Abstract Cetane number (CN) is an important property which indicates the ignition quality of fuels and especially diesel oil. The usual method for CN determination is a most involving and risky task that requires specific devices. In this paper, Partial Least Square Regression (PLSR) was successfully used for the prediction of diesel cetane number based on Fourier Transform Infrared Spectroscopy (FTIR). The proposed model was characterized by a high correlation coefficient between real and predicted CN values (R2 = 0.99), with small prediction error values (RMSEC = 0.28 and RMSEP = 0.42) compared to previously published models developed using spectroscopic techniques, namely NIR and Raman spectroscopy Thus, the proposed approach that uses the FTIR spectroscopy for cetane number determination can be highly recommended as a clean, environment friendly, rapid and reliable solution for the prediction of this important quality parameter of diesel fuels.

中文翻译：

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使用 FTIR 光谱和 PLS 回归预测柴油燃料中的十六烷值

摘要 十六烷值(CN)是表征燃料特别是柴油点火质量的一个重要性质。CN 确定的常用方法是一项最复杂、风险最大的任务，需要特定设备。在本文中，偏最小二乘回归 (PLSR) 成功地用于基于傅里叶变换红外光谱 (FTIR) 的柴油十六烷值预测。与之前发布的使用光谱技术（即 NIR 和拉曼）开发的模型相比，所提出的模型的特征在于真实和预测 CN 值之间的高相关系数（R2 = 0.99），具有较小的预测误差值（RMSEC = 0.28 和 RMSEP = 0.42）因此，强烈推荐使用 FTIR 光谱测定十六烷值的拟议方法作为一种清洁、