| 光谱学与光谱分析 |
|
|
|
|
|
| Identification Study of Edible Oil Species with Laser Induced Fluorescence Technology Based on Liquid Core Optical Fiber |
| FAN Yuan, WU Rui-mei*, AI Shi-rong, LIU Mu-hua, YANG Hong-fei, ZHENG Jian-hong |
| Optics-Electrics Application of Biomaterials Lab，Jiangxi Agricultural University，Nanchang 330045, China |
|
|
|
|
Abstract A laser- induced fluorescence detection set based on liquid core optical fiber was established in this study. Eight edible oils were discriminated by using this detection set combined with chemometrics method. The effect of length of liquid core optical fiber on laser induced fluorescence spectrum was explored, and the differences between the spectra of different edible oils were analyzed. The fluorescence spectra of 320 samples covering 8 types of edible oil were measured in 1 meter liquid core optical fiber. Principal component analysis was used in fluorescence data dimensionality reduction process. Partial least squares discriminant analysis (PLS-DA) method was used to develop the identification model to distinguish edible oil species. The results showed that the oil fluorescence intensity is greatly enhanced when liquid core optical fiber was used. With the increase of liquid core optical fiber length，the peaks of laser induced edible oil fluorescence spectra increased and the fluorescence spectra will produce red shift. The red shift tended to a constant value when the fiber length was more than 80 cm. The fluorescence spectra of different edible oils were quite different, its can be used to distinguish different types of edible oil. Principal component scores chart were get using PC1 and PC2 of edible oils fluorescence data which result in a trend of certain gather of same type of edible oil. The recognition rates of PLS-DA model for the calibration set and prediction set were both 100%. The study shows that the developed device in this study has high accuracy for identifying the edible oil species.
|
|
Received: 2015-04-22
Accepted: 2015-08-15
|
|
|
|
Corresponding Authors:
WU Rui-mei
E-mail: wuruimei036@163.com
|
|
[1] Peng D, Bi Y, Ren X, et al. Food Chemistry, 2015, 188: 415.
[2] Endo Y, Ohta A, Kido H, et al. Journal of Oleo Science, 2011, 60(9): 451.
[3] Mossoba M M, Azizian H, Tyburczy C, et al. Journal of the American Oil Chemists’ Society, 2013, 90(6): 757.
[4] LIU Ling-ling, WU Yan-wen, ZHANG Xu, et al(刘玲玲, 武彦文, 张 旭，等) . Acta Chimica Sinica(化学学报)，2012, 70(8): 995.
[5] Feng W W, Zhang W, Tian X X, et al. Advanced Materials Research, 2012, 588-589: 1152.
[6] Dong W, Zhang Y, Zhang B, et al. Journal of Raman Spectroscopy, 2013, 44(12): 1739.
[7] Zandomeneghi M, Carbonaro L, Caffarata C. Journal of Agricultural and Food Chemistry, 2005, 53(3): 759.
[8] Kyriakidis N B ，Skarkalis P. Journal of AOAC International, 2000, 83(6): 1435.
[9] Mu T, Chen S, Zhang Y, et al. Analytical Methods, 2013, 5(24): 6960.
[10] Li J, Dasgupta P K, Genfa Z. Talanta, 1999, 50(3): 617.
[11] FAN Ying-feng, LI Jing-xi, ZHUANG Zhi-xia, et al(樊颖锋，李景喜，庄峙厦，等). Chinese Journal of Analysis Laboratory(分析试验室)，2008，(5): 118.
[12] CHENG Cheng, LIN Yan-guo, YAN Jin-hua(程 成，林彦国，严金华). Acta Optica Sinica(光学学报)，2011, 31(4): 0406002.
[13] Kongbonga Y G M, Ghalila H, Onana M B, et al. Food and Nutrition Sciences, 2011, 2(7): 692.
[14] Nikolova K, Eftimov T, Perifanova M, et al. Journal of Food Science and Engineering，2012，2：674.
[15] CHEN Quan-sheng, ZHAO Jie-wen, CAI Jian-rong(陈全胜，赵杰文，蔡健荣). Acta Optica Sinica(光学学报)，2008，28(4): 669.
