KMS Chongqing Institute of Green and Intelligent Technology, CAS
| Accurate Determination of Geographical Origin of Tea Based on Terahertz Spectroscopy | |
Li, Mingliang; Dai, Guangbin; Chang, Tianying; Shi, Changcheng; Wei, Dongshan; Du, Chunlei ; Cui, Hong-Liang
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| 2017 | |
| 摘要 | This paper proposes a structured model for the identification of green tea, as well as tracing its geographical origins. Considering that the features of different types of green tea are similar under THz time-domain spectroscopy, we designed a program to perform principal component analysis (PCA) of the spectroscopic data of various green tea samples and to determine the data sequences of principal components. We then established a training set for the principal components to train a support vector machine (SVM) model via a genetic algorithm (GA). We used this model to optimize the parameters and develop a GA-based SVM model with an identification rate of 96.25% for the tested samples. Taken together, our results confirm that THz time-domain spectroscopy combined with GA-SVM can be effectively applied to rapidly identify types of green tea with different geographical origins. |
| DOI | 10.3390/app7020172 |
| URL | 查看原文 |
| 发表期刊 | APPLIED SCIENCES-BASEL
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| ISSN | 2076-3417 |
| 卷号 | 7期号:2 |
| 通讯作者 | Chang, TY (reprint author), Jilin Univ, Coll Instrumentat & Elect Engn, Changchun 130061, Jilin, Peoples R China. ; Chang, TY (reprint author), Chinese Acad Sci, Res Ctr Terahertz Technol, Chongqing Key Lab Multiscale Mfg Technol, Chongqing Inst Green & Intelligent Technol, Chongqing 400714, Peoples R China. |
| 收录类别 | SCI |
| WOS记录号 | WOS:000395488900064 |
| 语种 | 英语 |
