|
|
|
|
|
|
Distinguishing Extra Virgin Olive Oil Based on the Correlation Coefficient of Visible Absorption Spectrum of Vegetable Oil |
WANG Hong-peng, WAN Xiong* |
Key Laboratory of Space Active Opto-Electronics Technology, Shanghai Institute of Technical Physics of the Chinese Academy of Sciences, Shanghai 200083, China |
|
|
Abstract Currently there are many brands of olive oil on the market, and the quality of olive oil is uneven, so it is an urgent need to improve the classification of olive oil classification and extra virgin olive oil identification method. Visible absorption spectroscopy can be used to detect non-added reagents without direct contact with the sample. Therefore, for the purpose of distinguishing extra virgin olive oil, the spectroscopic measurement of different kinds of vegetable oils was carried out by visible absorption spectroscopy. In order to distinguish the extra virgin olive oils, spectroscopic measurements of different kinds of vegetable oils were carried out using visible absorption spectroscopy. It was found that the extra virgin olive oil had four distinct absorption peaks in the wavelength of 500~780 nm, while other kinds of vegetable oils had weak or no absorption in this band. what’s more, the spectral characteristics of the same brand of vegetable oil were very similar. The correlation coefficients of the visible absorption spectra of vegetable oils in four different wavelength ranges were calculated, and the correlation coefficients of the visible absorption spectra of different kinds of vegetable oils were compared. The results showed that the spectral correlation coefficients of the extra virgin olive oils in the wavelength range of 520~700 nm were 0.999 6. The spectral correlation coefficients between extra virgin olive oil and other kinds of vegetable oil were lower than 0.267 8, and the correlation coefficients between extra virgin olive oil and other olive oils were between 0.194 6 and 0.835 8. The results showed that the correlation coefficient method of visible absorption spectra is a fast and non-contact method for distinguishing extra virgin olive oil. In this paper, a method for rapid identification of extra virgin olive oil was established, that is, the correlation coefficient method of visible absorption spectrum. The method has a certain application value in the actual identification of extra virgin olive oil.
|
Received: 2016-12-02
Accepted: 2017-10-09
|
|
Corresponding Authors:
WAN Xiong
E-mail: wanxiong@mail.sitp.ac.cn
|
|
[1] Gouvinhas I, de Almeida J M M M, Carvalho T, et al. Food Chemistry, 2015, 174: 226.
[2] Moscetti R, Haff R P, Monarca D, et al. Postharvest Biology and Technology, 2016, 120: 204.
[3] Devos O, Downey G, Duponchel L. Food Chemistry, 2014, 148: 124.
[4] Mendes T O, da Rocha R A, Porto B L S, et al. Food Analytical Methods, 2015, 8(9): 2339.
[5] Czamara K, Majzner K, Pacia M Z, et al. Journal of Raman Spectroscopy, 2015, 46(1): 4.
[6] Guzmán E, Baeten V, Pierna J A F, et al. Food Chemistry, 2015, 173: 927.
[7] Mabood F, Boqué R, Folcarelli R, et al. Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy, 2015, 143: 298.
[8] National Standars of the People’s Republic of China(中华人民共和国国家标准). GB 23347—2009. Olive Oil and Olive-Pomace Oil(GB 23347—2009. 橄榄油、油橄榄果渣油). Beijing: Standards Press of China(北京:中国标准出版社),2009.
[9] Fan H, Smuts J, Bai L, et al. Food Chemistry, 2016, 194: 265.
