近红外光谱分析技术在茶叶鉴别中的应用研究

Study on the Identification of Tea Using Near Infrared Reflectance Spectroscopy

茶叶快速准确鉴别方法研究是当前茶叶行业亟待解决的一个重要课题。该研究采用近红外光谱结合主成分-马氏距离模式识别方法鉴别了龙井、碧螺春、毛峰和铁观音4种中国名茶。研究结果表明，在6500-5300cm^-1波数范围内的光谱，通过MSC预处理方法，用8个主成分建立的模型最好，模型对校正集样本和预测集样本的鉴别率分别达到98．75％和95％。该研究为快速准确鉴别茶叶提供了一种新思路。

A rapid tea identification method by near infrared spectroscopy coupled with pattern recognition based on principal components analysis and Mahalanohis＇ distance technique was proposed. Four famous brand teas in China were studied, including Longjing tea, Biluochun tea, Maofeng tea and Tieguanyin tea in the experiment. In the spectral region between 6500 and 5300 cm^-1, through preprocessing method of MSC（multiplicative scatter comection）, the prediction model was built. The result showed that the model was the best with 8 principal component factors. The rates of identification in calibration set samples and prediction set samples were 98. 75% and 95%, respectively. A new idea about quick and precise identification of tea was offered.