基于近红外光谱的黄山毛峰茶鲜叶品质分析及等级快速评价

王曼; 张正竹; 宁井铭; 韦玲冬; 李露青

doi:10.13386/j.issn1002-0306.2014.22.003

基于近红外光谱的黄山毛峰茶鲜叶品质分析及等级快速评价

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

摘要

摘要: 为科学分析茶鲜叶品质,快速直观评价鲜叶等级,采用偏最小二乘（PLS）法建立茶鲜叶中含水率、全氮量和粗纤维含量的近红外定量模型,通过分析近红外光谱-鲜叶内含成分-鲜叶等级间相关性,得到鲜叶等级近红外预测模型。结果表明,茶鲜叶中含水率、全氮量、粗纤维预测模型相关系数（RP）分别为0.9109,0.8989,0.8895,预测均方根误差（RMSEP）为0.361,0.103,0.195,鲜叶等级NIR模型的判别率为93.10%,模型有较高的预测性能。在此基础上自主研发的SNIR-2101茶叶品质分析仪适用性良好,这为茶鲜叶品质分析和等级快速评价提供新思路。

Abstract: 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.