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| Content Provider | Royal Society of Chemistry (RSC) |
|---|---|
| Author | Zhang, Yinchao Chen, Siying Liu, Xiaohua Ge, Xianying Mu, Taotao Guo, Pan Chen, He |
| Copyright Year | 2013 |
| Abstract | In this paper, laser-induced fluorescence (LIF) is used to characterize and distinguish between different vegetable oils, including soybean, olive, grapeseed, rapeseed, corn, peanut, sunflower, canola, and walnut oils. A 532 nm laser, rather than an ultraviolet (UV) light source, is proposed and used as an excitation light source for the fluorescence analysis of edible oils. It was found that this laser is superior to UV lasers, the fluorescent characteristics become more distinct under 532 nm laser excitation. Edible oils were differentiated by LIF combined with principal component analysis which was used to reduce the dimensionality of data by finding key attributes, and support vector machine. This paper demonstrates, that for ten popular edible oils, the recognition rate can reach up to 100% when a 532 nm laser serves as an excitation light source. |
| Starting Page | 6960 |
| Ending Page | 6963 |
| Page Count | 4 |
| File Format | HTM / HTML PDF |
| ISSN | 17599660 |
| Volume Number | 5 |
| Issue Number | 24 |
| Journal | Analytical Methods |
| DOI | 10.1039/c3ay40987b |
| Language | English |
| Publisher | Royal Society of Chemistry |
| Access Restriction | Open |
| Subject Keyword | Leukemia inhibitory factor Fluorescence Canola Support vector machine Ultraviolet Laser-induced fluorescence Corn oil Sunflower oil Rapeseed Laser Soybean oil Peanut oil Principal component analysis |
| Content Type | Text |
| Resource Type | Article |
| Subject | Analytical Chemistry Engineering Chemical Engineering |
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