Near-Infrared Spectroscopy of Limestone Ore for CaO Estimation under Dry and Wet Conditions
AbstractQuantitative analysis of CaO in limestone mining is mandatory, not only for ore exploration, but also for grade control. A partial least squares regression (PLSR) CaO estimation technique was developed for limestone mining. The proposed near-infrared spectroscopy (NIR)-based method uses reflectance spectra of the rock sample surface in the visible to short-wave infrared wavelength regions (350–2500 nm (4000–28,571 cm−1)) without the need to crush and pulverize the rock samples. The root mean square (RMS) error of CaO estimation using limestone ore fragment was 1.2%. The CaO content estimated by the PLSR method was used to predict average CaO content of composite samples with a sample size of 15, which resulted in an RMS error of 0.3%. The prediction accuracy with moisture on sample surfaces was also examined to find out if the NIR-based method showed a similar RMS error. Results suggest that the NIR technique can be used as a rapid assaying method in limestone workings with or without the presence of groundwater. View Full-Text
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Oh, S.; Hyun, C.-U.; Park, H.-D. Near-Infrared Spectroscopy of Limestone Ore for CaO Estimation under Dry and Wet Conditions. Minerals 2017, 7, 193.
Oh S, Hyun C-U, Park H-D. Near-Infrared Spectroscopy of Limestone Ore for CaO Estimation under Dry and Wet Conditions. Minerals. 2017; 7(10):193.Chicago/Turabian Style
Oh, Sungchan; Hyun, Chang-Uk; Park, Hyeong-Dong. 2017. "Near-Infrared Spectroscopy of Limestone Ore for CaO Estimation under Dry and Wet Conditions." Minerals 7, no. 10: 193.
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