| 光谱学与光谱分析 |
|
|
|
|
|
| Laser Induced Fluorescence Spectrum Characteristics of Common Edible Oil and Fried Cooking Oil |
| MU Tao-tao, CHEN Si-ying*, ZHANG Yin-chao, CHEN He, GUO Pan, GE Xian-ying, GAO Li-lei |
| School of Optoelectronics, Beijing Institute of Technology, Beijing 100081, China |
|
|
|
|
Abstract In order to detect the trench oil the authors built a trench oil rapid detection system based on laser induced fluorescence detection technology. This system used 355 nm laser as excitation light source. The authors collected the fluorescence spectrum of a variety of edible oil and fried cooking oil (a kind of trench oil) and then set up a fluorescence spectrum database by taking advantage of the trench oil detection system. It was found that the fluorescence characteristics of fried cooking oil and common edible oil were obviously different. Then it could easily realize the oil recognition and trench oil rapid detection by using principal component analysis and BP neural network, and the overall recognition rate could reach as high as 97.5%. Experiments showed that laser induced fluorescence spectrum technology was fast, non-contact, and highly sensitive. Combined with BP neural network, it would become a new technique to detect the trench oil.
|
|
Received: 2013-01-22
Accepted: 2013-03-20
|
|
|
|
Corresponding Authors:
CHEN Si-ying
E-mail: csy@bit.edu.cn
|
|
[1] ZHOU Zhi-hui, CHEN Zhi-hua, MAO Fei-jun, et al(周智慧，陈志华，毛飞君，等). Chian Oils and Fats(中国油脂), 2011, 36(10)：64.
[2] LIAN Fei-yu, QIN Jian-ping, NIU Bo, et al(廉飞宇，秦建平，牛 波，等). Agricultural Engineering(农业工程), 2012, 2(6)：37.
[3] ZHOU Yong-sheng, LUO Shi-ping, KONG Yong(周永生，罗士平，孔 泳). Chinese Journal of Chromatography(色谱), 2012, 30(2)：207.
[4] JIA Yan-hua, XU Xiao-xuan, YANG Ren-jie, et al(贾艳华，徐晓轩，杨仁杰，等). Acta Photonica Sinica(光子学报), 2006, 35(11): 4.
[5] Wiesent B R, Dorigo D G, Julich F, et al. Optoelectronics and Advanced Materials-Rapid Communicauions, 2011, 5(11): 1162.
[6] Parvin P, Shoursheini S Z, Khalilinejad F, et al. Optics and Lasers in Engineering, 2012, 50(11): 1672.
[7] Rocha R, Villaverde A B, Silveira L, et al. Photomedicine and Laser Surgery, 2008, 26(4): 329.
[8] Luthria D L, Mukhopadhyay S, Robbi ns R J, et al. Journal of Agricultural and Food Chemistry, 2008, 56(14): 5457.
[9] Howley T, Madden M G, O’Connell M L, et al. Knowledge-Based Systems, 2006, 19(5): 363.
[10] Zhang H, Hu H, Zhang X B, et al. Acta Physiologiae Plantarum, 2011, 33(6): 2461.
[11] Rossi A M, Taylor C W. Nature Protocols, 2011, 6(3)：365.
[12] Rughooputh H C S, Rughooputh S D D V. Image and Vision Computing, 2000, 18(14): 1101.
