the following general expression:
with the stretching exponent and the characteristic diffusion time of the particles.
Although the signal level is rather low due to limited coherence, useful information about the particle dynamics can be extracted. A significant reduction in the parasitic background is essential to derive a proper homodyne g(2)(q,t) at very low q values avoiding possible heterodyning effects.
3.3. Dilute system
The merit of a reduced background is demonstrated by another application dealing with a dilute system of soot particles in an acetylene flame (). USAXS is a powerful technique to elucidate the multi-level structure (primary particles, their aggregates and agglomerates) of aerosol systems (Beaucage, Kammler, Mueller et al., 2004; Beaucage, Kammler & Pratsinis, 2004). Moreover, soot formation due to incomplete combustion of the hydrocarbon fuel is an important issue in environmental science. The growth dynamics of soot can be a very complex process (Sorensen et al., 1998) which is not fully understood. The key advantage of USAXS is that it is a non-intrusive technique compared with electron microscopy and is not influenced by optical emission from the flame, which is a severe problem in light scattering.
Fig. 5 presents the in-situ monitoring of particle aggregation as a function of the distance above the burner, which is equivalent to the kinetic time of the process. The nucleation and growth of the primary particles is more visible in the SAXS q range, while the aggregate size can be extracted only with the help of USAXS. The continuous line is a fit to the unified scattering function (Beaucage, Kammler, Mueller et al., 2004; Beaucage, Kammler & Pratsinis, 2004) providing radii of gyration of ∼33 nm for the primary particles and ∼230 nm for aggregates with fractal dimension ∼1.8. The full agglomerate scattering is beyond the USAXS q range.
4. Conclusion
A Bonse–Hart camera with low background has many potential new applications in the study of soft matter. This is demonstrated by two examples involving the microstructure and dynamics of a colloidal system, and the growth dynamics of soot particles in a diffusion flame. The microstructure and dynamics can be derived from the same experimental configuration. The improved set-up can be used for studying large biological complexes in the micron range.
APPENDIX A
A1. Online data processing and modelling
A Matlab-based graphical user interface has been developed for the online analysis of USAXS data taken with the Bonse–Hart set-up at beamline ID2 (see Fig. 6). From the initial linear scan (see Fig. 2), it automatically determines the transmitted intensity, IT, and refines the centre of the measured rocking curve. Using the known , defined by the crossed analyzer configuration, the measured intensity is directly transformed to absolute units. The angular scale is automatically converted to the q scale in nm-1. In addition, data files [format: two columns with q (nm-1) and I(q)], for instance, recorded using the pinhole SAXS camera, can be imported. This allows a direct online comparison of SAXS and USAXS measurements.
Different representations of the data are possible: double logarithmic, Guinier and Porod plots. A directory browser allows easy access to the data. Multiple data sets can be selected for simultaneous plotting. A background file can be selected from a separate listbox and can optionally be subtracted from all selected data files.
Furthermore, the possibility of online data modelling has been implemented. In separate graphical user interfaces the form factor of polydisperse spherical particles, core-shell particles and hollow shell can be fitted. Structure factor fitting of repulsive and short-range attractive hard spheres in Percus–Yevick approximation, as well as fitting of Debye–Bueche and fractal structure factors is available. The implementation of further models is planned and currently under development. The program is available in a compiled version (not requiring a Matlab licence) for Windows, Linux and Solaris.
Acknowledgements
We thank J. P. Vassalli and J. Härtwig in the optics group of the ESRF for the fabrication of the polished crystals, and L. Goirand, J. Gorini and P. van Vaerenbergh for engineering support. P. Bösecke, D. Fernandez, P. Panine and A. Sole are thanked for technical support and H. Hoekstra for providing the silica particles. The European Synchrotron Radiation Facility is acknowledged for financial support and the provision of beam time.
