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Classification of geographical origin of Sri Lankan black tea using discriminant function analysis Cover

Classification of geographical origin of Sri Lankan black tea using discriminant function analysis

Open Access
|Dec 2017

Abstract

Designated food products are considered the best on the basis of their authenticity. These products have a much higher market price and therefore, subjected to frauds. Developing a scientific mechanism to ensure authenticity is a timely requirement. The objective of this study was to establish a base to classify geographical origins of Sri Lankan black tea using chemical compounds of tea coupled with discriminant function analysis. Thirteen different geographical origins which have a distinct character unique to the region were considered and eleven chemical parameters were analysed in the study. The highest rate of correctly classified cases was observed in Nuwara Eliya tea followed by Mid Country, Uva Medium, Matara/Akuressa and Maskeliya. Total colour was sufficient to discriminate Nuwaraeliya tea. Thearubugins was the most important chemical compound to discriminate between high grown, low grown and mid grown tea. This study gives an insight on the potential to classify Sri Lankan black tea using the profile of chemical constituents and to ensure the authenticity of Ceylon speciality tea in order to upkeep the market share.
Language: English
Page range: 12 - 24
Published on: Dec 31, 2017
Published by: Postgraduate Institute of Agriculture (PGIA)
In partnership with: Paradigm Publishing Services

© 2017 T. U. S. Peiris, C. K. Walgampaya, R. O. Thattil, I. S. B. Abeysinghe, published by Postgraduate Institute of Agriculture (PGIA)
This work is licensed under the Creative Commons License.