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Motor Oil Classification Based on Time-Resolved Fluorescence
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...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4079594/ https://www.ncbi.nlm.nih.gov/pubmed/24988439 http://dx.doi.org/10.1371/journal.pone.0100555 |
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author | Mu, Taotao Chen, Siying Zhang, Yinchao Guo, Pan Chen, He Meng, Fandong |
author_facet | Mu, Taotao Chen, Siying Zhang, Yinchao Guo, Pan Chen, He Meng, Fandong |
author_sort | Mu, Taotao |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-4079594 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-40795942014-07-08 Motor Oil Classification Based on Time-Resolved Fluorescence Mu, Taotao Chen, Siying Zhang, Yinchao Guo, Pan Chen, He Meng, Fandong PLoS One Research Article 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. Public Library of Science 2014-07-02 /pmc/articles/PMC4079594/ /pubmed/24988439 http://dx.doi.org/10.1371/journal.pone.0100555 Text en © 2014 Mu et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited. |
spellingShingle | Research Article Mu, Taotao Chen, Siying Zhang, Yinchao Guo, Pan Chen, He Meng, Fandong Motor Oil Classification Based on Time-Resolved Fluorescence |
title | Motor Oil Classification Based on Time-Resolved Fluorescence |
title_full | Motor Oil Classification Based on Time-Resolved Fluorescence |
title_fullStr | Motor Oil Classification Based on Time-Resolved Fluorescence |
title_full_unstemmed | Motor Oil Classification Based on Time-Resolved Fluorescence |
title_short | Motor Oil Classification Based on Time-Resolved Fluorescence |
title_sort | motor oil classification based on time-resolved fluorescence |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4079594/ https://www.ncbi.nlm.nih.gov/pubmed/24988439 http://dx.doi.org/10.1371/journal.pone.0100555 |
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