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Rapid and direct volatile compound profiling of black and green teas (Camellia sinensis) from different countries with PTR-ToF-MS.
Talanta 152, 45-53 (2016)
Volatile profiles of 63 black and 38 green teas from different countries were analysed with Proton Transfer Reaction-Time of Flight-Mass Spectrometry (PTR-ToF-MS) both for tea leaves and tea infusion. The headspace volatile fingerprints were collected and the tea classes and geographical origins were tracked with pattern recognition techniques. The high mass resolution achieved by ToF mass analyser provided determination of sum formula and tentative identifications of the mass peaks. The results provided successful separation of the black and green teas based on their headspace volatile emissions both from the dry tea leaves and their infusions. The volatile fingerprints were then used to build different classification models for discrimination of black and green teas according to their geographical origins. Two different cross validation methods were applied and their effectiveness for origin discrimination was discussed. The classification models showed a separation of black and green teas according to geographical origins the errors being mostly between neighbouring countries.
Impact Factor
Scopus SNIP
Web of Science
Times Cited
Times Cited
Scopus
Cited By
Cited By
Altmetric
4.035
1.288
29
25
Anmerkungen
Besondere Publikation
Auf Hompepage verbergern
Publikationstyp
Artikel: Journalartikel
Dokumenttyp
Wissenschaftlicher Artikel
Schlagwörter
Geographic Origin Classification ; Headspace Volatile Fingerprinting ; Tea Aroma ; Tea Infusion ; Tea Leaf ; Volatile Profiling; Flight Mass-spectrometry; Flavor Constituents; Organic-compounds; Aroma Compounds; Identification; Components; Pattern; Oolong
Sprache
Veröffentlichungsjahr
2016
HGF-Berichtsjahr
2016
ISSN (print) / ISBN
0039-9140
e-ISSN
0039-9140
Zeitschrift
Talanta
Quellenangaben
Band: 152,
Seiten: 45-53
Verlag
Elsevier
Verlagsort
Amsterdam
Begutachtungsstatus
Peer reviewed
POF Topic(s)
30202 - Environmental Health
Forschungsfeld(er)
Environmental Sciences
PSP-Element(e)
G-504500-001
WOS ID
WOS:000373651000007
Scopus ID
84957570175
PubMed ID
26992494
Erfassungsdatum
2016-02-19