Accurate Determination of Geographical Origin of Tea Based on Terahertz Spectroscopy

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.

[1]  Hongjian Zhang,et al.  Qualitative and Quantitative Detection of Pesticides With Terahertz Time-Domain Spectroscopy , 2010, IEEE Transactions on Microwave Theory and Techniques.

[2]  Li Wang.  RAPID DETECTION OF SUGAR CONTENT AND pH IN BEER BY USING SPECTROSCOPY TECHNIQUE COMBINED WITH SUPPORT VECTOR MACHINES: RAPID DETECTION OF SUGAR CONTENT AND pH IN BEER BY USING SPECTROSCOPY TECHNIQUE COMBINED WITH SUPPORT VECTOR MACHINES , 2008 .

[3]  Kang Hai-ning,et al.  Trace Element Determination in Teas and Discrimination Analysis for Teas , 2006 .

[4]  Andrew Fisher,et al.  The classification of tea according to region of origin using pattern recognition techniques and trace metal data , 2003 .

[5]  Lionel Canioni,et al.  Review in terahertz spectral analysis , 2013 .

[6]  E. Heilweil,et al.  Pulsed terahertz spectroscopy of DNA, bovine serum albumin and collagen between 0.1 and 2.0 THz , 2000 .

[7]  N. Togari,et al.  Pattern recognition applied to gas chromatographic profiles of volatile components in three tea categories , 1995 .

[8]  Nie Guang-hua.  Distinction for different places of origin tea by thermoanalysis , 2004 .

[9]  Vladimir Vapnik,et al.  An overview of statistical learning theory , 1999, IEEE Trans. Neural Networks.

[10]  卢树华 Lu Shuhua.  Detection of Explosives by Terahertz Spectroscopic Techniques , 2012 .

[11]  Yin Zh,et al.  A discussion on the methodology of tea sensory assessment , 2015 .

[12]  Qiang Wang,et al.  PLS model investigation of thiabendazole based on THz spectrum , 2013 .

[13]  M. Koch,et al.  Highly accurate optical material parameter determination with THz time-domain spectroscopy. , 2007, Optics express.

[14]  Xiang Zhang,et al.  A first principle study of terahertz (THz) spectra of acephate , 2008 .

[15]  A. V.DavidSánchez,et al.  Advanced support vector machines and kernel methods , 2003, Neurocomputing.

[16]  J Stiens,et al.  Hydration shell parameters of aqueous alcohols: THz excess absorption and packing density. , 2012, The journal of physical chemistry. B.

[17]  Jian Zhao,et al.  Division-based rainfall-runoff simulations with BP neural networks and Xinanjiang model , 2009, Neurocomputing.

[18]  Liviu Holonec,et al.  Legal Protection for Geographical Indications and Designations of Origin for Agricultural Products and Foodstuffs , 2009 .

[19]  Wenhui Fan,et al.  Broadband terahertz time-domain spectroscopy of drugs-of-abuse and the use of principal component analysis. , 2009, The Analyst.

[20]  Gao Hui.  Problems and suggestions of the sensory inspection in tea , 2013 .

[21]  Hoeil Chung,et al.  Impact of pellet thickness on quantitative terahertz spectroscopy of solid samples in a polyethylene matrix. , 2013, Analytical chemistry.

[22]  Toru Kurabayashi,et al.  A Membrane Method for Terahertz Spectroscopy of Amino Acids , 2009, Analytical sciences : the international journal of the Japan Society for Analytical Chemistry.

[23]  Ting He,et al.  [Applications of terahertz spectroscopy in illicit drugs detection]. , 2013, Guang pu xue yu guang pu fen xi = Guang pu.

[24]  Ying Xia.  RAPID DETECTION OF SUGAR CONTENT AND pH IN BEER BY USING SPECTROSCOPY TECHNIQUE COMBINED WITH SUPPORT VECTOR MACHINES , 2008 .