SIMCA模式识别方法在近红外光谱识别茶叶中的应用

食品科学 ›› 2006, Vol. 27 ›› Issue (4): 186-189.

SIMCA模式识别方法在近红外光谱识别茶叶中的应用

陈全胜, 赵杰文, 张海东, 刘木华

江苏大学生物与环境工程学院；云南农业大学工程技术学院

出版日期:2006-04-15 发布日期:2011-09-13

Application of Near Infrared Reflectance Spectroscopy to the Identification of Tea Using SIMCA Pattern Recognition Method

CHEN Quan-Sheng, ZHAO Jie-Wen, ZHANG Hai-Dong, LIU Mu-Hua

1.School of Biological and Environmental 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

Online:2006-04-15 Published:2011-09-13

摘要/Abstract

摘要： 茶叶快速准确识别方法研究是当前茶叶行业亟待解决的一项重大课题。本研究采用一种近红外光谱结合SIMCA模式识别方法对茶叶进行识别与分类。研究结果表明,选取6500～5300cm-1波长范围内的光谱,通过标准归一化(SNV)预处理后,利用SIMCA的模式识别方法分别为龙井、碧螺春、祁红和铁观音等四类茶叶建立了类模型。主成分数分别为4、5、2和3时,类模型对未知样本的识别效果最佳。在α=5%的显著性水平下,四类模型的对未知茶叶样本的识别率分别是90%、80%、100%和100%,拒绝率全是100%。本论文为快速准确识别茶叶提供了一种新思路。

关键词: 茶叶, 近红外光谱, SIMCA, 识别

Abstract: It is an urgent affair to think up a quick and precise method in the identification of tea varieties. A rapid tea identification method by near infrared reflectance spectroscopy coupled with pattern recognition based on SIMCA was proposed in this paper. In the spectra region between 6500cm-1 and 5300cm-1, four predictive models of Longjing tea, Biluochun tea, Qihong tea and Tieguanyin tea were built separately by the standard normal variate (SNV) preprocessing method with SIMCA pattern recognition method. The results showed that four models are the best when 4, 5, 2 and 3 principal components were used separately in building models. Under theα=5% significance level, the identification rates of four models for the unknown samples are 90%, 80%, 100% and 100% in turn by means of NIR wave lengths, while, the rejection rates of four models are all 100%. A new idea by the quick and precise identification of tea was offered in this paper.

Key words: tea, near-infrared spectroscopy, Soft Independent Modelling of Class Analogy(SIMCA), identification

陈全胜, 赵杰文, 张海东, 刘木华. SIMCA模式识别方法在近红外光谱识别茶叶中的应用[J]. 食品科学, 2006, 27(4): 186-189.

CHEN Quan-Sheng, ZHAO Jie-Wen, ZHANG Hai-Dong, LIU Mu-Hua. Application of Near Infrared Reflectance Spectroscopy to the Identification of Tea Using SIMCA Pattern Recognition Method[J]. FOOD SCIENCE, 2006, 27(4): 186-189.

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