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Proceedings Paper

Tea quality and classification evaluation using multi-wavelength light-emitting diodes induced fluorescence spectroscopy
Author(s): Chao Feng; Xuan Liu; Chunsheng Yan; Sailing He; Liang Mei
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Paper Abstract

In this paper, we demonstrated a detective system to evaluate the quality and classification of different tea samples based on multi-wavelength LED-induced fluorescence spectroscopy. By utilizing multiple excitation wavelengths, we obtained much more physical and chemical information from the detected samples than single excitation wavelength. By utilizing principal component analysis (PCA), we extracted the dominant features of the samples to classify and characterize the tea samples.

Paper Details

Date Published: 4 March 2013
PDF: 6 pages
Proc. SPIE 8641, Light-Emitting Diodes: Materials, Devices, and Applications for Solid State Lighting XVII, 864122 (4 March 2013); doi: 10.1117/12.2004479
Show Author Affiliations
Chao Feng, Zhejiang Univ. (China)
Joint Research Ctr. of Photonics (China)
Xuan Liu, Zhejiang Univ. (China)
Joint Research Ctr. of Photonics (China)
Chunsheng Yan, Zhejiang Univ. (China)
Joint Research Ctr. of Photonics (China)
Sailing He, Zhejiang Univ. (China)
Joint Research Ctr. of Photonics (China)
Liang Mei, Zhejiang Univ. (China)
Joint Research Ctr. of Photonics (China)
Lund Univ. (Sweden)


Published in SPIE Proceedings Vol. 8641:
Light-Emitting Diodes: Materials, Devices, and Applications for Solid State Lighting XVII
Klaus P. Streubel; Heonsu Jeon; Li-Wei Tu; Martin Strassburg, Editor(s)

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