|
|
|
|
|
|
Study on Diversified Adulteration of Ganoderma Lucidum Spore Oil by RVM and New Clustering Algorithms |
WANG Wu1, 2, WANG Jian-ming1, 2, LI Ying3, LI Xiang-hui4, LI Yu-rong1, 2 |
1. College of Electrical Engineering and Automation, Fuzhou University, Fuzhou 350116, China
2. Fujian Key Lab of Medical Instrument and Pharmaceutical Technology, Fuzhou 350002, China
3. College of Biological Science and Engineering, Fuzhou University, Fuzhou 350116, China
4. Medical Technology and Engineering College, Fujian Medical University, Fuzhou 350004, China |
|
|
Abstract In recent years, food adulteration of various kinds has become a severe problem in food safety detection. In order to get rid of the limitations of traditional qualitative identification of new food adulteration, Fourier transform near-infrared spectroscopy (FT-NIR) was used to collect the spectrum ranging from 12 400 to 4 000 cm-1. The pure ganoderma lucidum spore oil adulterated with peanut oil, corn oil, coix seed oil, and hogwash oil were investigated in this study, where the ganoderma lucidum spore oil adulterated with hogwash oil was taken as the new category of food adulteration. Then, Multiple Relevance Vector Machine (RVM) classifiers were constructed with calibration samples of the first 4 categories. The prediction samples and ganoderma lucidum spore oil adulterated with hogwash oil were discriminated by the 4 kinds of classifier. In addition, the discriminated results were further verified with new clustering algorithm. Results showed that the discriminant accuracy of the first four categories was close to 93.75% with RVM classifier, but the ganoderma lucidum spore oil adulterated with hogwash oil was mistaken for pure ganoderma lucidum spore oil because of the limitations of model. So a new clustering algorithm based on local density and distance decision graph was applied to verify that. It was found that the cluster centers were 1 when the samples only contained pure ganoderma lucidum spore oil, however, the cluster centers were 2 when the samples mixed with pure ganoderma lucidum spore and adulterated with hogwash oil. The results demonstrated the FT-NIR in combination with RVM classifier and new clustering algorithm could be used for the identification of the adulterant in the pure ganoderma lucidum spore oil and qualitatively identify new category of food adulteration, providing a new method to solve the problem of food diversified adulteration.
|
Received: 2016-06-06
Accepted: 2016-10-30
|
|
|
[1] SONG Yu-feng, WANG Wei-shan, YANG Xue-jun, et al(宋玉峰, 王微山, 杨学军, 等). Food and Nutrition in China(中国食物与营养),2012,18(3):9.
[2] HU Yan-yun,XU Hui-qun,SONG Wei,et al(胡艳云,徐慧群,宋 伟,等). Food Science(食品科学),2014,35(6):176.
[3] Cercaci L,Rodriguez-Estrada M T,Lercker G. Journal of Chromatography A,2003,985:211.
[4] Zabaras D,Gordon M H. Food Chemistry,2004,84:475.
[5] WANG Shi-cheng,FAN Jing-shan,WANG Yan-hong,et al(王世成,范津衫,王颜红,等). Chinese Journal of Analytical Chemistry(分析化学),2014,42(5):741.
[6] SUN Tong, HU Tian, XU Wen-li, et al(孙 通, 胡 田, 许文丽). China Oils and Fats(中国油脂),2013,38(10):75.
[7] Zhang L G,Zhang X,Ni L J,et al. Food Chemistry,2014,145:342.
[8] ZHANG Yan-nan,CHEN Lan-zhen,XUE Xiao-feng,et al(张妍楠,陈兰珍,薛晓锋,等). Spectroscopy and Spectral Analysis(光谱学与光谱分析),2015,35(9):032.
[9] Tipping M E. Journal of Machine Learning Research,2001,1(3):211.
[10] Caesarendra W,Widodo A,Yang B S. Mechanical Systems and Signal Processing,2010,24(4):1161.
[11] Rodriguez A,Laio A. Science,2014,344(6191):1492.
[12] WU Jing-zhu,SHI Rui-jie,CHEN Yan,et al(吴静珠,石瑞杰,陈 岩,等). Journal of the Chinese Cereals and Oils Association(中国粮油学报),2015,30(2):118. |
[1] |
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. |
[2] |
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. |
[3] |
GU Jie1, CHEN Hua-zhou1, 2*, CHEN Wei-hao1, MO Li-na1, WEN Jiang-bei2. FT-NIR Spectroscopy Quasi-Qualitative Determination Applied to the Waveband Selection for Soil Nitrogen[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2020, 40(02): 562-566. |
[4] |
YUAN Ying, WANG Wei*, CHU Xuan, XI Ming-jie . Selection of Characteristic Wavelengths Using SPA and Qualitative Discrimination of Mildew Degree of Corn Kernels Based on SVM[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2016, 36(01): 226-230. |
[5] |
WANG Ruo-nan, YUE Tian-li*, YUAN Ya-hong, WANG Hu-xuan, SONG Ya-di, WANG Jun . Differentiation and Identification of Alicyclobacillus Strains by Fourier Transform Near-Infrared Spectroscopy [J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2015, 35(11): 3073-3077. |
[6] |
REN Wei-bo1,2,HAN Jian-guo1*,ZHANG Yun-wei1,GUO Hui-qin3. Application of Near-Infrared Reflectance Spectroscopy to the Discrimination of Salt Tolerance of Alfalfa Cultivars[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2009, 29(02): 386-388. |
|
|
|
|