11 research outputs found

    Th-U-total Pb timing constraints on the emplacement of the granitoid pluton of Stolpen, Germany

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    Monazite from the Stolpen monzogranite (SE Germany) was studied to constrain the Th-U-total Pb age of pluton formation. Monazite grains demonstrate subtle to distinct patchy zoning related to slight compositional variations. Textural and compositional characteristics indicate that the monazite formed in a single magmatic event in a slightly heterogeneous system, and was only weakly affected by secondary alteration, which did not disturb the Th-U-Pb system. Chemical dating of the monazite gave a consistent age of 299 ± 1.7 Ma. The current study presents the first geochronological data for the Stolpen granite. It provides evidence that Stolpen is the youngest Variscan granitic intrusion in the Lusatian Granodiorite Complex and indicates that magmatic activity related to post-collisional extension in this region lasted at least 5my longer than previously assumed

    Spectral X‐ray computed micro tomography : 3‐dimensional chemical imaging

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    We present a new approach to 3-dimensional chemical imaging based on X-ray computed micro tomography (CT), which enables the analysis of the internal elemental chemistry. The method uses a conventional laboratory-based CT scanner equipped with a semiconductor detector (CdTe). Based on the X-ray absorption spectra, elements in a sample can be distinguished by their specific K-edge energy. The capabilities and performance of this new approach are illustrated with different experiments, i.e. single pure element particle measurements, element differentiation in mixtures, and mineral differentiation in a natural rock sample. The results show that the method can distinguish elements with K-edges in the range of 20 to 160 keV, this corresponds to an element range from Ag to U. Furthermore, the spectral information allows a distinction between materials, which show little variation in contrast in the reconstructed CT image

    The coexixtence of melts of hydrous copper chloride, sulfide and silicate compositions in a magnesiohastingsite cumulate, Tubaf seamount, Papua Neu Guinea

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    Direct evidence for a Cu–Cl-salt-hydrate melt in equilibrium with a complex system of silicate melts was found in a xenolith of magnesiohastingsite-dominant cumulate from the TUBAF Seamount, near Lihir Island, in Papua New Guinea. The cumulate formed less than 1.5 Ma ago in a magma chamber in the oceanic crust. Petrographic observations give evidence for the coexistence of two different silicate melts, a Cu–Fe–S melt, the salt-hydrate melt and a vapor phase as an intercumulus assemblage. The salt-hydrate melt crystallized to clinoatacamite, whereas the only mineral crystallizing from the silicate melt was hydroxylapatite. The two observed silicate melts are of trachyandesitic-tephriphonolitic and foiditic composition, clearly different from the trachybasaltic host-magma. Exsolution of the Cu–Fe–S melt likely took place in the temperature range between 960° and 557°C. Its chemical composition ranges between chalcopyrite and intermediate solid-solution (Iss). On the basis of experimental data of other salt-hydrate – silicate melt systems, the unmixing of the Cu–Cl-salt-hydrate melt must have taken place below 800°C. This unmixing demonstrates how metal-enriched magmatic fluids can enter pre-existing hydrothermal systems

    Certification of Meissen Granite IAG GMN‐1 Using the GeoPT Proficiency Testing Certification Protocol

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    Following a full assessment of the GeoPT proficiency testing scheme against the recommendations in ISO Guide 35:2017 for the use of proficiency testing in the certification of reference materials, this paper presents the first application of the GeoPT certification protocol in the characterisation of a new geochemical CRM, IAG GMN-1, Meissen Granite. This protocol is applied to the measurement results reported in Round 51 of the GeoPT programme in which the candidate CRM was used as the test material, together with an established CRM (CGL 008 MGT-1 Granite) to provide validation of the results. Following the presentation of mineralogy, grain-size analysis and homogeneity testing data for IAG GMN-1, certified values for nine major elements and thirty-nine trace elements are reported

    Spectral Tomography for 3D Element Detection and Mineral Analysis

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    This paper demonstrates the potential of a new 3D imaging technique, Spectral Computed Tomography (sp-CT), to identify heavy elements inside materials, which can be used to classify mineral phases. The method combines the total X-ray transmission measured by a normal polychromatic X-ray detector, and the transmitted X-ray energy spectrum measured by a detector that discriminates between X-rays with energies of about 1.1 keV resolution. An analysis of the energy spectrum allows to identify sudden changes of transmission at K-edge energies that are specific of each element. The additional information about the elements in a phase improves the classification of mineral phases from grey-scale 3D images that would be otherwise difficult due to artefacts or the lack of contrast between phases. The ability to identify the elements inside the minerals that compose ore particles and rocks is crucial to broaden the application of 3D imaging in Earth sciences research and mineral process engineering, which will represent an important complement to traditional 2D imaging mineral characterization methods. In this paper, the first applications of sp-CT to classify mineral phases are showcased and the limitations and further developments are discussed

    Comparison of Elemental Analysis Techniques for the Characterization of Commercial Alloys

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    Better quality control for alloy manufacturing and sorting of post-consumer scraps relies heavily on the accurate determination of their chemical composition. In recent decades, analytical techniques, such as X-ray fluorescence spectroscopy (XRF), laser-induced breakdown spectroscopy (LIBS), and spark optical emission spectroscopy (spark-OES), found widespread use in the metal industry, though only a few studies were published about the comparison of these techniques for commercially available alloys. Hence, we conducted a study on the evaluation of four analytical techniques (energy-dispersive XRF, wavelength-dispersive XRF, LIBS, and spark-OES) for the determination of metal sample composition. It focuses on the quantitative analysis of nine commercial alloys, representing the three most important alloy classes: copper, aluminum, and steel. First, spark-OES is proven to serve as a validation technique in the use of certified alloy reference samples. Following an examination of the lateral homogeneity by XRF, the results of the techniques are compared, and reasons for deviations are discussed. Finally, a more general evaluation of each technique with its capabilities and limitations is given, taking operation-relevant parameters, such as measurement speed and calibration effort, into account. This study shall serve as a guide for the routine use of these methods in metal producing and recycling industries

    Spectral X-ray computed micro tomography: 3-dimensional chemical imaging

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    We present a new approach to 3-dimensional chemical imaging based on X-ray computed micro tomography (CT), which enables the analysis of the internal elemental chemistry. The method uses a conventional laboratory-based CT scanner equipped with a semiconductor detector (CdTe). Based on the X-ray absorption spectra, elements in a sample can be distinguished by their specific K-edge energy. The capabilities and performance of this new approach are illustrated with different experiments, i.e. single pure element particle measurements, element differentiation in mixtures, and mineral differentiation in a natural rock sample. The results show that the method can distinguish elements with K-edges in the range of 20 to 160 keV, this corresponds to an element range from Ag to U. Furthermore, the spectral information allows a distinction between materials, which show little variation in contrast in the reconstructed CT image
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