| Autor: |
Havisto, Jari, Lindström, Hannu, Uusitalo, Sanna, Heilala, Bryan, Muller, Simon, Pons Perez, Juan Manuel, Garcia Pina, Carlos |
| Jazyk: |
angličtina |
| Rok vydání: |
2021 |
| Předmět: |
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| Zdroj: |
Havisto, J, Lindström, H, Uusitalo, S, Heilala, B, Muller, S, Pons Perez, J M & Garcia Pina, C 2021, Time-gated Raman spectroscopy as mineral analysis tool in multi-sensor Ancorelog drill core logger . in 11th International Conference on Advanced Vibrational Spectroscopy : Abstract Book . pp. 198, 11th International Conference on Advanced Vibrational Spectroscopy, ICAVS 11, 23/08/21 . < https://icavs.org/public/files/1ABSTRACT_BOOK_ICAVS.pdf > |
| Popis: |
Modern mining industry undergoes extensive drilling campaigns during exploration, mining, processing and recycling of raw materials. There is a growing demand for more precise and automated digital processes to reduce the needed time, cost and labour of ore exploration and handling. A precise and analytical drill core logging process utilising multi-sensor approach could provide fast and timely method for mineralogy tracking. Most of the conventional spectroscopic methods in drill core analysis reveal their elemental information. This information can be used to create models and predict the mineralogy, but it does suffer from the inability to detect the molecular bonds and autonomously build precise predictions. Elemental information requires background information on the sample mineralogy to be able to build the models and it can be disturbed by similar mineral consistencies. Raman spectroscopy is a good support for data fusion with elemental spectroscopy such as XRF and LIBS, because it can indicate the molecular bonds instead of elements [1]. However, the conventional Raman spectrometers have limited amount of minerals they can distinguish, because the fluorescence of the sample can lower the detection sensitivity or sometimes overflow the signal entirely. This problem is common especially in minerals. A solution for reducing the elevated signal background comes in the form of time-gated Raman spectroscopy [2]. This technology uses short laser pulses to excite the sample and measures the scattered radiation in short time-window before the slower timescale phenomena, fluorescence, has time to manifest. In many cases, this can eliminate the fluorescence background and bring on to view spectral features that are commonly hidden or weak using traditional Raman techniques. In this study, timegated PicoRaman M2 spectrometer, utilizing 532 nm pulsed excitation laser, is integrated to a multi-sensor Ancorelog drill core logger solution as a mineral identification tool. The measurement utilises an auto-focus probe developed at VTT with ability to set the system in focus autonomously during measurements. In addition, a mineral identification software is developed for automated identification of minerals using Raman spectroscopy. The solution utilizes reference spectra from the RRUFF online database of minerals [3]. A classification model correlates the measured spectra with reference spectra, which are selected using expert knowledge of the sample mineralogy. The correlation utilizes a dot product between the spectra as a metric. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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