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使用FTIR和化学测量来预测柴油油氧化含量
Dan Vrtiška1, Miloš Auersvald1, Zlata Mužíková1
1University of Chemistry and Technology, Prague, Department of Sustainable Fuels and Green Chemistry, Technicka 5, 160 00 Prague 6, Czech Republic.
概括
一个新的预测模型使用FTIR光谱学和PLS回归来准确确定柴油中的氧化物数量,为评估燃料老化提供了传统定位方法的快速和经济有效的替代方案.
科学领域:
- 分析化学 分析化学
- 频谱学是一种光谱学.
- 燃料科学 燃料科学 燃料科学
背景情况:
- 氧化物数是柴油燃料氧化降解的关键指标.
- 传统的定位方法来确定氧化的数量是繁的,耗时的,并使用有毒的试剂.
- 开发快速,准确和具有成本效益的评估燃料质量的方法至关重要.
研究的目的:
- 开发一个预测模型来确定柴油燃料的氧化物数量.
- 为了利用富里埃变换红外光谱法 (FTIR) 与部分最小平方 (PLS) 回归相结合.
- 建立一个具有成本效益和快速选方法,用于柴油燃料的氧化老化.
主要方法:
- 使用FTIR光谱和PLS回归的预测模型的开发.
- 校准和验证使用新鲜和老化柴油燃料标准 (0-65 mg·kg−1 氧化数).
- 优化涉及各种预处理技术 (平均集中,差异缩放,第二导数,光滑) 和潜在变量.
主要成果:
- 优化的模型采用了特定的预处理方法,显示出出色的预测能力.
- 萨维茨基-戈莱和Gap-Segment衍生品平滑技术都产生了可比,有效的结果.
- 基于FTIR的模型实现了较低的根平均平方误差预测,表明高准确度.
结论:
- 开发的FTIR-PLS模型提供了一种可靠和快速的方法来确定柴油燃料的氧化物数.
- 这种方法是传统定位方法的成本效益和环保更友好的替代方案.
- 该模型适用于快速选碳化合物燃料中的氧化衰老水平.
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