Skip to main content

Micro-analytical Technologies for Mineral Mapping and Trace Element Deportment

  • Chapter
  • First Online:
Book cover Environmental Indicators in Metal Mining

Abstract

Quantifying the texture , mineralogy and mineral chemistry of rocks in the mine environment is required to predict the value of a deposit and maximize extraction efficiency. Scanning electron microscopy supported by recognition of minerals by characteristic X-ray emissions is the preferred mineral mapping method in the mining industry at present. This system is fully mature and supported by highly optimized software. Laser Raman mapping may compete for some of this space in the future. Very coarse scale mineral maps are possible from drill core images but these cannot be used to measure the key parameters required for most mine planning. Trace elements can be highly concentrated in rare minerals so that they are easy to detect but very difficult to accurately measure due to sampling problems, or they may be very dispersed and difficult to detect at all. There are a range of tools available to support trace element deportment and most studies will need to use more than one methodology. The key new development of the last decade is the emergence of laser ablation inductively coupled plasma mass spectrometry for the measurement of most elements at sub-ppm level. There are still many trace and minor elements for which accurate models of deportment are extremely difficult.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 129.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 169.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 169.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  • Berry RF, Hunt J (2011) Grain size in geometallurgy: review of progress. Geometallurgical mapping and mine modelling (AMIRA P843A). Technical Report 8, pp 61–75, Nov 2011

    Google Scholar 

  • Berry RF, Walters SG, McMahon C (2008) Automated mineral identification by optical microscopy. In: Ninth International Congress for Applied Mineralogy, Brisbane, pp 91–94

    Google Scholar 

  • Das S, Henry MJ (2011) Application of Raman spectroscopy to identify iron minerals commonly found in mine wastes. Chem Geol 290:101–108

    Article  Google Scholar 

  • Dominy SC, Platten IM, Howard LE, Elangovan P, Armstrong R, Minnitt RCA, Abel RL (2011) Characterisation of gold ores by X-ray computed tomography—part 2: applications to the determination of gold particle size and distribution. In: Dominy SC (ed) First AusIMM international geometallurgy conference (GeoMet) 2011, pp 293–309

    Google Scholar 

  • Donovan JJ (2011) High sensitivity EPMA: past, present and future. Microsc Microanal 17:560–561

    Article  Google Scholar 

  • Fandrich R, Gu Y, Burrows D, Moeller K (2007) Modern SEM-based mineral liberation analysis. Int J Mineral Process 84:310–320

    Article  Google Scholar 

  • Filippi M, Doušová B, Machovič V (2007) Arsenic in contaminated soils and anthropogenic deposits at the Mokrsko, Roudný, and Kašperské Hory gold deposits, Bohemian Massif CZ. Geoderma 139:154–170

    Article  Google Scholar 

  • Filippi M, Machovič V, Drahota P, Böhmová V (2009) Raman micro-spectroscopy as a valuable additional method to XRD and EMPA in study of iron arsenates in environmental samples. Appl Spectroscop 63:621–626

    Article  Google Scholar 

  • Firsching M, Nachtrab F, Mühlbauer J, Uhlmann N (2012) Detection of enclosed diamonds using dual energy X-ray imaging. In: 18th World conference on nondestructive testing, 16–20 April 2012, Durban, South Africa, pp 1–7

    Google Scholar 

  • Geelhoed B (2011) Is Gy’s formula for the fundamental sampling error accurate? Experimental evidence. Min Eng 24:169–173

    Article  Google Scholar 

  • Goodall WR, Scales PJ (2007) An overview of the advantages and disadvantages of the determination of gold mineralogy by automated mineralogy. Min Eng 20:506–517

    Article  Google Scholar 

  • Gottlieb P, Wilkie G, Sutherland D, Ho-Tun E, Suthers S, Perera K, Jenkins B, Spencer S, Butcher A, Rayner J (2000) Using quantitative electron microscopy for process mineralogy applications. JOM 52:24–25

    Article  Google Scholar 

  • Gu Y (2003) Automated scanning electron microscope based mineral liberation analysis. J Min Mat Charact Eng 2:33–41

    Google Scholar 

  • Helm M, Vaughan J, Staunton WP, Avraamides J (2009) An investigation of the carbonaceous component of preg-robbing gold ores. World gold conference 2009, The Southern African Institute of Mining and Metallurgy, 2009

    Google Scholar 

  • Higgins MD (2006) Quantitative textural measurements in igneous and metamorphic petrology. Cambridge University Press, Cambridge

    Google Scholar 

  • Hope GA, Woods R, Munce CG (2001) Raman microprobe mineral identification. Min Eng 14:1565–1577

    Article  Google Scholar 

  • Howell PGY, Davy KMW, Boyde A (1998) Mean atomic number and backscattered electron coefficient: calculations for some materials with low mean atomic number. Scanning 20:35–40

    Article  Google Scholar 

  • Huang Q, McConnell LL, Razote E, Schmidt WF, Vinyard BT, Torrents A, Hapeman CJ, Maghirang R, Trabue SL, Prueger J, Ro KS (2013) Utilizing single particle Raman microscopy as a non-destructive method to identify sources of PM10 from cattle feedlot operations. Atmos Environ 66:17–24

