近红外光谱法测定柴油硫含量方法研究

摘要

近红外分析方法是目前发展较快的一种快速测量方法,它具有快速、准确、无污染等特性,被广泛应用于石油化工各个领域中,而采用近红外分析方法测定硫含量的文献报道较少.本文对近红外分析方法测定柴油硫含量进行了研究.选取有代表性的100个柴油样品,采用多元线性回归法建立校正模型.由17个样品组成验证集,用建立的分析模型预测其硫含量,将近红外光谱测定的结果与标准方法测定的结果进行比较.模型具有较好的相关性,标准偏差为426.95,相关系数是0.998.%The near infrared spectroscopy(NIR) method to determine the diesel sulfur content has been successfully designed.The multiple linear regression method is chosen to establish the calibration model.The 100 representative sample of diesel are selected.17 samples are used to verify the calibration model.Therefore the NIR method to determine the diesel density and refractive index is feasible.The multiple linear regression is used to establish the calibration model.Both models have 8ood correlation coefficients.The standard deviation is 426.945.The predict and practice results have very good correlation generally.The correlation coefficiant is 0.998.Therefore the two results have verygood correlation.