基于显微共焦拉曼光谱的润滑油及添加剂化学指纹鉴别  

Fingerprint Identification of Lubricants and Additives Based on Confocal Raman Microscopy

作　　者：于迎涛[1] 屈佩玲 侯育闯 谢平平 

机构地区：[1]大连海事大学环境科学与工程学院,辽宁大连116026 [2]中国石油大连润滑油研究开发中心,辽宁大连116031

出　　处：《润滑油》2014年第4期22-26,共5页Lubricating Oil

基　　金：中国博士后科学基金(2012M510842)资助

摘　　要：采用显微共焦拉曼光谱仪研究了7种润滑油及3种添加剂的化学指纹谱,通过系统聚类分析实现了样品的快速鉴别。选取532 nm激发光,提取同时包含样品的荧光以及拉曼特征的化学指纹谱,对比不同样品的光谱特征差异。每种润滑油及添加剂分别进行3个标样和1个盲样的指纹采集。将采集的化学指纹谱归一化后,使用4阶明科夫斯基距离和最远邻元素法进行聚类分析。结果显示,各润滑油及添加剂的盲样均得到准确鉴别。相关研究结果可为润滑油以及添加剂的化学指纹鉴别提供重要的理论依据和实践参考。By using confocal microprobe Raman spectrometer equipped with 532 nm laser source,the chemical fingerprint spectra of 7 kinds of lubricating oils and 3 kinds of additives were explored,respectively. The obtained chemical fingerprint spectra of the samples included both fluorescence and Raman characteristics. For each lubricating oil and additive,a blind sample and three standard samples were examined. After standardized processing,all the chemical fingerprint spectra were used for hierarchical cluster analysis performed with the 4th order Minkowski distance criterion and the farthest neighbor element method. The results showed that all the blind samples can be significantly distinguished. This study can provide a theoretical and practical reference for the fingerprint identification of lubricating oils and additives.

关 键 词：润滑油 添加剂 指纹鉴别 荧光 拉曼光谱 聚类分析 

分 类 号：O657.37[理学—分析化学] TE626.3[理学—化学]