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

Abstract:

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.

• Periodical: Advanced Materials Research (Volumes 503-504)
• Pages: 1601-1604
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.503-504.1601
• Online since: April 2012
• Authors: Jing Ming Ning, Sheng Peng Wang, Zheng Zhu Zhang, Xiao Chun Wan
• Keywords: Black Tea, K-Nearest Neighbor (KNN), Near Infrared Spectroscopy (NIRS), Tea Processing

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