Near-liquidus growth of feldspar spherulites in trachytic melts: 3D morphologies and implications in crystallization mechanisms
Introduction
Spherulites are confocal radial polycrystalline aggregates that commonly occur in a wide variety of materials crystallized under highly non-equilibrium conditions (Gránásy et al., 2005, Watkins et al., 2009). In geology, spherulitic textures observed in volcanic rocks (Baker and Freda, 2001, Breitkreuz, 2013, Castro et al., 2008, Clay et al., 2012, Keith and Padden, 1963, Lofgren, 1971a, Monecke et al., 2004, Seaman, 2013, Smith et al., 2001, Watkins et al., 2009), typically consist of radiating structure that can be formed by alkali feldspar, plagioclase, cristobalite and pyroxene (Lofgren, 1971a). Polymineralic spherulitic aggregates, such as intergrowths of quartz, feldspar and magnetite (Castro et al., 2008, Seaman, 2013), or feldspar, pyroxene and biotite (Kesler and Weiblen, 1968) are quite common in silicate melts. The formation conditions of spherulitic textures in natural silicate materials are still much debated, with some studies suggesting subsolidus formation (Lofgren, 1971a) and others suggesting formation from strongly undercooled liquids (Fenn, 1977, Swanson, 1977).
Understanding the growth of spherulites as a function of temperature (T), undercooling (ΔT = Tliquidus − Texperimental), pressure (PH2O) and superheating (− ΔT = Tabove liquidus − Tliquidus) is critical to investigations of the physical–chemical conditions required for spherulite growth. Previous studies have shown that spherulitic shapes are strongly dependent on ∆T and cooling rate (Fenn, 1977, Lofgren, 1974). Spherulitic growth as a function of cooling could include a primary crystallization at high undercooling (∆T > 200 °C), resulting in a rapid crystallization above the glass transition temperature (Tg) (Baker and Freda, 2001, Castro et al., 2008, Clay et al., 2012, Dunbar et al., 1995, Fenn, 1977, Monecke et al., 2004, Smith et al., 2001, Swanson, 1977), or hydration and devitrification below Tg (Castro et al., 2008, Lofgren, 1971a, Lofgren, 1971b, Stasiuk et al., 1996, Swanson et al., 1989, Watkins et al., 2009).
To study the crystallization of spherulitic alkali feldspar in trachytic melts a dual approach was employed. The first one was to study three-dimensional features of spherulitic textures from a previous experimental study (Arzilli and Carroll, 2013) in order to obtain information about their shapes, morphologies of lamellae and the nucleation mechanisms. The second one was to obtain the Crystal Preferred Orientation (CPO) through electron backscatter diffraction (EBSD) technique. The latter approach employs EBSD analysis to examine the incipient stages of alkali feldspar crystallization within spherulites. The complementary nature of a technique able to provide 3D morphometric information (synchrotron X-ray computed microtomography) with a technique focused at getting crystallographical information (EBSD) through 2D images, allowed us to obtain crucial information on the nucleation mechanism (homogeneous vs heterogeneous) at the scale of 1 μm and its influence on the growth and twinning.
3D textural analysis is a powerful tool to derive crystal shapes and preferred orientations based on the morphology of the objects: a Shape Preferred Orientation (SPO). Depending on the relationship between shape and crystallographic orientation SPO and CPO might or might not be related, and the two approaches for texture analysis are complementary (Zucali et al., 2014). In this work a novel approach for the microtomographic data analysis has been employed: the synchrotron X-ray microtomography data were collected taking advantage of the coherence of synchrotron X-rays to obtain a phase contrast effect (in “near field” conditions) due to free space propagation to highlight the interfaces between feldspars and glass. This effect provides an edge enhancement that aids the visualization, compared to more “pure absorption” experimental setups (Baker et al., 2012). On the other hand, phase-contrast artifacts are a significant problem when trying to obtain volumes with binary data that commonly are the starting point for morphometric analysis. The density contrast between feldspars and glass is too weak to provide a good separation of the two materials. Single distance phase-retrieval algorithms can be employed on this kind of dataset to obtain two main results: i) the effect of the phase-contrast artifacts is canceled (in ideal cases) or at least reduced; and ii) the phase information retrieved provides a better contrast in the reconstructed images. The consequence of this processing is generally a slight blurring of images, since acquiring conditions can be quite far from the ideal ones (~ homogeneous monophase “phase objects” and perfectly monochromatic X-ray beam). These algorithms can be employed, with some caution, even on dense materials and with polychromatic light (e.g., Meyers et al., 2007). Our results show for the first time the application of such algorithms on rocks in a case where the application is crucial in providing a segmentable dataset for quantitative analysis.
Section snippets
Sample preparation and experimental conditions
The data on spherulites were extracted from results of the experimental study of Arzilli and Carroll (2013). Dynamic crystallization experiments, performed by Arzilli and Carroll (2013), were used to study the crystallization of alkali feldspar spherulites. In detail, cooling, isothermal decompression and “cooling + decompression” experiments were performed by Arzilli and Carroll (2013) to investigate crystallization kinetics of alkali feldspar in trachytic melts. During cooling experiments,
Conditions of growth
In order to discuss the growth conditions of spherulites we show the results of Arzilli and Carroll (2013) about the appearance of these morphologies. The results of cooling, “decompression + cooling” and isothermal decompression experiments performed by Arzilli and Carroll (2013) show that spherulites were present at: i) high pressures between 70 and 200 MPa (except D81 at 50 MPa) (Fig. 3), associated with water contents between ~ 3 and 7 wt.% in the melt; ii) low to medium ∆T between ~ 15 and 70 °C (
Conclusions and implications
The combination of PC mCT and phase-retrieval processing allowed us to separate alkali feldspars from the trachytic glass. The phase retrieval approach proved to dramatically increase the data quality from a segmentation point of view, especially for those samples in which the absorption contrast was low. Therefore, the single-distance phase retrieval algorithms can be used in samples where a better contrast of the different phases is needed, and in situations far from the ideal ones required
Acknowledgements
We thank the anonymous reviewer, T. Shea and the editor for many constructive comments that significantly improved our paper. We are grateful to C. Zanolli (ICTP) for useful advice on Amira® software. We wish to thank D. Dreossi and D. R. Baker for helpful discussions. We would like to thank P. Scarlato, C. Freda and A. Cavallo for assistance with the SEM at INGV, Rome. We also grateful to M. W. Schmidt for allowing us to use the SEM at ETH of Zurich (Institute of Geochemistry and Petrology).
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