Characterization of the volatile components in green tea by IRAE-HS-SPME/GC-MS combined with multivariate analysis

PloS One
Yanqin YangYu-Liang Deng

Abstract

In the present work, a novel infrared-assisted extraction coupled to headspace solid-phase microextraction (IRAE-HS-SPME) followed by gas chromatography-mass spectrometry (GC-MS) was developed for rapid determination of the volatile components in green tea. The extraction parameters such as fiber type, sample amount, infrared power, extraction time, and infrared lamp distance were optimized by orthogonal experimental design. Under optimum conditions, a total of 82 volatile compounds in 21 green tea samples from different geographical origins were identified. Compared with classical water-bath heating, the proposed technique has remarkable advantages of considerably reducing the analytical time and high efficiency. In addition, an effective classification of green teas based on their volatile profiles was achieved by partial least square-discriminant analysis (PLS-DA) and hierarchical clustering analysis (HCA). Furthermore, the application of a dual criterion based on the variable importance in the projection (VIP) values of the PLS-DA models and on the category from one-way univariate analysis (ANOVA) allowed the identification of 12 potential volatile markers, which were considered to make the most important contribution to th...Continue Reading

References

Sep 19, 2002·Journal of Agricultural and Food Chemistry·Kenji Kumazawa, Hideki Masuda
Aug 9, 2011·Journal of Chromatography. a·Chung-Hung ChanFabian Wai-Lee Kung
May 31, 2012·Journal of Agricultural and Food Chemistry·Cesarettin AlasalvarVural Gökmen
Jan 13, 2016·Journal of Food Science·Ershad SheibaniSean F O'Keefe

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Software Mentioned

SIMCA
SPSS
DA
Agilent MassHunter Workstation
PLS

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