The laser-induced breakdown spectroscopy (LIBS) combined with multivariate regression analysis of measured data were utilised for determination of the heating value and the chemical composition of pellets made from Estonian oil shale samples with different heating values. The study is the first where the oil shale heating value is determined on the basis of LIBS spectra. The method for selecting the optimal number of spectral lines for ordinary multivariate least squares regression model is presented. The correlation coefficient between the heating value predicted by the regression model, and that measured by calorimetric bomb, was . The standard deviation of prediction was 0.24 MJ/kg. Concentrations of oil shale components predicted by the regression model were compared with those measured by ordinary methods.
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Publication date: 18 April 2017 Source: Cell Reports, Volume 19, Issue 3 Author(s): David Estoppey, Chia Min Lee, Marco Janoschke, Boon He...
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Abstract Functionalised electrospun polyamide-6 (PA-6) nanofibres incorporating gadolinium oxide nanoparticles conjugated to zinc tetracar...
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Radiation Research, Volume 187, Issue 6 , Page 647-658, June 2017. from #AlexandrosSfakianakis via Alexandros G.Sfakianakis on Inoreader ...
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Abstract Background Cells in the intervertebral disc have unique phenotypes and marker genes that separate the nucleus pulposus (NP), an...
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Publication date: Available online 23 February 2017 Source: Journal of Biomechanics Author(s): Lipika Parida, Udita Uday Ghosh, Venkat Pad...
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