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Discrimination of Sri Lankan black teas using fluorescence spectroscopy and linear discriminant analysis.
J Sci Food Agric. 2013 Jul; 93(9):2308-14.JS

Abstract

BACKGROUND

The quality of teas is currently graded using trained tea tasters, whose evaluation can sometimes 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) was applied 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 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 that could be used by tea manufacturers instead of or alongside trained tea tasters to grade teas.

Authors+Show Affiliations

Centre for Forensic and Legal Medicine, University of Dundee, Dundee, DD1 4HN, UK. l.n.seetohul@dundee.ac.ukNo affiliation info availableNo affiliation info availableNo affiliation info availableNo affiliation info available

Pub Type(s)

Comparative Study
Journal Article
Validation Study

Language

eng

PubMed ID

23371833

Citation

Seetohul, L Nitin, et al. "Discrimination of Sri Lankan Black Teas Using Fluorescence Spectroscopy and Linear Discriminant Analysis." Journal of the Science of Food and Agriculture, vol. 93, no. 9, 2013, pp. 2308-14.
Seetohul LN, Scott SM, O'Hare WT, et al. Discrimination of Sri Lankan black teas using fluorescence spectroscopy and linear discriminant analysis. J Sci Food Agric. 2013;93(9):2308-14.
Seetohul, L. N., Scott, S. M., O'Hare, W. T., Ali, Z., & Islam, M. (2013). Discrimination of Sri Lankan black teas using fluorescence spectroscopy and linear discriminant analysis. Journal of the Science of Food and Agriculture, 93(9), 2308-14. https://doi.org/10.1002/jsfa.6044
Seetohul LN, et al. Discrimination of Sri Lankan Black Teas Using Fluorescence Spectroscopy and Linear Discriminant Analysis. J Sci Food Agric. 2013;93(9):2308-14. PubMed PMID: 23371833.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - Discrimination of Sri Lankan black teas using fluorescence spectroscopy and linear discriminant analysis. AU - Seetohul,L Nitin, AU - Scott,Simon M, AU - O'Hare,William T, AU - Ali,Zulfiqur, AU - Islam,Meez, Y1 - 2013/02/01/ PY - 2012/07/17/received PY - 2012/12/08/revised PY - 2013/01/03/accepted PY - 2013/2/2/entrez PY - 2013/2/2/pubmed PY - 2014/1/29/medline SP - 2308 EP - 14 JF - Journal of the science of food and agriculture JO - J Sci Food Agric VL - 93 IS - 9 N2 - BACKGROUND: The quality of teas is currently graded using trained tea tasters, whose evaluation can sometimes 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) was applied 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 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 that could be used by tea manufacturers instead of or alongside trained tea tasters to grade teas. SN - 1097-0010 UR - https://www.unboundmedicine.com/medline/citation/23371833/Discrimination_of_Sri_Lankan_black_teas_using_fluorescence_spectroscopy_and_linear_discriminant_analysis_ L2 - https://doi.org/10.1002/jsfa.6044 DB - PRIME DP - Unbound Medicine ER -