Multiangle discrimination of geographical origin of rice based on analysis of mineral elements and characteristic volatile components |
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| Authors: | Mengjia Du Yong Fang Fei Shen Bo Mao Yanyu Zou Peng Li Fei Pei Qiuhui Hu |
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| Affiliation: | 1. College of Food Science and Engineering, Collaborative Innovation Center for Modern Grain Circulation and Safety, Nanjing University of Finance and Economics, Nanjing, China;2. College of Information Engineering, Nanjing University of Finance and Economics, Nanjing, China;3. College of Food Science and Technology, Nanjing Agricultural University, Nanjing, China |
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| Abstract: | The aim of the study was to develop a multiangle discrimination method which combines mineral elements with volatile compounds to identify the geographical origin of rice. The levels of twenty‐four elements and characteristic volatile compositions of rice samples from different growing area (Panjin, Wuchang and Sheyang city of China) were measured by inductively coupled plasma mass spectrometer (ICP‐MS) and electronic nose (E‐nose), respectively. The obtained data were subject to the analysis of variance (anova ), principal component analysis (PCA) and linear discriminant analysis (LDA). The twenty elements including B, Mg, Al, Ti, V, Cr, Mn, Fe, Ni, Zn, Ga, As, Sr, Cd, Sn, Sb, Ba, Pb, Bi and Tl and eleven sensors including LY2/LG,LY2/G, LY2/AA, LY2/GH, LY2/gCTL, LY2/gCT, P10/1, T30/1,T70/2, P10/2 and PA/2 were mainly contributed to discriminate the origin of the rice, and the average classification accuracy was 93.5%. Compared with one‐dimensional discrimination method, the multiangle analytical method of combining mineral elements with volatile compounds significantly improved the discrimination accuracy of origin of rice. |
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| Keywords: | Discrimination geographical origin mineral elements rice volatile components |
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