Rapid and direct volatile compound profiling of black and green teas (Camellia sinensis) from different countries with PTR-ToF-MS

Yener, Sine; Sánchez-López, José A.; Granitto, Pablo M.; Cappellin, Luca; Märk, Tilmann D.; Zimmermann, Ralf; Bonn, Günther K.; Yeretzian, Chahan; Biasioli, Franco

doi:10.1016/j.talanta.2016.01.050

Publication type:	Article in scientific journal
Type of review:	Peer review (publication)
Title:	Rapid and direct volatile compound profiling of black and green teas (Camellia sinensis) from different countries with PTR-ToF-MS
Authors:	Yener, Sine Sánchez-López, José A. Granitto, Pablo M. Cappellin, Luca Märk, Tilmann D. Zimmermann, Ralf Bonn, Günther K. Yeretzian, Chahan Biasioli, Franco
DOI:	10.1016/j.talanta.2016.01.050
Published in:	Talanta
Volume(Issue):	152
Page(s):	45
Pages to:	53
Issue Date:	May-2016
Publisher / Ed. Institution:	Elsevier
ISSN:	0039-9140 1873-3573
Language:	English
Subjects:	Headspace volatile fingerprinting; Tea aroma; Tea infusion; Volatile profiling; Camellia sinensis; Tea; Volatile Organic Compounds; Mass Spectrometry; Geographic origin classification; Proton Transfer Reaction-Time of Flight-Mass Spectrometry
Subject (DDC):	663: Beverage technology
Abstract:	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.
URI:	https://digitalcollection.zhaw.ch/handle/11475/12176
Fulltext version:	Published version
License (according to publishing contract):	Licence according to publishing contract
Departement:	Life Sciences and Facility Management
Organisational Unit:	Institute of Chemistry and Biotechnology (ICBT)
Appears in collections:	Publikationen Life Sciences und Facility Management

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Yener, S., Sánchez-López, J. A., Granitto, P. M., Cappellin, L., Märk, T. D., Zimmermann, R., Bonn, G. K., Yeretzian, C., & Biasioli, F. (2016). Rapid and direct volatile compound profiling of black and green teas (Camellia sinensis) from different countries with PTR-ToF-MS. Talanta, 152, 45–53. https://doi.org/10.1016/j.talanta.2016.01.050

Yener, S. et al. (2016) ‘Rapid and direct volatile compound profiling of black and green teas (Camellia sinensis) from different countries with PTR-ToF-MS’, Talanta, 152, pp. 45–53. Available at: https://doi.org/10.1016/j.talanta.2016.01.050.

S. Yener et al., “Rapid and direct volatile compound profiling of black and green teas (Camellia sinensis) from different countries with PTR-ToF-MS,” Talanta, vol. 152, pp. 45–53, May 2016, doi: 10.1016/j.talanta.2016.01.050.

YENER, Sine, José A. SÁNCHEZ-LÓPEZ, Pablo M. GRANITTO, Luca CAPPELLIN, Tilmann D. MÄRK, Ralf ZIMMERMANN, Günther K. BONN, Chahan YERETZIAN und Franco BIASIOLI, 2016. Rapid and direct volatile compound profiling of black and green teas (Camellia sinensis) from different countries with PTR-ToF-MS. Talanta. Mai 2016. Bd. 152, S. 45–53. DOI 10.1016/j.talanta.2016.01.050

Yener, Sine, José A. Sánchez-López, Pablo M. Granitto, Luca Cappellin, Tilmann D. Märk, Ralf Zimmermann, Günther K. Bonn, Chahan Yeretzian, and Franco Biasioli. 2016. “Rapid and Direct Volatile Compound Profiling of Black and Green Teas (Camellia Sinensis) from Different Countries with PTR-ToF-MS.” Talanta 152 (May): 45–53. https://doi.org/10.1016/j.talanta.2016.01.050.

Yener, Sine, et al. “Rapid and Direct Volatile Compound Profiling of Black and Green Teas (Camellia Sinensis) from Different Countries with PTR-ToF-MS.” Talanta, vol. 152, May 2016, pp. 45–53, https://doi.org/10.1016/j.talanta.2016.01.050.