Petroleomics, which is the characterization, separation, and quantification of the components of petroleum and crude oil, is an emerging area of study. However, the repertoire of analytical methods available to understand commercial automotive lubricant oils (ALOs) is very limited. Ambient mass spectrometry is one of the most sensitive analytical methods for real-time and in situ chemical analysis. With this technique, the chemical fingerprinting of ALOs can be performed quickly and simply using dielectric barrier discharge ionization time-of-flight mass spectrometry. In this study, the mass spectra of 35 samples were obtained without any sample preparation in positive-ion mode, and no carryover was observed. To elucidate the similarities and differences between the ALO samples, the data generated from these spectra were analyzed using four chemometric techniques: principal component analysis, multivariate curve resolution, hierarchical cluster analysis, and pattern recognition entropy. The ALO samples were readily differentiated according to their American Petroleum Institute classification and base oil types: mineral, semisynthetic, and synthetic. The development of this new methodology will aid in the semiquantitative control analysis of ALOs and offers an improved ability to identify the components therein.

中文翻译：

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直接介质阻挡放电电离促进了快速，简单的润滑油指纹图谱。

石油经济学是石油和原油成分的表征，分离和定量研究，是一个新兴的研究领域。但是，可用于了解商用汽车润滑油（ALO）的分析方法的种类非常有限。环境质谱是用于实时和原位化学分析的最灵敏的分析方法之一。使用此技术，可以使用介电势垒放电电离飞行时间质谱仪快速而简单地执行ALO的化学指纹分析。在这项研究中，在没有任何样品制备的情况下以正离子模式获得了35个样品的质谱，并且未观察到残留。为了阐明ALO样本之间的异同，这些光谱产生的数据使用四种化学计量技术进行了分析：主成分分析，多元曲线分辨率，层次聚类分析和模式识别熵。根据美国石油协会的分类和基础油类型（矿物油，半合成油和合成油），可以轻松区分ALO样品。这种新方法的发展将有助于对ALO进行半定量控制分析，并提高了识别其中成分的能力。