References
Abernathy, D. L., Grübel, G., Brauer, S., McNulty, I., Stephenson, G. B., Mochrie, S. G. J., Sandy, A. R., Mulders, N. & Sutton, M. (1998). J. Synchrotron Rad. 5, 37–47. Web of Science CrossRef CAS IUCr Journals
Agamalian, M., Christen, D. K., Drews, A. R., Glinka, C. J., Matsuoka, M. & Wignall, G. D. (1998). J. Appl. Cryst. 31, 235–240. Web of Science CrossRef CAS IUCr Journals
Beaucage, G., Kammler, H. K., Mueller, R., Strobel, R., Agashe, N., Pratsinis, S. E. & Narayanan, T. (2004). Nature Mater. 3, 370–374. Web of Science CrossRef CAS
Beaucage, G., Kammler, H. K. & Pratsinis, S. E. (2004). J. Appl. Cryst. 37, 523–535. Web of Science CrossRef CAS IUCr Journals
Bonse, U. & Hart, M. (1965). Appl. Phys. Lett. 7, 238–240. CrossRef CAS Web of Science
Dawson, K. A., Foffi, G., Fuchs, M., Goetze, W., Sciortino, F., Sperl, M., Tartaglia, P., Voigtmann, T. & Zaccarelli, E. (2001). Phys. Rev. E, 63, 011401. CrossRef
Diat, O., Bösecke, P., Ferrero, C., Freund, A. K., Lambard, J. & Heintzmann, R. (1995). Nucl. Instrum. Methods Phys. Res. A, 356, 566–572. CrossRef CAS Web of Science
Gruner, S. M., Tate, M. W. & Eikenberry, E. F. (2002). Rev. Sci. Instrum. 73, 2815–2842. Web of Science CrossRef CAS
Ilavsky, J., Allen, A. J., Long, G. G. & Jemian, P. R. (2002). Rev. Sci. Instrum. 73, 1660–1662. Web of Science CrossRef CAS
Long, G. G., Jemian, P. R., Weertman, J. R., Black, D. R., Burdette, H. E. & Spal, R. (1991). J. Appl. Cryst. 24, 30–37. CrossRef Web of Science IUCr Journals
Narayanan, T., Diat, O. & Bösecke. P. (2001). Nucl. Instrum. Methods Phys. Res. A, 467, 1005–1009.
Narayanan, T., Sztucki, M., Belina, G. & Pignon, F. (2006). Phys. Rev. Lett. 96, 188301. Web of Science PubMed
Pedersen, J. S. (1995). Modern Aspects of Small Angle Scattering, edited by H. Brumberger, p. 57. Dordrecht: Kluwer Academic Publishers.
Petukhov, A. V., Thijssen, J. H. J., 't Hart, D. C., Imhof, A., van Blaaderen, A., Dolbnya, I. P., Snigirev, A., Moussaïd, A. & Snigireva, I. (2006). J. Appl. Cryst. 39, 137–144. Web of Science CrossRef CAS IUCr Journals
Pontoni, D. & Narayanan, T. (2003). J. Appl. Cryst. 36, 787–790. Web of Science CrossRef CAS IUCr Journals
Pontoni, D., Narayanan, T., Petit, J.-M., Grübel, G. & Beysens, D. (2003). Phys. Rev. Lett. 96, 258301.
Pontoni, D., Narayanan, T. & Rennie, A. R. (2002). J. Appl. Cryst. 35, 207–211. Web of Science CrossRef CAS IUCr Journals
Sánchez del Río, M. & Dejus, R. J. (1997). SPIE Proceedings, 3152, 148–157.
Sciortino, F. & Tartaglia, P. (2005). Adv. Phys. 54, 471–524. Web of Science CrossRef CAS
Sorensen, C. M., Hageman, W. B., Rush, T. J., Huang, H. & Oh, C. (1998). Phys. Rev. Lett. 80, 1782–1785. Web of Science CrossRef CAS
Sztucki, M., Gorini, J., Goirand, L., van Vaerenbergh, P., Vassalli, J. P., Härtwig, J. & Narayanan, T. (2007). J. Synchrotron Rad. In preparation.
Sztucki, M., Narayanan, T., Belina, G., Moussaïd, A., Pignon, F. & Hoekstra, H. (2006). Phys. Rev. E, 74, 051504. Web of Science CrossRef
Yagi, N. & Inoue, K. (2003). J. Appl. Cryst. 36, 783–786. Web of Science CrossRef CAS IUCr Journals
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