Analytical Letters · 2019 · 19 citations · 11 references
Natural SciencesChemistryMaterials ScienceElemental AnalysisSpectroscopic AnalysisSpectroscopyCementitious MaterialsInfrared SpectroscopyMineral AnalysisNear-infrared SpectroscopyProximate Composition AnalysisSpectroscopic Food AnalysisCement ChemistryCompositional Data AnalysisMineral Content DeterminationMineral Content EstimationPartial Least Squares RegressionPrompt Gamma Activation AnalysisPrompt Gamma Neutron Activation AnalysisX-ray Fluorescence Spectroscopy
A rapid and accurate method is presented to determine CaCO3, SiO2, Fe2O3, and Al2O3 in cement raw meal using near-infrared (NIR) spectroscopy. Multiplicative scatter correction (MSC) was employed to eliminate the scattering signal and partial least squares (PLS) regression was used to build the analysis model. The results demonstrated good performance by this approach for the determination of CaCO3, SiO2, Fe2O3, and Al2O3. NIR spectroscopy exhibits the feasibility to characterize the quality of cement raw meal. Compared with prompt gamma neutron activation analysis (PGNAA) and X-ray fluorescence (XRF), this method is more efficient and safer.
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