4 March 2013 Tea quality and classification evaluation using multi-wavelength light-emitting diodes induced fluorescence spectroscopy
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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.
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Chao Feng, Xuan Liu, Chunsheng Yan, Sailing He, Liang Mei, "Tea quality and classification evaluation using multi-wavelength light-emitting diodes induced fluorescence spectroscopy", Proc. SPIE 8641, Light-Emitting Diodes: Materials, Devices, and Applications for Solid State Lighting XVII, 864122 (4 March 2013); doi: 10.1117/12.2004479; https://doi.org/10.1117/12.2004479
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