In this paper, light-emitting diode (LED) based two-dimensional fluorescence correlation spectroscopy was used to discriminate tea leaves with different grades. The distance between LED and tea samples was changed as an external variable. As the fluorescence spectral data collected through the experiment was large, principal component regression (PCR) was used to extract the important information and analyze the spectral data. The final two-dimensional fluorescence correlation spectra contour maps showed obvious difference between different tea leaves and the predictive results based on the leave-one-out method. It showed the strong ability of this spectral method for tea classification.

Date Published: 19 February 2015
PDF: 6 pages
Proc. SPIE 9449, The International Conference on Photonics and Optical Engineering (icPOE 2014), 94490Z (19 February 2015); doi: 10.1117/12.2082905

Published in SPIE Proceedings Vol. 9449:
The International Conference on Photonics and Optical Engineering (icPOE 2014)
Ailing Tian; Anand Asundi; Weiguo Liu; Chunmin Zhang, Editor(s)