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DEVELOPMENT OF METHODS TO QUALITATIVELY IDENTIFY LUBRICANTS AND OTHER NON-POLAR FUEL CONTAMINANTS

机译:制定定性识别润滑剂和其他非极性燃料污染物的方法

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Nonpolar substances such as lubricants,greases,and hydraulic fluids can contaminate mobility fuel supplies,potentially causing fuel stability and performance problems.A method to identify and quantify those high molecular mass compounds has been previously developed in our laboratory utilizing High-Pressure Liquid Chromatography with Evaporative Light Scattering Detection (HPLC-ELSD).Small scale,initial testing have shown that the method can be successfully used for detection of the target compounds.In this work we conducted comprehensive validation of the method using multiple contaminants in several fuel backgrounds and developed dedicated analysis software.Data for over seventy potential high molecular weight contaminants was collected in a diverse array of fuel backgrounds (JP-5,JP-8,F-76,ULSD,and HRJ) and used to construct pattern recognition algorithms to map chromatograms to contaminants,contaminant categories,and mixtures of contaminants.Then a standalone software application that can apply the validated modeling framework to externally-produced UHPLC-ELSD data was developed.The results show that data modeling strategies can be used to discriminate between different categories of contaminants,and even provide estimates of the amount of compounds.The ability to detect,quantify and identify these types of materials in fuels is a critical aspect of any failure investigation that is related to fuel quality.Developed method is a simple and robust for both the detection and identification of many possible fuel contaminants without the high operating costs associated with high-end mass spectrometry instrumentation.
机译:润滑剂,润滑脂和液压流体等非极性物质可以污染迁移率燃料供应,可能导致燃料稳定性和性能问题。在我们的实验室使用高压液相色谱法识别和量化那些高分子质量化合物的方法。蒸发光散射检测(HPLC-ELSD).small刻度,初始测试表明,该方法可以成功地用于检测目标化合物。在这项工作中,我们在几个燃料背景中使用多个污染物进行了全面验证了该方法的方法专用分析软件。在不同七十个潜在的高分子量污染物中收集在不同燃料背景(JP-5,JP-8,F-76,ULD和HRJ)中收集了高分子量污染物,并用于构造模式识别算法以映射色谱图对污染物,污染物类别和污染物混合物。然后是独立的软件应用程序帽子可以将验证的建模框架应用于外部产生的UHPLC-ELSD数据。结果表明,数据建模策略可用于区分不同类别的污染物,甚至提供化合物量的估计。检测能力,量化和识别这些类型的材料中的燃料是燃料quality.Developed方法有关的任何故障调查的一个重要方面是用于检测和许多可能的燃料污染物的鉴定了简单和坚固的不具有相关联的运行费用高高端质谱仪。

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