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Application of Near Infrared Reflectance Spectroscopy in Identification of Different Classified Tea

CAI Jian-rong et al(School of Food & Biological Engineering,Jiangsu University,Zhenjiang,Jiangsu 212013)  
With 4 kinds of famous tea of Longjing,Biluochun,Qi and Tieguanyin as test materials,the feasibility of identification and classify of tea was studied by using near infrared reflectance spectroscopy coupled with pattern recognition based on KNN.It was found that in the spectra range between 6 500 cm-1 and 5 300 cm-1,the models of tea variety identification were built separately with KNN pattern recognition method after the pretreatment by standard normal variate transformation(SNV).Results showed that the KNN identification models were optimal when 4 principal components factors were used in building models,with the identification being all 100 % in samples of training set and forecast set.This conclusion offered a new idea for the quick and precise identification of tea.
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