    Article  Google Scholar 

  • Hubbell JH, Seltzer SM (1996) Tables of X-ray mass attenuation coefficients and mass energy-absorption coefficients from 1 keV to 20 MeV for elements Z = 1 to 92 and 48 additional substances of dosimetric interest. NIST. http://www.nist.gov/pml/data/xraycoef/index.cfm/

  • Knackstedt MA, Latham S, Madadi M, Sheppard A, Varslot T, Arns C (2009) Digital rock physics: 3D imaging of core material and correlations to acoustic and flow properties. Lead Edge 28:28–33

    Article  Google Scholar 

  • Kyle JR, Ketcham RA (2015) Application of high resolution X-ray computed tomography to mineral deposit origin, evaluation, and processing. Ore Geol Rev 65:821–839

    Article  Google Scholar 

  • Lane GR, Martin C, Pirard E (2008) Techniques and applications for predictive metallurgy and ore characterization using optical image analysis. Min Eng 21:568–577

    Article  Google Scholar 

  • Levitan D, Hammarstrom JM, Gunter ME, Seal RR, Choul IM, Piatek N (2009) Mineralogy of mine waste at the Vermont asbestos group mine, Belvidere Mountain, Vermont. Am Miner 94:1063–1066

    Article  Google Scholar 

  • Pirard E (2004) Multispectral imaging of ore minerals in optical microscopy. Min Mag 68:323–333

    Article  Google Scholar 

  • Pirard E, Lebichot S, Kreir W (2007) Particle texture analysis using polarized light imaging and grey level intercepts. Int J Miner Process 84:299–309

    Article  Google Scholar 

  • Plumlee GS (1999) The environmental geology of mineral deposits. In: Plumlee GS, Logsdon MJ (eds) The environmental geochemistry of mineral deposits part A: processes, techniques and health issues. Rev Econ Geol 6A:71–116

    Google Scholar 

  • Ritchie NWM, Newbery DE, Davis JM (2012) EDS measurements of X-ray intensity at WDS precision and accuracy using a silicon drift detector. Micros Microanal 18:892–904

    Article  Google Scholar 

  • Ryan CG (2000) Quantitative trace element imaging using PIXE and the nuclear microprobe. Int J Imag Sys Technol 11:219–230

    Article  Google Scholar 

  • Smart RStC, Miller SD, Stewart WS, Rusdinar Y, Schumann RE, Kawashima N, Li J (2010) In situ calcite formation in limestone-saturated water leaching of acid rock waste. Sci Total Environ 408: 3392–3402

    Google Scholar 

  • Smee BW, Stanley CR (2005) Sample preparation of ‘nuggety’ samples: dispelling some myths about sample size and sampling errors. Explore 126:21–26

    Google Scholar 

  • Smith KS, Huyck HLO (1999) An overview of the abundance, relative mobility, bioavailability, and human toxicity of metals. In: Plumlee GS, Logsdon MJ (eds) The environmental geochemistry of mineral deposits part A: processes, techniques and health issues. Rev Econ Geol 6A:29–70

    Google Scholar 

  • Stefaniak E, Alsecz A, Frost R, Mathe Z, Sajo IE, Torok S, Worobiec A, Griekent R (2009) Combined SEM/EDX and micro-Raman spectroscopy analysis of uranium minerals from a former uranium mine. J Hazard Mat 168:416–423

    Article  Google Scholar 

  • Sutherland D (2007) Estimation of mineral grain size using automated mineralogy. Min Eng 20:452–460

    Article  Google Scholar 

  • Wark DA, Watson BE (2006) TitaniQ: a titanium in quartz geothermometer. Contrib Mineral Petrol 152:743–754

    Article  Google Scholar 

  • Weber PA, Stewart WA, Skinner WM, Weisener CG, Thomas JE, Smart RStC (2004) Geochemical effects of oxidation products and framboidal pyrite oxidation in acid mine drainage prediction techniques. Appl Geochem 19: 1953–1974

    Google Scholar 

  • Weisener CG, Weber PA (2010) Preferential oxidation of pyrite as a function of morphology and relict texture. NZ J Geol Geophys 53:22–33

    Article  Google Scholar 

  • Wopenka B, Pasteris JD (1993) Structural characterisation of kerogens to granulite-facies graphite: applicability of Raman microprobe spectroscopy. Am Miner 78:533–557

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Ron F. Berry .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2017 Springer International Publishing Switzerland

About this chapter

Cite this chapter

Berry, R.F., Danyushevsky, L.V., Goemann, K., Parbhakar-Fox, A., Rodemann, T. (2017). Micro-analytical Technologies for Mineral Mapping and Trace Element Deportment. In: Lottermoser, B. (eds) Environmental Indicators in Metal Mining. Springer, Cham. https://doi.org/10.1007/978-3-319-42731-7_4

Download citation

Publish with us

Policies and ethics