Study on quality analysis and class rapid evaluation of tea leaf materials based on near infrared technology

Three quantitative analysis models for fresh tea leaves, including moisture, total nitrogen and crude fiber, were built by applying near infrared spectroscopy combined with partial squares (NIR-PLS) , in order to analyze the quality of the fresh tea leaves, class correlation model based on three main contents by BP-ANN were built. Results showed that both the calibration samples and the prediction samples of models had acquired a high fitting degree, the value of RPwere 0.9109, 0.8989, 0.8895, RMSEP were 0.361, 0.103, 0.195.Based on the high correlation between near-infrared spectroscopy, fresh tea leaves component and class, class model were built by NIR-PLS, the discrimination ratio were 93.10%, the model had high prediction precision.This provided a new way of thinking for quality analysis and class rapid evaluation of tea leaf materials.