Chinese Journal of Quantum Electronics, Volume. 34, Issue 5, 513(2017)

Detection of fresh tea leaves of Zhuye by Raman spectroscopy

Changshui CHEN*, Xingzhe SHI, Qian LI, and Zhaowei LIU
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    Based on laser Raman spectroscopy technology, the quality identification of fresh tea leaves and growing region discrimination are investigated. Fresh leaves of Zhuye (the original leaves) of six villages in Qimen County, Anhui, China are detected. Results show that there are strong Raman peaks at 748, 831, 1005, 1158, 1328, 1527, 1609 cm-1 in the original leaves from different regions, but the intensities of peaks are different in each group. Principal component analysis (PCA) and linear discriminant analysis (LDA) are used to analyze Raman spectra of the original leaves, and it’s found that the discrimination index of original leaves from different regions is 70.7%.

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    CHEN Changshui, SHI Xingzhe, LI Qian, LIU Zhaowei. Detection of fresh tea leaves of Zhuye by Raman spectroscopy[J]. Chinese Journal of Quantum Electronics, 2017, 34(5): 513

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    Paper Information

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    Received: May. 9, 2016

    Accepted: --

    Published Online: Oct. 30, 2017

    The Author Email: Changshui CHEN (cschen@aiofm.ac.cn)

    DOI:10.3969/j.issn.1007-5461. 2017.05.001

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