Discrimination of Sri Lankan black teas using fluorescence spectroscopy and linear discriminant analysis

L. Nitin Seetohul (Lead / Corresponding author), Simon M. Scott, William T. O'Hare, Zulfiqur Ali, Meez Islam

    Research output: Contribution to journalArticlepeer-review

    24 Citations (Scopus)

    Abstract

    Background

    The quality of teas is currently graded using trained tea tasters and their evaluation could be subjective. In this study the simple fluorescence based technique of total luminescence spectroscopy (TLS) in conjunction with data classification using principal component analysis (PCA) has been used to discriminate between teas from 11 different Sri Lankan plantations. Solvent extraction of the tea samples was followed by TLS to record excitation-emission matrices (EEM) in the excitation range 250 – 590 nm and emission range 300 – 700 nm.

    Results

    The application of PCA and linear discriminant analysis (LDA) allowed the successful classification of all 11 teas using only the first two principal components. LDA demonstrated how the technique was able to discriminate between all teas correctly with 100% classification.

    Conclusion

    Further development of this work could lead to a simple device which could be used by tea manufacturers instead or alongside trained tea tasters to grade teas.Copyright © 2012 Society of Chemical Industry
    Original languageEnglish
    Pages (from-to)2308-2314
    Number of pages7
    JournalJournal of the Science of Food and Agriculture
    Volume93
    Issue number9
    DOIs
    Publication statusPublished - Jul 2013

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