Knowledge of the mine resource base is one of the most important assets a mine has. Currently, the information of the resource base and mineral composition is collected and determined by off-line laboratory analysis. Sample pre-treatment prevents obtaining real time results and thus process monitoring and controlling efficiency is not optimized.
This does not have to be this way anymore. Raman spectroscopy provides a fast and easy-to-use method for mineral identification and concentration quantifications revealing each material’s unique spectral fingerprint, the Raman spectrum. SpectOre product family is based on Timegated® Raman technology. It provides reliable, real time mineralogical information – fast, accurate and on-line without any sampling errors.
Raman Spectroscopy in mining industry
Raw material variability causes uncertainty in managing of the natural resource being mined. Separation of the valuable minerals from waste rock and gangue can save lots of money. Currently, determining mineralogical composition is based on off-line, laboratory analyses. For efficient, real-time, on-line / in-line mineralogical analysis for quality and process control purposes as well as for resource identification, SpectOre product family provides a viable solution.
Raman technology offers several useful advantages for process monitoring. Until now, the fluorescence emission has been a major limitation for the wider adaptation of using Raman spectroscopy in process applications. Time-gated Raman technology offers real-time information about mineral composition of processed material flows. SpectOre instrument can analyze and monitor the flotation process in mineral enrichment plant.
High temperatures are often challenging for spectroscopic analysis. Time-gated Raman technology does not suffer from thermal background emission, but can be used also at high temperatures.
Timegate has successfully measured spodumene conversion rate during batch kiln furnace tests, where the alpha spodumene concentration was heated up to 1000 ° C to yield beta spodumene. The information is needed for efficient conversion parameter optimization. See more about this application area in the Case Study of Keliber Lithium Project.