Tables for
Volume H
Powder diffraction
Edited by C. J. Gilmore, J. A. Kaduk and H. Schenk

International Tables for Crystallography (2018). Vol. H, ch. 2.9, pp. 192-195

Section Reactions requiring specialist cells

W. van Beeka* and P. Pattisona,b

aSwiss–Norwegian Beamlines at ESRF, CS 40220, 38043 Grenoble CEDEX 9, France, and bLaboratory for Quantum Magnetism, Institute of Physics, Ecole Polytechnique Federale de Lausanne, CH-1015 Lausanne, Switzerland
Correspondence e-mail: Reactions requiring specialist cells

| top | pdf | Cells for electrochemistry

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With ever-increasing standards of living, the world is becoming more and more dependent on energy. As natural resources (coal, gas and petrol) are limited, there has been a large impetus towards developing alternative ways of producing and storing energy, while also taking into account environmental issues. Despite many decades of research and tremendous progress in this field, in situ diffraction was only adapted for electrochemical research in the 1990s. Nevertheless, this field now has the largest variety of cells. It is impossible to give a comprehensive overview of this complex subject here, and therefore the reader is referred to the articles by Brant et al. (2013[link]), De Marco & Veder (2010[link]) and Morcrette et al. (2002[link]), which describe how to design and reference most existing miniaturized in situ cells. The recent work by Johnsen & Norby (2013[link]), who have developed a capillary-based micro-battery cell, is not included in these reviews. The main advantage of this cell is that it allows diffraction data to be obtained from a single electrode. The recent work on electrochemical cells using conventional diffractometers (Shen et al., 2014[link]) and high-throughput cells for synchrotron applications (Herklotz et al., 2013[link], 2016[link]) is also relevant. When planning experiments on central facilities, not only appropriate cells but also dedicated ancillary equipment (e.g. a glove box) for cell loading owing to air sensitivity of the electrode material (e.g. lithium) are essential. In centralized facilities, this may lead to conflicts due to the incompatibility of liquid electrolytes with samples from other users, and dedicated electrochemistry glove boxes have started to appear. As an example of the use of an electrochemical cell, Morcrette et al. (2002[link]) managed to perform structural Rietveld refinement during delithiation of an LiCoO2 electrode. In order to obtain reliable intensities, five diffraction images at six different positions in the cell were averaged for each point in the charge cycle. Owing to the amount and quality of the data, six different structural phases could be determined, including lattice parameters, space group, atomic positions and R factors (see Fig. 2.9.5[link]). As the potentiostat or galvanostat is driving and measuring the performance of the battery, the structure–activity relationship is obtained automatically. This is a similar concept to the operando methodology in catalysis research that uses a mass spectrometer to measure activity.

[Figure 2.9.5]

Figure 2.9.5 | top | pdf |

(a) In situ synchrotron diffraction patterns (selected region) of an LiCoO2/Li cell collected during cell charging. Below: overview of a Bellcore flat three-electrode plastic Li-ion cell (b) with an enlargement (c) of the assembly steps during which all the separated laminates are brought together by a thermal fusion process via a laminator. The thicknesses of the plastic Li-ion cells assembled for in situ X-ray experiments were about 0.4/0.5 mm. A derived version of the Bellcore plastic Li-ion battery with a beryllium window thermally glued to the packing envelope on one side is shown in (d). Adapted from Morcrette et al. (2002[link]) with permission from Elsevier.

In analogy with microcapillary cells, miniaturized electrochemistry cells are extremely efficient for studying many aspects of an operational battery despite the fact that a fundamental understanding of electrochemical systems is inherently challenging. All the components of a cell influence each other at the interfaces during the cyclic charge-transfer process. It is also crucial to be able to establish the critical factors that determine the lifetime of the battery. To make efficient use of beamtime, it is common practice to construct many cells within one frame, all operating in parallel. The whole batch of cells is then mounted on translation stages on a diffractometer and measurements are taken periodically. However, miniature cells will never provide a complete picture, and there will always be a need to study large prototype or production cells (Rijssenbeek et al., 2011[link]) of the types discussed in Sections[link] and[link]. Cells with humidity control

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Humidity is a relevant parameter in many areas of research. For instance, the interlayer spacing in clays, corrosion, pharmaceutical processes, cement hardening, phase transitions in minerals or proton conductors and crystal growth of salts are all dependent on relative humidity, often in combination with high temperatures.

