Motor Oil Classification Based on Time-Resolved Fluorescence

被引:10
|
作者
Mu, Taotao [1 ]
Chen, Siying [1 ]
Zhang, Yinchao [1 ]
Guo, Pan [1 ]
Chen, He [1 ]
Meng, Fandong [1 ]
机构
[1] Beijing Inst Technol, Sch Optoelect, Beijing 100081, Peoples R China
来源
PLOS ONE | 2014年 / 9卷 / 07期
关键词
NEAR-INFRARED SPECTROSCOPY; VIRGIN OLIVE OIL; CRUDE OILS; NIR SPECTROSCOPY; ADULTERATION; CHEMOMETRICS; PREDICTION; LIFETIME; SAMPLES; CANCER;
D O I
10.1371/journal.pone.0100555
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
A time-resolved fluorescence (TRF) technique is presented for classifying motor oils. The system is constructed with a third harmonic Nd:YAG laser, a spectrometer, and an intensified charge coupled device (ICCD) camera. Steady-state and time-resolved fluorescence (TRF) measurements are reported for several motor oils. It is found that steady-state fluorescence is insufficient to distinguish the motor oil samples. Then contour diagrams of TRF intensities (CDTRFIs) are acquired to serve as unique fingerprints to identify motor oils by using the distinct TRF of motor oils. CDTRFIs are preferable to steady-state fluorescence spectra for classifying different motor oils, making CDTRFIs a particularly choice for the development of fluorescence-based methods for the discrimination and characterization of motor oils. The two-dimensional fluorescence contour diagrams contain more information, not only the changing shapes of the LIF spectra but also the relative intensity. The results indicate that motor oils can be differentiated based on the new proposed method, which provides reliable methods for analyzing and classifying motor oils.
引用
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页数:6
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