[13] CHEN Guo-zhen, HUANG Xian-zhi, XU Jin-gou, et al(陈国珍, 黄贤智, 许金钩, 等). Fluorescence Analytical Method(荧光分析法). Beijing: Science Press(北京: 科学出版社), 1990. 451. |
| [1] |
LI Hu1, ZHONG Yun1, 2, FENG Ya-ting1, LIN Zhen1, ZHU Shi-jiang1, 2*. Multi-Vegetation Index Soil Moisture Inversion Model Based on UAV
Remote Sensing[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2024, 44(01): 207-214. |
| [2] |
WANG Cai-ling1，ZHANG Jing1，WANG Hong-wei2*, SONG Xiao-nan1, JI Tong3. A Hyperspectral Image Classification Model Based on Band Clustering and Multi-Scale Structure Feature Fusion[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2024, 44(01): 258-265. |
| [3] |
HU Cai-ping1, HE Cheng-yu2, KONG Li-wei3, ZHU You-you3*, WU Bin4, ZHOU Hao-xiang3, SUN Jun2. Identification of Tea Based on Near-Infrared Spectra and Fuzzy Linear Discriminant QR Analysis[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(12): 3802-3805. |
| [4] |
LUO Li, WANG Jing-yi, XU Zhao-jun, NA Bin*. Geographic Origin Discrimination of Wood Using NIR Spectroscopy
Combined With Machine Learning Techniques[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(11): 3372-3379. |
| [5] |
FANG Zheng, WANG Han-bo. Measurement of Plastic Film Thickness Based on X-Ray Absorption
Spectrometry[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(11): 3461-3468. |
| [6] |
HUANG Zhao-di1, CHEN Zai-liang2, WANG Chen3, TIAN Peng2, ZHANG Hai-liang2, XIE Chao-yong2*, LIU Xue-mei4*. Comparing Different Multivariate Calibration Methods Analyses for Measurement of Soil Properties Using Visible and Short Wave-Near
Infrared Spectroscopy Combined With Machine Learning Algorithms[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(11): 3535-3540. |
| [7] |
JIA Zong-chao1, WANG Zi-jian1, LI Xue-ying1, 2*, QIU Hui-min1, HOU Guang-li1, FAN Ping-ping1*. Marine Sediment Particle Size Classification Based on the Fusion of
Principal Component Analysis and Continuous Projection Algorithm[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(10): 3075-3080. |
| [8] |
CHEN Jia-wei1, 2, ZHOU De-qiang1, 2*, CUI Chen-hao3, REN Zhi-jun1, ZUO Wen-juan1. Prediction Model of Farinograph Characteristics of Wheat Flour Based on Near Infrared Spectroscopy[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(10): 3089-3097. |
| [9] |
XUE Fang-jia, YU Jie*, YIN Hang, XIA Qi-yu, SHI Jie-gen, HOU Di-bo, HUANG Ping-jie, ZHANG Guang-xin. A Time Series Double Threshold Method for Pollution Events Detection in Drinking Water Using Three-Dimensional Fluorescence Spectroscopy[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(10): 3081-3088. |
| [10] |
JIA Hao1, 3, 4, ZHANG Wei-fang1, 3, LEI Jing-wei1, 3*, LI Ying-ying1, 3, YANG Chun-jing2, 3*, XIE Cai-xia1, 3, GONG Hai-yan1, 3, DING Xin-yu1, YAO Tian-yi1. Study on Infrared Fingerprint of the Classical Famous
Prescription Yiguanjian[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(10): 3202-3210. |
| [11] |
CAO Qian, MA Xiang-cai, BAI Chun-yan, SU Na, CUI Qing-bin. Research on Multispectral Dimension Reduction Method Based on Weight Function Composed of Spectral Color Difference[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(09): 2679-2686. |
| [12] |
ZHU Yan-ping1, CUI Chuan-jin1*, CHENG Peng-fei1, 2, PAN Jin-yan1, SU Hao1, 2, ZHANG Yi1. Measurement of Oil Pollutants by Three-Dimensional Fluorescence
Spectroscopy Combined With BP Neural Network and SWATLD[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(08): 2467-2475. |
| [13] |
ZHANG Zi-hao1, GUO Fei3, 4, WU Kun-ze1, YANG Xin-yu2, XU Zhen1*. Performance Evaluation of the Deep Forest 2021 (DF21) Model in
Retrieving Soil Cadmium Concentration Using Hyperspectral Data[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(08): 2638-2643. |
| [14] |
LUO Dong-jie, WANG Meng, ZHANG Xiao-shuan, XIAO Xin-qing*. Vis/NIR Based Spectral Sensing for SSC of Table Grapes[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(07): 2146-2152. |
| [15] |
CHEN Wan-jun1, XU Yuan-jie2, LU Zhi-yun3, QI Jin-hua3, WANG Yi-zhi1*. Discriminating Leaf Litters of Six Dominant Tree Species in the Mts. Ailaoshan Based on Near-Infrared Spectroscopy[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(07): 2119-2123. |
|
|
|
|