[10] Torrecilla J S, Rojo E, Domínguez J C, et al. Journal of Agricultural and Food Chemistry, 2010, 58(3): 1679. |
[1] |
BAI Xi-lin1, 2, PENG Yue1, 2, ZHANG Xue-dong1, 2, GE Jing1, 2*. Ultrafast Dynamics of CdSe/ZnS Quantum Dots and Quantum
Dot-Acceptor Molecular Complexes[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2024, 44(01): 56-61. |
[2] |
GAO Feng1, 2, XING Ya-ge3, 4, LUO Hua-ping1, 2, ZHANG Yuan-hua3, 4, GUO Ling3, 4*. Nondestructive Identification of Apricot Varieties Based on Visible/Near Infrared Spectroscopy and Chemometrics Methods[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2024, 44(01): 44-51. |
[3] |
ZHENG Pei-chao, YIN Yi-tong, WANG Jin-mei*, ZHOU Chun-yan, ZHANG Li, ZENG Jin-rui, LÜ Qiang. Study on the Method of Detecting Phosphate Ions in Water Based on
Ultraviolet Absorption Spectrum Combined With SPA-ELM Algorithm[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2024, 44(01): 82-87. |
[4] |
LI Yu1, ZHANG Ke-can1, PENG Li-juan2*, ZHU Zheng-liang1, HE Liang1*. Simultaneous Detection of Glucose and Xylose in Tobacco by Using Partial Least Squares Assisted UV-Vis Spectroscopy[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2024, 44(01): 103-110. |
[5] |
LIU Jia, ZHENG Ya-long, WANG Cheng-bo, YIN Zuo-wei*, PAN Shao-kui. Spectra Characterization of Diaspore-Sapphire From Hotan, Xinjiang[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2024, 44(01): 176-180. |
[6] |
GU Yi-lu1, 2,PEI Jing-cheng1, 2*,ZHANG Yu-hui1, 2,YIN Xi-yan1, 2,YU Min-da1, 2, LAI Xiao-jing1, 2. Gemological and Spectral Characterization of Yellowish Green Apatite From Mexico[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2024, 44(01): 181-187. |
[7] |
BAI Xue-bing1, 2, SONG Chang-ze1, ZHANG Qian-wei1, DAI Bin-xiu1, JIN Guo-jie1, 2, LIU Wen-zheng1, TAO Yong-sheng1, 2*. Rapid and Nndestructive Dagnosis Mthod for Posphate Dficiency in “Cabernet Sauvignon” Gape Laves by Vis/NIR Sectroscopy[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(12): 3719-3725. |
[8] |
ZHENG Ni-na1, 2*, XIE Pin-hua1, QIN Min1, DUAN Jun1. Research on the Influence of Lamp Structure of the Combined LED Broadband Light Source on Differential Optical Absorption Spectrum
Retrieval and Its Removing Method[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(11): 3339-3346. |
[9] |
DUAN Ming-xuan1, LI Shi-chun1, 2*, LIU Jia-hui1, WANG Yi1, XIN Wen-hui1, 2, HUA Deng-xin1, 2*, GAO Fei1, 2. Detection of Benzene Concentration by Mid-Infrared Differential
Absorption Lidar[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(11): 3351-3359. |
[10] |
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. |
[11] |
HUANG Li, MA Rui-jun*, CHEN Yu*, CAI Xiang, YAN Zhen-feng, TANG Hao, LI Yan-fen. Experimental Study on Rapid Detection of Various Organophosphorus Pesticides in Water by UV-Vis Spectroscopy and Parallel Factor Analysis[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(11): 3452-3460. |
[12] |
ZHENG Shu-yuan1, 2, HAI Yan1, 2, HE Meng-qi1, 2, WANG Jian-xiong1, 2. Construction of Vegetation Index in Visible Light Band of GF-6 Image With Higher Discrimination[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(11): 3509-3517. |
[13] |
WANG Peng1, GAO Yong-bao1*, KOU Shao-lei1, MEN Qian-ni1, ZHANG Min1, HE Tao1, YAO Wei2, GAO Rui1, GUO Wen-di1, LIU Chang-rui1. Multi-Objective Optimization of AAS Conditions for Determination of Gold Element Based on Gray Correlation Degree-RSM Model[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(10): 3117-3124. |
[14] |
LI Yang1, LI Xiao-qi1, YANG Jia-ying1, SUN Li-juan2, CHEN Yuan-yuan1, YU Le1, WU Jing-zhu1*. Visualisation of Starch Distribution in Corn Seeds Based on Terahertz Time-Domain Spectral Reflection Imaging Technology[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(09): 2722-2728. |
[15] |
JIA Yu-ge1, YANG Ming-xing1, 2*, YOU Bo-ya1, YU Ke-ye1. Gemological and Spectroscopic Identification Characteristics of Frozen Jelly-Filled Turquoise and Its Raw Material[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(09): 2974-2982. |
|
|
|
|