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近红外光谱分析技术在茶叶鉴别中的应用研究
引用本文:赵杰文,陈全胜,张海东,刘木华.近红外光谱分析技术在茶叶鉴别中的应用研究[J].光谱学与光谱分析,2006,26(9):1601-1604.
作者姓名:赵杰文  陈全胜  张海东  刘木华
作者单位:1. 江苏大学食品与生物工程学院,江苏,镇江,212013
2. 江苏大学食品与生物工程学院,江苏,镇江,212013;云南农业大学工程技术学院,云南,昆明,650201
3. 江苏大学食品与生物工程学院,江苏,镇江,212013;江西农业大学工学院,江西,南昌,330045
基金项目:国家高技术研究发展计划(863计划) , 国家自然科学基金
摘    要: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6 500~5 300cm-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.

关 键 词:近红外光谱  主成分分析  马氏距离  茶叶识别
文章编号:1000-0593(2006)09-1601-04
收稿时间:2005-06-16
修稿时间:2005-09-28

Study on the Identification of Tea Using Near Infrared Reflectance Spectroscopy
ZHAO Jie-wen,CHEN Quan-sheng,ZHANG Hai-dong,LIU Mu-hua.Study on the Identification of Tea Using Near Infrared Reflectance Spectroscopy[J].Spectroscopy and Spectral Analysis,2006,26(9):1601-1604.
Authors:ZHAO Jie-wen  CHEN Quan-sheng  ZHANG Hai-dong  LIU Mu-hua
Institution:1. School of Food and Biological Engineering, Jiangsu University, Zhenjiang 212013, China;2. Faculty of Engineering and Technology, Yunnan Agricultural University, Kunming 650201, China;3. Engineering College, Jiangxi Agricultural University, Nanchang 330045, China
Abstract:A rapid tea identification method by near infrared spectroscopy coupled with pattern recognition based on principal components analysis and Mahalanobis' 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 6 500 and 5 300 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
Keywords:
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