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Issue 15, 2016
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Classification of Chinese tea leaves using laser-induced breakdown spectroscopy combined with the discriminant analysis method

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Abstract

Six types of tea leaves, including Longjing green Tea, Mengding Huangya, white tea, Tie Guanyin, Wuyi black tea and Pu'er tea, were analyzed and identified using laser-induced breakdown spectroscopy (LIBS) combined with the discriminant analysis (DA) method. The spectral line intensities of Mg, Mn, Ca, Al, Fe, K, CN (0-0) and C2 (0-0) referenced to C I 247.86 nm were selected as the analysis indexes according to the differences in the LIBS spectra. The results show that 294 samples were identified correctly from a 300 training set and the average correct identification rate was 98%. In addition, 286 samples from a 300 testing set were correctly identified and the average correct identification rate was 95.33%. The misclassification mainly occurred among Mengding Huangya tea, white tea and black tea due to the little differences in the line intensities of Mg, Mn, Ca, Al and C2 (0-0) among these tea leaves. The research results provide a reference method for the identification of tea leaves.

Graphical abstract: Classification of Chinese tea leaves using laser-induced breakdown spectroscopy combined with the discriminant analysis method

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Publication details

The article was received on 13 Dec 2015, accepted on 18 Mar 2016 and first published on 18 Mar 2016


Article type: Paper
DOI: 10.1039/C5AY03260A
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Citation: Anal. Methods, 2016,8, 3204-3209
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    Classification of Chinese tea leaves using laser-induced breakdown spectroscopy combined with the discriminant analysis method

    J. Wang, P. Zheng, H. Liu and L. Fang, Anal. Methods, 2016, 8, 3204
    DOI: 10.1039/C5AY03260A

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