Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

Aroma Identification and Classification in 18 Kinds of Teas (Camellia sinensis) by Sensory Evaluation, Hs-Spme-Gc-Ims/Gc×gc-Ms, and Chemometrics

Version 1 : Received: 2 June 2023 / Approved: 2 June 2023 / Online: 2 June 2023 (09:59:50 CEST)

A peer-reviewed article of this Preprint also exists.

Lin, Y.; Wang, Y.; Huang, Y.; Song, H.; Yang, P. Aroma Identification and Classification in 18 Kinds of Teas (Camellia sinensis) by Sensory Evaluation, HS-SPME-GC-IMS/GC × GC-MS, and Chemometrics. Foods 2023, 12, 2433. Lin, Y.; Wang, Y.; Huang, Y.; Song, H.; Yang, P. Aroma Identification and Classification in 18 Kinds of Teas (Camellia sinensis) by Sensory Evaluation, HS-SPME-GC-IMS/GC × GC-MS, and Chemometrics. Foods 2023, 12, 2433.

Abstract

Tea (Camellia sinensis) is one of the most popular beverages worldwide. Many types of tea prod-ucts continuously emerge in an endless stream; so, the classification or verification of tea be-comes more difficult. Aroma is a vital indicator of tea quality. The present study deals with the identification of aroma compounds in 18 different kinds of tea belonging to three typical tea va-rieties, including green tea, oolong tea, and black tea, using GC-IMS and GC×GC-O-MS. More-over, the clustering of all 18 tea samples and the in-depth correlation analysis between sensory evaluation and instrumental data were performed using the PCA and OPLS-DA. The results re-vealed that in all 18 kinds of tea, a total of 85 aroma compounds were detected by GC-IMS, whereas 318 were detected by GC×GC-O-MS. The PCA result revealed that green tea, oolong tea, and black tea could be clearly separated based on their peak areas. The OPLS-DA result showed that a total of 49 aroma compounds with VIP value > 1.0 could be considered as the potential in-dicators to quickly classify or verify tea types. This study not only compared the aroma differ-ences across different types of teas, but also provided ideas for the rapid monitoring of tea qual-ity and variety.

Keywords

tea (Camellia sinensis); solid phase micro extraction (SPME); two-dimensional comprehensive gas chromatography-olfactometry-mass spectrometry analysis (GC × GC-O-MS); gas chromatog-raphy-ion mobility spectrometry (GC-IMS); aroma compounds

Subject

Biology and Life Sciences, Food Science and Technology

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