Articles | Volume 6, issue 2
https://doi.org/10.5194/gi-6-429-2017
https://doi.org/10.5194/gi-6-429-2017
Research article
 | Highlight paper
 | 
18 Oct 2017
Research article | Highlight paper |  | 18 Oct 2017

Automated mineralogy based on micro-energy-dispersive X-ray fluorescence microscopy (µ-EDXRF) applied to plutonic rock thin sections in comparison to a mineral liberation analyzer

Wilhelm Nikonow and Dieter Rammlmair

Related authors

The effect of chemical variability and weathering on Raman spectra of enargite and fahlore
Khulan Berkh, Juraj Majzlan, Jeannet A. Meima, Jakub Plášil, and Dieter Rammlmair
Eur. J. Mineral., 35, 737–754, https://doi.org/10.5194/ejm-35-737-2023,https://doi.org/10.5194/ejm-35-737-2023, 2023
Short summary
The effect of Co substitution on the Raman spectra of pyrite: potential as an assaying tool
Khulan Berkh and Dieter Rammlmair
Eur. J. Mineral., 34, 259–274, https://doi.org/10.5194/ejm-34-259-2022,https://doi.org/10.5194/ejm-34-259-2022, 2022
Short summary

Related subject area

Ground-based instruments
Development of a power station unit in a distributed hybrid acquisition system of seismic and electrical methods based on the narrowband Internet of Things (NB-IoT)
Feng Guo, Qisheng Zhang, and Shenghui Liu
Geosci. Instrum. Method. Data Syst., 12, 111–120, https://doi.org/10.5194/gi-12-111-2023,https://doi.org/10.5194/gi-12-111-2023, 2023
Short summary
Spectral observations at the Canary Island Long-Baseline Observatory (CILBO): calibration and datasets
Joe Zender, Detlef Koschny, Regina Rudawska, Salvatore Vicinanza, Stefan Loehle, Martin Eberhart, Arne Meindl, Hans Smit, Lionel Marraffa, Rico Landman, and Daphne Stam
Geosci. Instrum. Method. Data Syst., 12, 91–109, https://doi.org/10.5194/gi-12-91-2023,https://doi.org/10.5194/gi-12-91-2023, 2023
Short summary
Calculation of soil water content using dielectric-permittivity-based sensors – benefits of soil-specific calibration
Bartosz M. Zawilski, Franck Granouillac, Nicole Claverie, Baptiste Lemaire, Aurore Brut, and Tiphaine Tallec
Geosci. Instrum. Method. Data Syst., 12, 45–56, https://doi.org/10.5194/gi-12-45-2023,https://doi.org/10.5194/gi-12-45-2023, 2023
Short summary
The land–atmosphere feedback observatory: a new observational approach for characterizing land–atmosphere feedback
Florian Späth, Verena Rajtschan, Tobias K. D. Weber, Shehan Morandage, Diego Lange, Syed Saqlain Abbas, Andreas Behrendt, Joachim Ingwersen, Thilo Streck, and Volker Wulfmeyer
Geosci. Instrum. Method. Data Syst., 12, 25–44, https://doi.org/10.5194/gi-12-25-2023,https://doi.org/10.5194/gi-12-25-2023, 2023
Short summary
Design and construction of an automated and programmable resistivity meter for shallow subsurface investigation
Antenor Oliveira Cruz Júnior, Cosme Ferreira da Ponte-Neto, and André Wiermann
Geosci. Instrum. Method. Data Syst., 12, 15–23, https://doi.org/10.5194/gi-12-15-2023,https://doi.org/10.5194/gi-12-15-2023, 2023
Short summary

Cited articles

Belissont, R., Muñoz, M., Boiron, M.-C., Luais, B., and Mathon, O.: Distribution and oxidation state of Ge, Cu and Fe in sphalerite by µ-XRF and K-edge µ-XANES: insights into Ge incorporation, partitioning and isotopic fractionation, Geochim. Cosmochim. Acta, 177, 298–314, 2016.
Carr, J. R. and Hibbard, M.: Open-ended mineralogical/textural rock classification, Comput. Geosci., 17, 1409–1463, 1991.
Congalton, R. G.: A review of assessing the accuracy of classifications of remotely sensed data, Remote Sens. Environ., 37, 35–46, 1991.
Croudace, I. W. and Rothwell, R. G.: Micro-XRF Studies of Sediment Cores: Applications of a non-destructive tool for the environmental sciences, Springer, 2015.
Deer, W., Howie, R., and Zussman, J.: An introduction to the rock-forming minerals, The Mineralogical Society, London, 2013.
Download
Short summary
This work describes a new approach to use fast X-ray fluorescence mapping as a tool for automated mineralogy applied on thin sections of plutonic rocks. Using a supervised classification of the spectral information, mineral maps are obtained for modal mineralogy and image analysis. The results are compared to a conventional method for automated mineralogy, which is scanning electron microscopy with mineral liberation analyzer, showing a good overall accuracy of 76 %.