Use of NIR Spectroscopy Combined with Recognition Methods for the Identification of Black teas from Different Regions

摘要：

　　Near-infrared (NIR) spectroscopy,combined with pattern recognition,was applied in this study for the rapid identification of Black tea from different origins.The K-Nearest Neighbor model recognition method was used for the establishment of a tea origin recognition model,which involved optimization of the principal component factors (PCs) and the identification rate using a cross-validation method.The experimental results showed that,after standard normal variant spectral preprocessing,an optimized model was obtained when the PCs were equal to three,with the cross-validation recognition rate and the predicted recognition rate reaching 98.1% and 93.3%,respectively.

关键词： Near-infrared spectroscopy K-Nearest Neighbor Tea processing Black tea

作者: Jingming Ning Shengpeng Wang Zhengzhu Zhang Xiaochun Wan

作者单位: Key Laboratory of Tea & Medicinal Plants and Product Safety,Ministry of Agriculture,Hefei,230036,China

会议类型: 国际会议

会议名称: the 2012 2nd International Conference on Frontiers of Manufacturing Science and Measuring Technology (第二届制造科学与检测技术国际会议(ICFMM 2012))

会议地点: 西安

会议语种:英文

页码: 1601-1604

在线出版日期: 2012-06-12（万方平台首次上网日期，不代表论文的发表时间）