[16] Van Ruth S M, Villegas B, Akkermans W, et al. Food Chemistry, 2010, 118(4): 948. |
| [1] |
QI Guo-min1, TONG Shi-qian1, LIN Xu-cong1, 2*. Specific Identification of Microcystin-LR by Aptamer-Functionalized Magnetic Nanoprobe With Laser-Induced Fluorescence[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(12): 3813-3819. |
| [2] |
KONG De-ming1, LIU Ya-ru1, DU Ya-xin2, CUI Yao-yao2. Oil Film Thickness Detection Based on IRF-IVSO Wavelength Optimization Combined With LIF Technology[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(09): 2811-2817. |
| [3] |
WANG Shu-ying*, YOU De-chang, MA Wen-jia, YANG Ruo-fan, ZHANG Yang-zhi, YU Zi-lei, ZHAO Xiao-fang, SHEN Yi-fan. Experimental Collisional Energy Transfer Distributions for Collisions of CO2 With Highly Vibrationally Excited Na2[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(06): 1760-1764. |
| [4] |
WU Cheng-zhao1, WANG Yi-tao1, HU Dong1, SUN Tong1, 2*. Research Progress of Near-Infrared Spectroscopy in the Detection of
Edible Oil Adulteration[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(03): 685-691. |
| [5] |
YUAN Li1, KONG De-ming2*, CHEN Ji-liang3, ZHONG Mei-yu3, ZHANG Xiao-dan3, XIE Bei-bei3, KONG Ling-fu3. Study on an Equivalent Estimation Method of Oil Spill of Water in Oil
Emulsion[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(02): 342-347. |
| [6] |
ZHANG Xiao-dan1, KONG De-ming2*, ZHONG Mei-yu1, MA Qin-yong1, KONG Ling-fu1. Research on an Equivalent Evaluation Algorithm for the Oil Spill Volume of Oil-in-Water Emulsion on the Sea Surface[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(12): 3665-3671. |
| [7] |
YAN Peng-cheng1, 2, ZHANG Xiao-fei2*, SHANG Song-hang2, ZHANG Chao-yin2. Research on Mine Water Inrush Identification Based on LIF and
LSTM Neural Network[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(10): 3091-3096. |
| [8] |
CHEN Si-ying1, JIA Yi-wen1, JIANG Yu-rong1*, CHEN He1, YANG Wen-hui2, LUO Yu-peng1, LI Zhong-shi1, ZHANG Yin-chao1, GUO Pan1. Classification and Recognition of Adulterated Manuka Honey by
Multi-Wavelength Laser-Induced Fluorescence[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(09): 2807-2812. |
| [9] |
YUAN Li1, XIE Bei-bei2, CUI Yong-qiang2, ZHANG Xiao-dan2, JIAO Hui-hui2. Research on Oil Spill Status Recognition Based on LIF[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(07): 2018-2024. |
| [10] |
YAN Peng-cheng1, 2, ZHANG Chao-yin2*, SUN Quan-sheng2, SHANG Song-hang2, YIN Ni-ni1, ZHANG Xiao-fei2. LIF Technology and ELM Algorithm Power Transformer Fault Diagnosis Research[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(05): 1459-1464. |
| [11] |
WENG Shi-zhuang*, CHU Zhao-jie, WANG Man-qin, WANG Nian. Reflectance Spectroscopy for Accurate and Fast Analysis of Saturated
Fatty Acid of Edible Oil Using Spectroscopy-Based 2D Convolution
Regression Network[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(05): 1490-1496. |
| [12] |
WU Jie1, LI Chuang-kai1, CHEN Wen-jun1, HUANG Yan-xin1, ZHAO Nan1, LI Jia-ming1, 2*, YANG Huan3, LI Xiang-you4, LÜ Qi-tao3,5, ZHANG Qing-mao1,2,5. Multiple Liner Regression for Improving the Accuracy of Laser-Induced Breakdown Spectroscopy Assisted With Laser-Induced Fluorescence (LIBS-LIF)[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(03): 795-801. |
| [13] |
CHEN Feng-xia1, YANG Tian-wei2, LI Jie-qing1, LIU Hong-gao3, FAN Mao-pan1*, WANG Yuan-zhong4*. Identification of Boletus Species Based on Discriminant Analysis of Partial Least Squares and Random Forest Algorithm[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(02): 549-554. |
| [14] |
LI Jun1, 4, KONG De-ming2*, ZHANG Xiao-dan1, MA Qin-yong1, KONG De-han3, KONG Ling-fu1. Simulation Research on Detection of Emulsified Oil Spill on Sea Surface Based on LIF System With Coaxial Transceiver[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(02): 592-597. |
| [15] |
CUI Yong-qiang1, KONG De-ming2*, MA Qin-yong1, XIE Bei-bei1, ZHANG Xiao-dan1, KONG De-han3, KONG Ling-fu1. Algorithm Research on Inversion Thickness of Oil Spill on the Sea Surface Using Raman Scattering and Fluorescence Signal[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(01): 104-109. |
|
|
|
|
