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Tytuł artykułu

Qualitative identification of copper bearing minerals using near infrared sensors

Treść / Zawartość
Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
Application of sensors for on-site fast identification and discrimination of dominant ore bearing particles from associated gangues in a complex ore is an important route in minerals exploration and extraction industries. This paper considers identification and discrimination of copper bearing minerals from associated gangues using near infrared sensors. Different copper bearing minerals in the Akiri copper ore are differentiated on the basis of their near infrared spectra behaviour. The near infrared spectra of individual samples are correlated with their mineralogy and chemistry as analysed by X-Ray diffraction and X-Ray fluorescence equipment, respectively. The obtained results indicated that the detection limit of the near infrared sensor is better than that of both X-ray diffraction and X-ray fluorescence equipment used. Hence, in addition to the minerals identified by the X-ray diffraction equipment, other near infrared active minerals with concentration below the X-ray diffraction detection limit were also detected by the near infrared sensors.
Słowa kluczowe
Rocznik
Strony
620--633
Opis fizyczny
Bibliogr. 18 poz., rys., tab.
Twórcy
  • Department of Geology and Mineral Sciences, University of Ilorin, Ilorin, Nigeria
autor
  • Department of Geology and Mining, Nasarawa State University, Keffi, Nigeria
  • Camborne School of Mines, University of Exeter, Penryn Campus, Cornwall, TR10 9FE, UK
autor
  • Department of Geology and Mining, Nasarawa State University, Keffi, Nigeria
  • Camborne School of Mines, University of Exeter, Penryn Campus, Cornwall, TR10 9FE, UK
  • Department of Industrial Chemistry, Material and Environmental-Analytical Research Group, University of Ilorin, Ilorin, Nigeria
autor
  • Department of Geology and Mining, Nasarawa State University, Keffi, Nigeria
Bibliografia
  • AINES R.D., ROSSMAN G.R., 1984. Water in minerals? A peak in the infrared, J Geophys Res, 89 (B6) 4059-4071.
  • BISHOP J.L., DUMMEL A., 1996. The influence of fine-grained hematite powder on the spectral properties of Mars soil analogs; VIS-NIR bi-directional reflectance spectroscopy of mixtures. Lunar and Planetary Institute Science Conference Abstracts, Vol. 27.
  • BOKOBZA L., 1998. Near Infrared Spectroscopy. J Near Spectrosc, 6, 3-7
  • CLARK R.N., KING T.V.V., KLEJWA M., SWAYZE G.A., VERGO N., 1990, High spectral resolution reflectance spectroscopy of minerals. J. Geophys. Res., 95: 12653‒12680.
  • CLARK R.N., 1995, Reflectance spectra. In: Ahrens, T.J. (Ed.), Rock Physics and Phase: A Handbook of Physical Constants, Washington, American Geophysical Union, 178‒188.
  • CLARK R.N., SWAYZE G.A., WISE R., LIVO K.E., HOEFEN T.M., KOKALY R.F., SUTLEY S.J., 2003. USGS Digital Spectral Library splib05a, U.S. Geological Survey, Open File Report 03-395.
  • DALM M., BUXTON M.W., VAN RUITENBEEK F.J., VONCKEN J.H., 2014. Application of near-infrared spectroscopy to sensor based sorting of a porphyry copper ore. Miner. Eng., 58, 7-16.
  • FOLORUNSO I.O., BALE R.B., ADEKEYE J.I.D., 2015. The stratigraphy, petrology and structural evolution of Akiri and its environs, Middle Benue Trough, Nigeria. Journal of Science, Technology, Mathematics and Education 11(1), 95-108.
  • HUNT G.R., 1977. Spectral signatures of particulate minerals in the visible and near-infrared. Geophys, 42(3), 501‒513.
  • HUNT G.R., 1979. Near-infrared (1.3-2.4 μm) spectra of alteration minerals; potential for use in remote-sensing, Geophys., 44 (12) 1974-1986.
  • IYAKWARI S., GLASS H.J., 2015. Mineral preconcentration using near infrared sensor-based sorting, Physicochemical Problems of Mineral Processing 51(2), 661-674.
  • IYAKWARI S., GLASS H.J., 2014. Influence of mineral particle size and choice of suitable parameters for ore sorting using near infrared sensors. Miner. Eng., 69, 102-106.
  • IYAKWARI S., GLASS H. J., KOWALCZUK P.B., 2013. Potential for near infrared sensor-based sorting of hydrothermally-formed minerals. J. Near. Infrared Spectrosc., 21(3), 223-229.
  • LI L., WU Q., LI S., WU P., 2008. Study of the infrared spectral features of an epoxy curing mechanism. Appl. Spectrosc. 62(10), 1129-1136.
  • PASQUINI C., 2003. Near infrared spectroscopy: fundamentals, practical aspects and analytical applications. J. Braz. Chem. Soc., 14(2), 198‒219.
  • ROBB L., 2005. Introduction to ore-forming processes. Wiley-Blackwell.
  • SAVITZKY A., GOLAY M.J., 1964. Smoothing and differentiation of data by simplified least squares procedures. Anal. chem., 36(8), 1627-1639.
  • STARK E., LUCHTER K., 2005. NIR instrumentation technology. NIR news, 16(7) 13-16.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-c0a8bd6a-5aff-41ae-a0b5-e6aacf7a10cc
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