Abstract 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.

中文翻译：

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近红外 (NIR) 光谱法对水泥生料的成分分析

摘要 提出了一种使用近红外 (NIR) 光谱快速准确测定水泥生料中 CaCO3、SiO2、Fe2O3 和 Al2O3 的方法。采用乘法散射校正 (MSC) 消除散射信号，并采用偏最小二乘法 (PLS) 回归建立分析模型。结果表明，该方法在测定 CaCO3、SiO2、Fe2O3 和 Al2O3 方面具有良好的性能。近红外光谱显示了表征水泥生料质量的可行性。与瞬发伽马中子活化分析（PGNAA）和X射线荧光（XRF）相比，该方法更高效、更安全。