Most work so far has been carried out in home laboratories with flat-plate commercial chambers connected to a manifold with a gas mass-flow controller and liquid mass-flow controllers, thus providing an air flow with controlled humidity (Chipera et al., 1997[link]; Kühnel & van der Gaast, 1993[link]; Watanabe & Sato, 1988[link]). In addition, capillary cells have also successfully been used (Walspurger et al., 2010[link]) on synchrotrons. It is imperative to have very good thermal stability and to avoid temperature gradients throughout the system. The dew point of water is strongly affected by temperature, and unwanted condensation of water can easily occur on colder parts of the system. Fig. 2.9.6[link] shows a schematic of a humidity-control system developed by Linnow et al. (2006[link]). The thermal management in this design has been optimized to avoid condensation.

[Figure 2.9.6]

Figure 2.9.6 | top | pdf |

Schematic drawing of the humidity-control system: (1) mass-flow controller, (2) adsorption dryer, (3) pressure regulator, (4) heated bubbler, (5) peristaltic pump, (6) water reservoir, (7) thermostat, (8) condensation trap, (9) mixing chamber and (10) thermostat. Adapted with permission from Linnow et al. (2006[link]). Copyright (2006) American Chemical Society.

Linnow et al. (2006[link]) and Steiger et al. (2008[link]) have used the system in Fig. 2.9.6[link] to investigate the crystal growth of various salts, which is considered to be the cause of many failures in building materials (stone, brick, concrete). In order to do so, they scanned through the relative humidity (RH) versus temperature phase diagrams of these salts in various porous materials used in the building industry. Diffraction experiments revealed differences in reaction pathways and stress in both host and guest materials.

The NASA Phoenix Mars Lander has discovered perchlorate anions on Mars. This is important, since they could possibly be used as indicators for hydrological cycles. Robertson & Bish (2010[link]) studied a magnesium perchlorate hydrate system, Mg(ClO4)2·nH2O, with the aim of solving the various unknown crystal structures as a function of water content n. Fig. 2.9.7[link] shows in situ diffraction data collected during dehydration in a commercial Anton Paar flat-plate heating stage connected to an automated RH control system similar to that shown in Fig. 2.9.6[link]. The rapidly collected in situ data (30 s per scan, with a position-sensitive detector) were crucial to define at what temperatures longer data collections had to be taken in order to acquire single-phase, high-quality powder patterns suitable for crystal structure solution. Robertson & Bish (2010[link]) managed to index and solve the dihydrate and tetrahydrate phases by charge flipping. Although the tetrahydrate structure was later revised by Solovyov (2012[link]) using the exact same data, this example clearly indicates the level of complexity that can be studied in local laboratories under in situ conditions. In this case, this task included understanding the dehydration pathway, solving the structure of Cl2H4MgO10 with two molecules in the unit cell and refining anisotropic displacement parameters using Rietveld refinement.

[Figure 2.9.7]

Figure 2.9.7 | top | pdf |

Sequence of XRD measurements between 21 and 27° 2θ. On heating at a rate of 2° min−1 at <1% RH, sequential dehydration was observed, with the anhydrate observed at the highest temperature. The vertical axis represents intensity. The `time' (scan number) axis represents temperature from 298 to 498 K in 2° min−1 increments. Adapted from Robertson & Bish (2010[link]). Large-volume cells for energy-dispersive diffraction

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Large-volume cells have been used to date with great success almost exclusively with energy-dispersive diffraction (EDXRD). Early work on this was carried out by Munn et al. (1992[link]) and He et al. (1992[link]) using the synchrotron source at Daresbury Laboratory. Walton & O'Hare (2000[link]), who continued the pioneering work, provide a good historical overview of the kinds of studies that can be performed. Norby (2006[link]) also provides excellent references to and explanations of work in this field. In brief, the main advantages of EDXRD are that the X-ray high energies (i.e. 50–120 keV) present in the beam can penetrate and probe into large vessels. Furthermore, only minor modifications to create small entrance and exit windows on commercial autoclaves, which are standard equipment in many laboratories, are necessary in order to turn them into extreme-condition in situ reaction vessels. An additional advantage arises from the fact that there is no bias due to volume differences between the laboratory experiments and in situ reactions studied at the synchrotron (see Fig. 2.9.8[link]).

[Figure 2.9.8]

Figure 2.9.8 | top | pdf |

A schematic of the Oxford/Daresbury hydrothermal autoclave used for energy-dispersive X-ray diffraction studies. Adapted from Walton & O'Hare (2000[link]) with permission of The Royal Society of Chemistry.

