Fluorescence Hyperspectral Imaging of Oil Samples and Its Quantitative Applications in Component Analysis and Thickness Estimation
The fast response and analysis of oil spill accidents is important but remains challenging. Here, a compact fluorescence hyperspectral system based on a grating-prism structure able to perform component analysis of oil as well as make a quantitative estimation of oil film thickness is developed. The...
| Main Authors: | , , , , |
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| Format: | Article |
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MDPI AG
2018-12-01
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| Series: | Sensors |
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| Online Access: | https://www.mdpi.com/1424-8220/18/12/4415 |
| _version_ | 1811279862102491136 |
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| author | Wentao Jiang Jingwei Li Xinli Yao Erik Forsberg Sailing He |
| author_facet | Wentao Jiang Jingwei Li Xinli Yao Erik Forsberg Sailing He |
| author_sort | Wentao Jiang |
| collection | DOAJ |
| description | The fast response and analysis of oil spill accidents is important but remains challenging. Here, a compact fluorescence hyperspectral system based on a grating-prism structure able to perform component analysis of oil as well as make a quantitative estimation of oil film thickness is developed. The spectrometer spectral range is 366⁻814 nm with a spectral resolution of 1 nm. The feasibility of the spectrometer system is demonstrated by determining the composition of three types of crude oil and various mixtures of them. The relationship between the oil film thickness and the fluorescent hyperspectral intensity is furthermore investigated and found to be linear, which demonstrates the feasibility of using the fluorescence data to quantitatively measure oil film thickness. Capable of oil identification, distribution analysis, and oil film thickness detection, the fluorescence hyperspectral imaging system presented is promising for use during oil spill accidents by mounting it on, e.g., an unmanned aerial vehicle. |
| first_indexed | 2024-04-13T01:02:11Z |
| format | Article |
| id | doaj.art-8acfbe65872f4eceab220f07446a1dd5 |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-04-13T01:02:11Z |
| publishDate | 2018-12-01 |
| publisher | MDPI AG |
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| series | Sensors |
| spelling | doaj.art-8acfbe65872f4eceab220f07446a1dd52022-12-22T03:09:26ZengMDPI AGSensors1424-82202018-12-011812441510.3390/s18124415s18124415Fluorescence Hyperspectral Imaging of Oil Samples and Its Quantitative Applications in Component Analysis and Thickness EstimationWentao Jiang0Jingwei Li1Xinli Yao2Erik Forsberg3Sailing He4National Engineering Research Center of Optical Instrumentation, Centre for Optical and Electromagnetic Research, Zhejiang University, Hangzhou 310058, ChinaNational Engineering Research Center of Optical Instrumentation, Centre for Optical and Electromagnetic Research, Zhejiang University, Hangzhou 310058, ChinaNational Engineering Research Center of Optical Instrumentation, Centre for Optical and Electromagnetic Research, Zhejiang University, Hangzhou 310058, ChinaNational Engineering Research Center of Optical Instrumentation, Centre for Optical and Electromagnetic Research, Zhejiang University, Hangzhou 310058, ChinaNational Engineering Research Center of Optical Instrumentation, Centre for Optical and Electromagnetic Research, Zhejiang University, Hangzhou 310058, ChinaThe fast response and analysis of oil spill accidents is important but remains challenging. Here, a compact fluorescence hyperspectral system based on a grating-prism structure able to perform component analysis of oil as well as make a quantitative estimation of oil film thickness is developed. The spectrometer spectral range is 366⁻814 nm with a spectral resolution of 1 nm. The feasibility of the spectrometer system is demonstrated by determining the composition of three types of crude oil and various mixtures of them. The relationship between the oil film thickness and the fluorescent hyperspectral intensity is furthermore investigated and found to be linear, which demonstrates the feasibility of using the fluorescence data to quantitatively measure oil film thickness. Capable of oil identification, distribution analysis, and oil film thickness detection, the fluorescence hyperspectral imaging system presented is promising for use during oil spill accidents by mounting it on, e.g., an unmanned aerial vehicle.https://www.mdpi.com/1424-8220/18/12/4415fluorescence hyperspectral imagingoil detectionprincipal component analysis<i>K</i>-means clustering |
| spellingShingle | Wentao Jiang Jingwei Li Xinli Yao Erik Forsberg Sailing He Fluorescence Hyperspectral Imaging of Oil Samples and Its Quantitative Applications in Component Analysis and Thickness Estimation Sensors fluorescence hyperspectral imaging oil detection principal component analysis <i>K</i>-means clustering |
| title | Fluorescence Hyperspectral Imaging of Oil Samples and Its Quantitative Applications in Component Analysis and Thickness Estimation |
| title_full | Fluorescence Hyperspectral Imaging of Oil Samples and Its Quantitative Applications in Component Analysis and Thickness Estimation |
| title_fullStr | Fluorescence Hyperspectral Imaging of Oil Samples and Its Quantitative Applications in Component Analysis and Thickness Estimation |
| title_full_unstemmed | Fluorescence Hyperspectral Imaging of Oil Samples and Its Quantitative Applications in Component Analysis and Thickness Estimation |
| title_short | Fluorescence Hyperspectral Imaging of Oil Samples and Its Quantitative Applications in Component Analysis and Thickness Estimation |
| title_sort | fluorescence hyperspectral imaging of oil samples and its quantitative applications in component analysis and thickness estimation |
| topic | fluorescence hyperspectral imaging oil detection principal component analysis <i>K</i>-means clustering |
| url | https://www.mdpi.com/1424-8220/18/12/4415 |
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