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Tea classification and quality assessment using laser-induced fluorescence and chemometric evaluation
KTH, School of Information and Communication Technology (ICT), Centres, Zhejiang-KTH Joint Research Center of Photonics, JORCEP.
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2012 (English)In: Applied Optics, ISSN 1559-128X, Vol. 51, no 7, 803-811 p.Article in journal (Refereed) Published
Abstract [en]

Laser-induced fluorescence was used to evaluate the classification and quality of Chinese oolong teas and jasmine teas. The fluorescence of four different types of Chinese oolong teas-Guangdong oolong, North Fujian oolong, South Fujian oolong, and Taiwan oolong was recorded and singular value decomposition was used to describe the autofluoresence of the tea samples. Linear discriminant analysis was used to train a predictive chemometric model and a leave-one-out methodology was used to classify the types and evaluate the quality of the tea samples. The predicted classification of the oolong teas and the grade of the jasmine teas were estimated using this method. The agreement between the grades evaluated by the tea experts and by the chemometric model shows the potential of this technique to be used for practical assessment of tea grades.

Place, publisher, year, edition, pages
2012. Vol. 51, no 7, 803-811 p.
National Category
Physical Sciences
Identifiers
URN: urn:nbn:se:kth:diva-92998DOI: 10.1364/AO.51.000803ISI: 000301190000032OAI: oai:DiVA.org:kth-92998DiVA: diva2:514950
Funder
Swedish Research CouncilKnut and Alice Wallenberg Foundation
Note

QC 20120411

Available from: 2012-04-11 Created: 2012-04-10 Last updated: 2016-12-22Bibliographically approved

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He, Sailing

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Mei, LiangSomesfalean, GabrielHe, SailingSvanberg, Sune
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