The variety of scientific applications is huge: pressure-induced phase transitions of inorganic solids, hydrothermal synthesis of microporous solids, intercalation, growth of layered perovskites and breathing in metal-organic frameworks, to name a few examples (see Walton & O'Hare, 2000[link]). Extreme conditions can be reached in terms of temperature (∼1273 K) in an autoclave with subsecond XRD time resolution. EDXRD in combi­nation with large-volume autoclaves has provided otherwise-inaccessible information on many processes: intermediates in crystallization routes, activation energies for reactions, and kinetic parameters crucial for their understanding and optimization. The major disadvantage of EDXRD is that the resolution in the diffraction pattern is limited, since it is defined by the energy resolution of the solid-state detector. This effectively excludes all access to precise structural information. However, recent efforts have allowed quantitative phase analysis (Rowles, 2011[link]; Rowles et al., 2012[link]). With the advent of third-generation synchrotrons, which provide orders of magnitude more flux at high energies, and the availability of high-energy flat-panel detectors, angular-dispersive diffraction data can successfully be collected from samples in large-volume cells. Their use expands the available information dramatically. To date, however, there are very few high-energy angular-dispersive beamlines, and the use of the large-volume cells in combination with EDXRD remains an active field and has recently been developed further by, for example, Moorhouse et al. (2012[link]) at the Diamond Light Source. The cell there can be equipped with various reaction vessels made of alumina, steel, PTFE-lined steel or glassy carbon tubes depending on the chemical reaction to be studied. It can achieve temperatures as high as 1473 K with infrared lamps and has a magnetic stirrer to avoid sedimentation of the reaction products. In addition, Styles et al. (2012[link]) have developed a large furnace and in situ cell for salt electrolysis.

Rijssenbeek et al. (2011[link]) have studied a full-size battery cell with EDXRD (see Fig. 2.9.9[link]). Diffraction data were collected during charge/discharge at high temperature of the sodium metal halide (Na/MCl2, M = Ni and/or Fe) cells. They were able to assess the charge-state variations as a function of space and time in the cell during many charge/discharge cycles, and identify local crystal structures and phase distributions. The data confirm the propagation of a known well-defined chemical reaction front beginning at the ceramic separator and proceeding inward.

[Figure 2.9.9]

Figure 2.9.9 | top | pdf |

(a) Schematic of a sodium-halide cell in an in situ synchrotron EDXRD experimental setup. (b) Cross-sectional computed tomography image of a cell. The arrow along the cell diagonal denotes the path of the X-ray line scans used in this work. This corresponds to an X-ray penetration depth of up to 50 mm. Adapted from Rijssenbeek et al. (2011[link]) with permission from Elsevier. Large-volume cells for angular-dispersive diffraction

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This application implies the use of monochromatic X-rays with extremely high energies (70 keV and above). Such energies can be easily reached on third-generation synchrotrons with in-vacuum undulators, thus providing sufficient flux for angular-dispersive diffraction experiments. The challenge with these experiments is to have a sufficiently high X-ray energy to penetrate large sample-cell vessels while maintaining reasonably good angular resolution in the diffraction pattern. When using large in situ cells with low-energy diffraction, there is a severe peak-broadening effect resulting in a deterioration of the data quality. At high energies, however, where the scattering angles are small, the sample thickness has little effect on the angular resolution provided that the area detector is positioned at a sufficient distance from the sample. O'Brien et al. (2011[link]) explain the trade-offs for such experiments in detail and have shown that it is possible to extract useful structural information. Large-volume cells that used to be exclusively the domain of neutron diffraction and EDXRD have now also been adapted for angular-dispersive powder diffraction with, in some cases, increased speed and information content. For instance, Wragg et al. (2012[link]) studed an industrial methanol-to-olefin conversion process with operando time- and space-resolved diffraction. The sample is rapidly scanned up and down to provide one-dimensional spatial information. The results complement earlier experiments performed with a microreactor. Jacques et al. (2011[link]) extracted three-dimensional information by using dynamic X-ray diffraction computed tomography (XRD-CT). They measured over 50 000 diffraction patterns on beamline ID15 at the ESRF with different sample orientations, positions and temperatures. From this huge amount of data, they reconstructed the catalyst body in three dimensions with a diffraction pattern assigned to each volume unit within the sample as a function of time. With this information, they were able to follow the evolution of the catalytically active phase throughout the sample. Wragg et al. (2015[link]) have since performed Rietveld analysis on voxels from the XRD-CT data for a methanol-to-olefin reactor bed. It is also worth mentioning work by Jensen et al. (2007[link]), performed on beamline 1-ID at APS Argonne National Laboratory, investigating the kinetics of nanoparticle formation involving a sol–gel reaction in supercritical CO2 at 10 MPa. The reaction was studied with XRD and small-angle X-ray scattering (SAXS) in a large 30 ml vessel. In a different application, Friščić et al. (2013[link]) mounted a laboratory-scale 10 ml ball mill on the ID15 beamline in order to study mechanochemical reactions, which are used in numerous industrial production processes. By averaging ten 400 ms frames, they obtained sufficiently good data to perform full-pattern refinements and kinetic analysis, providing information about otherwise completely inaccessible processes. We therefore foresee a bright future for such extreme high-energy applications together with large-volume studies, since they provide a useful bridge between the academic and industrial worlds.


