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Multiangle discrimination of geographical origin of rice based on analysis of mineral elements and characteristic volatile components
Author(s) -
Du Mengjia,
Fang Yong,
Shen Fei,
Mao Bo,
Zou Yanyu,
Li Peng,
Pei Fei,
Hu Qiuhui
Publication year - 2018
Publication title -
international journal of food science and technology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.831
H-Index - 96
eISSN - 1365-2621
pISSN - 0950-5423
DOI - 10.1111/ijfs.13795
Subject(s) - principal component analysis , electronic nose , linear discriminant analysis , chemistry , analytical chemistry (journal) , mineral , mathematics , mineralogy , chromatography , statistics , materials science , organic chemistry , nanotechnology
Summary 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 LY 2/ LG , LY 2/G, LY 2/ AA , LY 2/ GH , LY 2/ gCTL , LY 2/ 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.