Jan JELINEK , Jiři MALIS , Tomas DANĚK , Jan THOMAS , Vladimir SLIVKA 5) ________________________... more Jan JELINEK , Jiři MALIS , Tomas DANĚK , Jan THOMAS , Vladimir SLIVKA 5) _________________________ 1) Ing., PhD., Institute of Geological Engineering, Faculty of Mining and Geology, VSB – Technical University of Ostrava; 17. listopadu 15, 708 33, Ostrava – Poruba, Czech Republic; tel.: (+420) 597 325 468, e-mail: jan.jelinek@ vsb.cz 2) Ing., PhD., Institute of Geological Engineering, Faculty of Mining and Geology, VSB – Technical University of Ostrava; 17. listopadu 15, 708 33, Ostrava – Poruba, Czech Republic; tel.: (+420) 597 324 171, e-mail: jiri.malis@ vsb.cz 3) Ing., PhD., Institute of Geological Engineering, Faculty of Mining and Geology, VSB – Technical University of Ostrava; 17. listopadu 15, 708 33, Ostrava – Poruba, Czech Republic; tel.: (+420) 597 324 364, e-mail: tomas.danek@ vsb.cz 4) Ing., PhD., Institute of Environmental Engineering, Faculty of Mining and Geology, VSB – Technical University of Ostrava; 17. listopadu 15, 708 33, Ostrava – Poruba, Czech Republic; tel.: ...
The objective of this work is the chemometric quantification of minerals in rocks. A chemometric ... more The objective of this work is the chemometric quantification of minerals in rocks. A chemometric method was developed for the determination of chlorite, muscovite, albite and quartz in claystones and clay shales using infrared spectroscopy. Bromide pellets and diffuse reflectance were used to measure the infrared spectra; principal component analysis and partial least- squares regression were used as chemometric methods. Spectral regions (4000-3000 cm -1 and 1300-400 cm -1 ) containing important spectral information were chosen by principal component analysis. The calibration models were created by a partial least-squares regression. The mean relative error and relative standard deviation were calculated for the assessment of accuracy and reproducibility. The value of the mean relative error was about 10 % for most of the calibration models. The value of the relative standard deviation ranged from 1.1 to 3.0 % for most calibration models based on diffuse reflectance spectra and from...
Jan JELINEK , Jiři MALIS , Tomas DANĚK , Jan THOMAS , Vladimir SLIVKA 5) ________________________... more Jan JELINEK , Jiři MALIS , Tomas DANĚK , Jan THOMAS , Vladimir SLIVKA 5) _________________________ 1) Ing., PhD., Institute of Geological Engineering, Faculty of Mining and Geology, VSB – Technical University of Ostrava; 17. listopadu 15, 708 33, Ostrava – Poruba, Czech Republic; tel.: (+420) 597 325 468, e-mail: jan.jelinek@ vsb.cz 2) Ing., PhD., Institute of Geological Engineering, Faculty of Mining and Geology, VSB – Technical University of Ostrava; 17. listopadu 15, 708 33, Ostrava – Poruba, Czech Republic; tel.: (+420) 597 324 171, e-mail: jiri.malis@ vsb.cz 3) Ing., PhD., Institute of Geological Engineering, Faculty of Mining and Geology, VSB – Technical University of Ostrava; 17. listopadu 15, 708 33, Ostrava – Poruba, Czech Republic; tel.: (+420) 597 324 364, e-mail: tomas.danek@ vsb.cz 4) Ing., PhD., Institute of Environmental Engineering, Faculty of Mining and Geology, VSB – Technical University of Ostrava; 17. listopadu 15, 708 33, Ostrava – Poruba, Czech Republic; tel.: ...
The objective of this work is the chemometric quantification of minerals in rocks. A chemometric ... more The objective of this work is the chemometric quantification of minerals in rocks. A chemometric method was developed for the determination of chlorite, muscovite, albite and quartz in claystones and clay shales using infrared spectroscopy. Bromide pellets and diffuse reflectance were used to measure the infrared spectra; principal component analysis and partial least- squares regression were used as chemometric methods. Spectral regions (4000-3000 cm -1 and 1300-400 cm -1 ) containing important spectral information were chosen by principal component analysis. The calibration models were created by a partial least-squares regression. The mean relative error and relative standard deviation were calculated for the assessment of accuracy and reproducibility. The value of the mean relative error was about 10 % for most of the calibration models. The value of the relative standard deviation ranged from 1.1 to 3.0 % for most calibration models based on diffuse reflectance spectra and from...
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