Brant, W. R., Schmid, S., Du, G., Gu, Q. & Sharma, N. (2013). A simple electrochemical cell for in-situ fundamental structural analysis using synchrotron X-ray powder diffraction. J. Power Sources, 244, 109–114.Google Scholar
Chipera, S. J., Carey, J. W. & Bish, D. L. (1997). Controlled-humidity XRD analyses: application to the study of smectite expension/contraction. Adv. X-ray Anal. 39, 713–722.Google Scholar
De Marco, R. & Veder, J.-P. (2010). In situ structural characterization of electrochemical systems using synchrotron-radiation techniques. TrAC Trends Anal. Chem. 29, 528–537.Google Scholar
Friščić, T., Halasz, I., Beldon, P. J., Belenguer, A. M., Adams, F., Kimber, S. A. J., Honkimäki, V. & Dinnebier, R. E. (2013). Real-time and in situ monitoring of mechanochemical milling reactions. Nat. Chem. 5, 66–73.Google Scholar
He, H., Barnes, P., Munn, J., Turrillas, X. & Klinowski, J. (1992). Autoclave synthesis and thermal transformations of the alumino­phosphate molecular sieve VPI-5: an in situ X-ray diffraction study. Chem. Phys. Lett. 196, 267–273.Google Scholar
Herklotz, M., Scheiba, F., Hinterstein, M., Nikolowski, K., Knapp, M., Dippel, A.-C., Giebeler, L., Eckert, J. & Ehrenberg, H. (2013). Advances in in situ powder diffraction of battery materials: a case study of the new beamline P02.1 at DESY, Hamburg. J. Appl. Cryst. 46, 1117–1127.Google Scholar
Herklotz, M., Weiss, J., Ahrens, E., Yavuz, M., Mereacre, L., Kiziltas-Yavuz, N., Dräger, C., Ehrenberg, H., Eckert, J., Fauth, F., Giebeler, L. & Knapp, M. (2016). A novel high-throughput setup for in situ powder diffraction on coin cell batteries. J. Appl. Cryst. 49, 340–345.Google Scholar
Jacques, S. D. M., Di Michiel, M., Beale, A. M., Sochi, T., O'Brien, M. G., Espinosa-Alonso, L., Weckhuysen, B. M. & Barnes, P. (2011). Dynamic X-ray diffraction computed tomography reveals real-time insight into catalyst active phase evolution. Angew. Chem. Int. Ed. 50, 10148–10152.Google Scholar
Jensen, H., Bremholm, M., Nielsen, R. P., Joensen, K. D., Pedersen, J., Birkedal, H., Chen, Y.-S., Almer, J., Søgaard, E., Iversen, S. & Iversen, B. (2007). In situ high-energy synchrotron radiation study of sol–gel nanoparticle formation in supercritical fluids. Angew. Chem. Int. Ed. 46, 1113–1116.Google Scholar
Johnsen, R. E. & Norby, P. (2013). Capillary-based micro-battery cell for in situ X-ray powder diffraction studies of working batteries: a study of the initial intercalation and deintercalation of lithium into graphite. J. Appl. Cryst. 46, 1537–1543.Google Scholar
Kühnel, R. & van der Gaast, S. J. (1993). Humidity controlled diffractometry and its application. Adv. X-ray Anal. 36, 439–449.Google Scholar
Linnow, K., Zeunert, A. & Steiger, M. (2006). Investigation of sodium sulfate phase transitions in a porous material using humidity- and temperature-controlled X-ray diffraction. Anal. Chem. 78, 4683–4689.Google Scholar
Moorhouse, S. J., Vranješ, N., Jupe, A., Drakopoulos, M. & O'Hare, D. (2012). The Oxford–Diamond in situ cell for studying chemical reactions using time-resolved X-ray diffraction. Rev. Sci. Instrum. 83, 084101.Google Scholar
Morcrette, M., Chabre, Y., Vaughan, G., Amatucci, G., Leriche, J.-B., Patoux, S., Masquelier, C. & Tarascon, J.-M. (2002). In situ X-ray diffraction techniques as a powerful tool to study battery electrode materials. Electrochim. Acta, 47, 3137–3149.Google Scholar
