Differentiation of black teas by volatile profile analysis using HS-SPME/GC-MS

Hoang Q. Tuan, Nguyen D. Thinh, Nguyen T. M. Tu
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Authors

  • Hoang Q. Tuan Department of Quality Management, School of Biotechnology and Food Technology, Hanoi University of Science and Technology, No 1 Dai Co Viet Road, Ha Noi, Viet Nam
  • Nguyen D. Thinh Department of Quality Management, School of Biotechnology and Food Technology, Hanoi University of Science and Technology, No 1 Dai Co Viet Road, Ha Noi, Viet Nam
  • Nguyen T. M. Tu Department of Quality Management, School of Biotechnology and Food Technology, Hanoi University of Science and Technology, No 1 Dai Co Viet Road, Ha Noi, Viet Nam

DOI:

https://doi.org/10.15625/0866-708X/54/4/7230

Keywords:

Black tea, Volatile compounds, Geographic Origin

Abstract

A total of fourteen different commercial brands of black teas including Orthodox (OTD) teas and Crush Tear Curl (CTC) teas were collected at different markets with origin from 07 countries, and their volatile flavour compounds (VFC) were compared by analyses, using headspace solid-phase micro-extraction coupled with gas chromatograph mass spectrometry (HS-SPME/GC-MS). Among the 60 volatiles identified, terpenes (10.28%-59.88% PAR), ketones (1.85%-22.02% PAR) and esters (3.13%-418% PAR) represented the most abundant compounds. The result showed that the number of volatile compounds detected in the aromas of CTC teas were lower than in orthodox tea. Furthermore, the low contents of aldehydes and alcohols in the volatile profile of CTC tea in comparison with OTD tea, while the content of esters in the CTC teas is higher than those of OTD teas were found.  Both teas, Orthodox tea and CTC tea, could be classified base on volatile profiles analysis by carrying out principal component analysis (PCA) and cluster analysis.  The data presented in this studied also suggest that, for geographical origin of teas, Terpene Index can be used as a means of discrimination.

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Published

18-08-2016

How to Cite

[1]
H. Q. Tuan, N. D. Thinh, and N. T. M. Tu, “Differentiation of black teas by volatile profile analysis using HS-SPME/GC-MS”, Vietnam J. Sci. Technol., vol. 54, no. 4, pp. 483–493, Aug. 2016.

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Articles