| 光谱学与光谱分析 |
|
|
|
|
|
| Application of Visible and Near Infrared Spectroscopy for Rapid and Non-Invasive Quantification of Adulterants in Fish Oil |
| ZHANG Yu1,2, TAN Li-hong1, CAO Fang2, HE Yong2* |
1. Zhejiang Technical Institute of Economics, Hangzhou 310018, China
2. College of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou 310058, China |
|
|
|
|
Abstract Visible and near infrared (Vis-NIR) spectroscopy was used to accomplish a rapid and noninvasive quantification of the two common adulterants, soybean oil and rapeseed oil, in fish oil. Different contents of soybean oil were added into fish oil of three brands and different contents of rapeseed oil were added into fish oil of another three brands, the Vis-NIR spectra of adulterated samples were collected, pretreated by five spectral preprocessing algorithms (smoothing, standard normal variate (SNV), multiplicative scatter correction (MSC), 1st-derivative, and 2nd- derivative), and used to establish partial least square regression (PLSR) models. The correlation coefficients for prediction (Rp) of 0.938 6 and 0.959 3 were obtained for the adulterant detection of soybean oil and rapeseed oil respectively, and their optimal models were full range spectral PLSR model and MSC-PLSR model. Successive projections algorithm (SPA) was then used to analyze the full range spectra of fish oil samples adulterated with soybean oil and rapeseed oil respectively, and 11 and 15 spectral characteristic wavelength variables were obtained. The Rp of 0.941 2 and 0.932 6 were obtained based on SPA-PLSR models for the adulterant detection of soybean oil and rapeseed oil, respectively. The overall results indicate that Vis-NIR spectroscopy is a feasible way to determine the adulterants of soybean oil and rapeseed oil in fish oil rapidly and non-destructively.
|
|
Received: 2012-09-02
Accepted: 2012-12-20
|
|
|
|
Corresponding Authors:
HE Yong
E-mail: yhe@zju.edu.cn
|
|
[1] ZHENG Mei-yu, LI Guo-wen(郑美瑜，李国文). Journal of Jiangsu University·Nauural Science(江苏大学学报·自然科学版)，2002，23(3)：37.
[2] TAO Ning-ping, BAO Dan(陶宁萍，鲍 丹). Journal of Shanghai Fisheries University(上海水产大学学报)，2005，14(2)：197.
[3] LIU Xing-wang(刘兴旺). Feed Review(饲料博览：技术版)，2007，(4)：28.
[4] Armenta S, Garrigues S, de La Guardia M. Analytica Chimica Acta, 2007, 596(2): 330.
[5] Wu D, Chen X J, Shi P Y, et al. Analytica Chimica Acta, 2009, 634(2)：166.
[6] JIANG Lu-lu, ZHANG Yu, LIU Fei, et al(蒋璐璐，张 瑜，刘 飞，等). Acta Petrolei Sinica·Petroleum Processing Section(石油学报·石油加工), 2011, 27(1)：112.
[7] JIANG Lu-lu, SHAO Yong-ni, ZHANG Yu, et al(蒋璐璐，邵永妮，张 瑜，等). Chinese Journal of Spectroscopy Laboratory(光谱实验室), 2010, 27(4), 1507.
[8] Downey G, Mclntyre P, Davies A N. Journal of Agriculture and Food Chemistry, 2002, 50(20), 5520.
[9] Guan X C, Chen X J, Jiang J. African Journal of Agricultural Research, 2011, 6(27): 5987.
[10] Wu D, Shi H, Wang S, et al. Analytica Chimica Acta, 2012, 726：57.
[11] WU Di, WU Hong-xi, CAI Jing-bo, et al(吴 迪，吴洪喜，蔡景波，等) . Journal of Infrared and Millimeter Waves(红外与毫米波学报)，2009，28(6)：423.
[12] CHEN Bin, MENG Xiang-long, WANG Hao(陈 斌, 孟祥龙, 王 豪). Journal of Instrumental Analysis(分析测试学报), 2007, 26(1): 66.