Munn, J., Barnes, P., Haüsermann, D., Axon, S. A. & Klinowski, J. (1992). In-situ studies of the hydrothermal synthesis of zeolites using synchrotron energy-dispersive X-ray diffraction. J. Phase Transit. 39, 129–134.Google Scholar
Norby, P. (2006). In-situ XRD as a tool to understanding zeolite crystallization. Curr. Opin. Colloid Interf. Sci. 11, 118–125.Google Scholar
O'Brien, M. G., Beale, A. M., Jacques, S. D. M., Di Michiel, M. & Weckhuysen, M. (2011). Closing the operando gap: the application of high energy photons for studying catalytic solids at work. Appl. Catal. A Gen. 391, 468–476.Google Scholar
Rijssenbeek, J., Gao, Y., Zhong, Z., Croft, M., Jisrawi, N., Ignatov, A. & Tsakalakos, T. (2011). In situ X-ray diffraction of prototype sodium metal halide cells: time and space electrochemical profiling. J. Power Sources, 196, 2332–2339.Google Scholar
Robertson, K. & Bish, D. (2010). Determination of the crystal structure of magnesium perchlorate hydrates by X-ray powder diffraction and the charge-flipping method. Acta Cryst. B66, 579–584.Google Scholar
Rowles, M. R. (2011). On the calculation of the gauge volume size for energy-dispersive X-ray diffraction. J. Synchrotron Rad. 18, 938–941.Google Scholar
Rowles, M. R., Styles, M. J., Madsen, I. C., Scarlett, N. V. Y., McGregor, K., Riley, D. P., Snook, G. A., Urban, A. J., Connolley, T. & Reinhard, C. (2012). Quantification of passivation layer growth in inert anodes for molten salt electrochemistry by in situ energy-dispersive diffraction. J. Appl. Cryst. 45, 28–37.Google Scholar
Shen, Y., Pedersen, E. E., Christensen, M. & Iversen, B. B. (2014). An electrochemical cell for in operando studies of lithium/sodium batteries using a conventional X-ray powder diffractometer. Rev. Sci. Instrum. 85, 084101.Google Scholar
Solovyov, L. A. (2012). Revision of the Mg(ClO4)2·4H2O crystal structure. Acta Cryst. B68, 89–90.Google Scholar
Steiger, M., Linnow, K., Juling, H., Gülker, G., Jarad, A. E., Brüggerhoff, S. & Kirchner, D. (2008). Hydration of MgSO4·H2O and generation of stress in porous materials. Cryst. Growth Des. 8, 336–343.Google Scholar
Styles, M. J., Rowles, M. R., Madsen, I. C., McGregor, K., Urban, A. J., Snook, G. A., Scarlett, N. V. Y. & Riley, D. P. (2012). A furnace and environmental cell for the in situ investigation of molten salt electrolysis using high-energy X-ray diffraction. J. Synchrotron Rad. 19, 39–47.Google Scholar
Walspurger, S., Cobden, P. D., Haije, W. G., Westerwaal, R., Elzinga, G. D. & Safonova, O. V. (2010). In situ XRD detection of reversible dawsonite formation on alkali promoted alumina: a cheap sorbent for CO2 capture. Eur. J. Inorg. Chem. 2010, 2461–2464.Google Scholar
Walton, R. I. & O'Hare, D. (2000). Watching solids crystallise using in situ powder diffraction. Chem. Commun. pp. 2283–2291.Google Scholar
Watanabe, T. & Sato, T. (1988). Expansion characteristics of montmorillonite and saponite under various relative humidity conditions. Clay Sci. 7, 129–138.Google Scholar
Wragg, D. S., O'Brien, M. G., Bleken, F. L., Di Michiel, M., Olsbye, U. & Fjellvåg, H. (2012). Watching the methanol-to-olefin process with time- and space-resolved high-energy operando X-ray diffraction. Angew. Chem. Int. Ed. 51, 7956–7959.Google Scholar
Wragg, D. S., O'Brien, M. G., Di Michiel, M. & Lønstad-Bleken, F. (2015). Rietveld analysis of computed tomography and its application to methanol to olefin reactor beds. J. Appl. Cryst. 48, 1719–1728.Google Scholar

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