文献类型： 外文期刊

作者： Meng, Weijun ¹ ; Xu, Xiangnan ¹ ; Cheng, Kian-Kai ² ; Xu, Jingjing ¹ ; Shen, Guiping ¹ ; Wu, Zhidan ³ ; Dong, Jiyang ¹ ;

作者机构： 1.Xiamen Univ, Dept Elect Sci, Fujian Prov Key Lab Plasma & Magnet Resonance, Xiamen 361005, Peoples R China

2.Univ Teknol Malaysia, Innovat Ctr Agritechnol, Dept Bioproc & Polymer Engn, Johor Baharu 81310, Malaysia

3.Fujian Acad Agr Sci, Tea Res Inst, Fuan 355015, Peoples R China

关键词： Oolong tea;Geographical origin discrimination;NMR;NIR;Data fusion

期刊名称：FOOD ANALYTICAL METHODS （ 影响因子：3.366； 五年影响因子：3.07 ）

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收录情况： SCI

摘要： A total of 90 oolong tea samples were collected from three different growing places in the Fujian province of China. Both proton nuclear magnetic resonance (H-1 NMR) and near-infrared spectroscopy (NIR) were used to analyze the collected tea samples. With the aid of chemometric methods, differential components in H-1 NMR data and characteristic wavenumbers from NIR spectra were identified. Since NMR and NIR provide complementary information for tea samples, data fusion was carried out by combining H-1 NMR and NIR spectra of the collected tea sample. Experimental results showed that a better discrimination accuracy of geographical origins of oolong tea could be achieved by combining NMR and NIR data (86.2-95.8%), as compared to using NMR data (68.2-78.7%) or NIR data (80.0-89.3%) alone. The current data suggested that a combination of NMR and NIR methods could serve as an efficient way for geographical origin discrimination and qualitative control of oolong tea.