Abstract The properties of diesel fuels must be controlled during industrial production. Significant diesel additives are cold-flow improvers that affect fuel properties at low temperature properties of diesel fuels. Improvers are added to fuels during processing in order to lower their cold filter plugging point (CFPP). In order to meet the European standard (EN 590), large quantities of cold-flow improvers may be required, increasing the cost of processing. In this study, near-infrared (NIR) spectroscopy was used for the rapid determination of cold-flow improver concentration. Our predictive models included 150 calibration standards and predictions were verified using 15 validation standards. The concentration of cold-flow improvers ranged from 41 to 325 mg/kg in the partial least squares (PLS) and from 60 to 325 mg/kg in the principal component regression (PCR) algorithm. The RSD of repeatability was 5.89% for the PLS algorithm and the RSD of 3.51% for the PCR algorithm of the model. Thus, NIR spectroscopy provides a fast and accurate tool for the determination of cold-flow improver concentrations in diesel fuel.

中文翻译：

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近红外光谱测定柴油燃料中的冷流改进剂浓度

摘要 工业生产过程中必须控制柴油的性能。重要的柴油添加剂是冷流改进剂，在柴油燃料的低温特性下会影响燃料特性。在加工过程中将改进剂添加到燃料中以降低其冷滤点 (CFPP)。为了满足欧洲标准 (EN 590)，可能需要大量的冷流改进剂，从而增加了加工成本。在这项研究中，近红外 (NIR) 光谱用于快速测定冷流改进剂浓度。我们的预测模型包括 150 个校准标准，并使用 15 个验证标准验证了预测。在偏最小二乘法 (PLS) 中冷流改进剂的浓度范围为 41 至 325 mg/kg，在主成分回归 (PCR) 算法中为 60 至 325 mg/kg。该模型的PLS算法的重复性RSD为5.89%，PCR算法的RSD为3.51%。因此，NIR 光谱为确定柴油燃料中的冷流改进剂浓度提供了一种快速而准确的工具。