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LCT pegmatites: The application of RAMAN spectroscopy Sophie - PowerPoint PPT Presentation

Rapid field identification of mineral phases in LCT pegmatites: The application of RAMAN spectroscopy Sophie Perring, 4/09/2019 Co-author: Dr Nigel Brand The Problem! LCT pegmatites Many minerals are anhydrous Not SWIR active


  1. Rapid field identification of mineral phases in LCT pegmatites: The application of RAMAN spectroscopy Sophie Perring, 4/09/2019 Co-author: Dr Nigel Brand

  2. The Problem!

  3. LCT pegmatites • Many minerals are anhydrous – Not SWIR active • Lithium silicates are of economic value ‒ Not detectable by XRF • Raman can readily identify dominant and associated pegmatite minerals: • Quartz, most feldspars, white micas, Li-bearing minerals, pollucite, garnet, topaz, beryl, carbonates, apatite, etc. • Pioneer Resources Sinclair Mine: • 8 000 Drill hole samples • 2 000 Grade control samples • Small case studies

  4. • Monochromatic light from a laser is directed onto a What is Raman sample • Most of the light scatters and remains the same frequency (Rayleigh) • A small percentage of the light shifts frequency as a result of chemical vibration of bonds in a mineral (Raman) 707 cm -1 2000 • Raman measures this subtle frequency shift: Raman Shift • The vibrations are unique to the substance → 1500 ‘Fingerprint’ spectrum • Can identify the material Spodumene 1000 500 Rayleigh scatter 0 400 500 600 700 800 900 1000 1100 1200 Raman scatter

  5. Raman library spectral match confirms spodumene How does it work? 707 cm -1 • Spectral database of reference material • Custom LCT-pegmatite library of over 300 spectra covering 56 minerals and key mixtures • Non-destructive mineral identification • No sample prep • Mineral samples doesn’t have to be dry • Analysis times vary from 30 seconds to 5 minutes

  6. The Problem!

  7. The Solution 2500 2500 3000 2000 2000 2000 2000 2500 2000 1500 1500 1500 1500 1500 1000 1000 1000 1000 1000 500 500 500 500 500 0 0 400 600 800 1000 1200 1400 1600 400 600 800 1000 1200 1400 1600 400 600 800 1000 1200 1400 1600 400 600 800 1000 1200 1400 1600 400 600 800 1000 1200 1400 1600 2500 2500 2500 2500 2000 2000 2000 2000 2000 1500 1500 1500 1500 1500 1000 1000 1000 1000 1000 500 500 500 500 500 400 600 800 1000 1200 1400 1600 400 600 800 1000 1200 1400 1600 400 600 800 1000 1200 1400 1600 400 600 800 1000 1200 1400 1600 400 600 800 1000 1200 1400 1600

  8. The Solution 2500 2500 3000 2000 2000 2000 2000 2500 2000 1500 1500 1500 1500 1500 1000 1000 1000 1000 1000 Beryl Petalite Albite, Quartz Pollucite Eucryptite 500 500 500 500 500 0 0 400 600 800 1000 1200 1400 1600 400 600 800 1000 1200 1400 1600 400 600 800 1000 1200 1400 1600 400 600 800 1000 1200 1400 1600 400 600 800 1000 1200 1400 1600 2500 2500 2500 2500 2000 2000 2000 2000 2000 1500 1500 1500 1500 1500 1000 1000 1000 1000 1000 Microcline Albite Spodumene Amblygonite Quartz 500 500 500 500 500 400 600 800 1000 1200 1400 1600 400 600 800 1000 1200 1400 1600 400 600 800 1000 1200 1400 1600 400 600 800 1000 1200 1400 1600 400 600 800 1000 1200 1400 1600

  9. The Application

  10. The Application

  11. Pollucite

  12. Pollucite Petalite

  13. Pollucite Petalite Eucryptite

  14. Raman Applications • Applied to RC Chips, diamond core or hand specimens • Identify the dominant mineralogy • Immediate verification or identification • Geologist logging • Grade control • Identifying mineral zones down a drill hole • Mapping mineral deposits

  15. Bruker BRAVO • Field portable • Class 1M laser product (safe for all conditions of use) • Duo LASER™ (785 and 1064 nm) • Spectral range 300 – 3200 cm -1 • SSE™ (Sequentially Shifted Excitation) ‒ Fluorescence elimination Charoy, B., Noronha, F. and Lima, A., (2001) The Canadian Mineralogist , 39 (3), pp.729-746.

  16. Mica discrimination Feature Extraction Spectral Feature 2 Mica 1 Mica 2 • Specialised spectral feature analysis Spectral Feature 1 Feldspar discrimination • Peak position, width and height can provide further mineralogical insight Feldspar 1 Feldspar 2 • Improves upon the automated matching of bulk Spectral Feature 2 spectra • Aids the delineation of related minerals Spectral Feature 1

  17. • Mineral identification within minutes Quick Analysis • Can differentiate between visually similar minerals e.g. white silicates • Can apply mineral identification to current and future occurrences when logging core

  18. Quick Analysis 314.63 385.87 518.34 600.02 630.90 685.69 689.77 778.41 781.80 935.98 986.38 1078.42 2500 Sinclair Dome Sample • Minerals that had previously not been observed or 2000 Reference Prehnite Spectrum described for the deposit were identified 1500 Quartz Peak • Previously classed as a Ca-rich plagioclase 1000 500 • Identified as a separate calcium silicate mineral (Prehnite) 0 400 600 800 1000 1200 1400 1600 1800 Wavenumber cm-1

  19. Log Drill Holes • Can identify the dominant mineral components • Identify mineral zones down hole • Can be applied to grade control in conjunction with pXRF during ore extraction

  20. Mapping • Provide data for mineral mapping • Gives comprehensive mineral overviews • Can be used to modify alteration maps in preparation for further exploration

  21. Potassium > 5% K 2 O

  22. K-feldspar (Raman)

  23. Potassium > 5% K2O & K-feldspar (Raman)

  24. Sodium (>5% Na2O)

  25. Plagioclase(Na) (Raman)

  26. Sodium (>5% Na2O); Plagioclase(Na) (Raman)

  27. Raman K-feldspar, Plagioclase(Na)

  28. • Field portable • Non-destructive • No sample prep required Summary • Rapid mineral verification • Rapid mineral identification • Mineral mapping • Discovery

  29. Acknowledgments Pioneer Resources Limited - David Crook and the geological staff are thanked for their assistance and encouragement of this project. Portable Spectral Services personnel, in particular Evangeline Burton and Emma Brand are thanked for assisting in collecting the data set and Nick Jenson for developing the “proof of concept” on LCT pegmatites. For more information on Raman spectroscopy visit: georaman.com OR portaspecs.com

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