[13] LUO Pi, GUO Ji-chang, LI Qiang, et al(罗 批，郭继昌，李 锵，等). Journal of Tianjin University(天津大学学报)，2002，35(6)：783.
|
| [1] |
CHEN Guo-xi1, 2, ZHOU Song-bin2*, CHEN Qi1, LIU Yi-sen2, ZHAO Lu-lu2, HAN Wei2. Detection of Hydrolyzed Leather Protein Adulteration in Infant Formula Based on Wavelength Attention Convolutional Network and Near-Infrared Spectroscopy[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(12): 3811-3816. |
| [2] |
TANG Yi-yun1, 4, LIU Rui2, WANG Lu2, LÜ Hui-ying1, 4, TANG Zhong-hai1, 4*, XIAO Hang1, 3, GUO Shi-yin1, 4, FAN Wei1, 4*. Application of One-Class Classification Combined With Spectral Analysis in Food Authenticity Identification[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(11): 3336-3344. |
| [3] |
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. |
| [4] |
LI Bin, YIN Hai, ZHANG Feng, CUI Hui-zhen, OUYANG Ai-guo*. Research on Protein Powder Adulteration Detection Based on
Hyperspectral Technology[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(08): 2380-2386. |
| [5] |
GAO Bing, XU Shuai, HAN Lu-jia, LIU Xian*. A Sequential Classification Strategy Applied to the Detection of Terrestrial Animal Lipid in Fish Oil by MID-Infrared Spectroscopy[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2021, 41(08): 2427-2431. |
| [6] |
ZOU Jin-ping1, ZHANG Shuai2, DONG Wen-tao2, ZHANG Hai-liang2*. Application of Hyperspectral Image to Detect the Content of Total Nitrogen in Fish Meat Volatile Base[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2021, 41(08): 2586-2590. |
| [7] |
ZHANG Zhong-xiong1, 2, 3, ZHANG Dong-li4, TIAN Shi-jie1, 2, 3, FANG Shi-yan1, 2, 3, ZHAO Yan-ru1, 2, 3*, ZHAO Juan1, 2, 3, HU Jin1, 2, 3*. Research Progress of Terahertz Spectroscopy Technique in Food Adulteration Detection[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2021, 41(05): 1379-1386. |
| [8] |
SUN Zong-bao, WANG Tian-zhen, LI Jun-kui, ZOU Xiao-bo*, LIANG Li-ming, LIU Xiao-yu. Detecting Adulterated Beef Meatball Using Hyperspectral Imaging Technology[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2020, 40(07): 2208-2214. |
| [9] |
TANG Yun-feng1, 2, CHAI Qin-qin1, 2*, LIN Shuang-jie1, 2, HUANG Jie1, 2, LI Yu-rong1, 2, WANG Wu1, 2. Study on Detection System of Grape Seed Oil Adulteration Based on Visible/Near Infrared Spectroscopy[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2020, 40(01): 202-208. |
| [10] |
HUANG Fu-rong1, SONG Han1, GUO Liu1, YANG Xin-hao1, LI Li-qun2, ZHAO Hong-xia2*, YANG Mao-xun3*. Determination of Chinese Honey Adulterated with Syrups by Near Infrared Spectroscopy Combined with Chemometrics[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2019, 39(11): 3560-3565. |
| [11] |
WU Xi-yu1, 3, ZHU Shi-ping1*, WANG Qian2, LONG Ying-kai2, XU Dan3, TANG Chao1. Qualitative Identification of Adulterated Huajiao Powder Using Near Infrared Spectroscopy Based on DPLS and SVM[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2018, 38(08): 2369-2373. |
| [12] |
LIU Ping, MA Mei-hu*. Application of Hyperspectral Technology for Detecting Adulterated Whole Egg Powder[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2018, 38(01): 246-252. |
| [13] |
GONG Ai-ping1, WANG Qi2, SHAO Yong-ni2*. Study on the Quality Classification of Sausage with Hyperspectral Infrared Band[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2017, 37(08): 2556-2559. |
| [14] |
WANG Wu1, 2, WANG Jian-ming1, 2, LI Ying3, LI Xiang-hui4, LI Yu-rong1, 2. Study on Diversified Adulteration of Ganoderma Lucidum Spore Oil by RVM and New Clustering Algorithms[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2017, 37(04): 1064-1068. |
| [15] |
YU Ge1, YANG Ren-jie2, LÜ Ai-jun1, TAN En-zhong1. Detection of Adulterated Sesame Oil Based on Synchronous-Asynchronous Two-Dimensional Mid-Infrared Correlation Spectroscopy[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2017, 37(04): 1105-1109. |
|
|
|
|
