Analysis of Seven Terpenoids by HS-SPME Coupled with GC-MS for the Identification and Classification of Different Teas

Author:

Xie Yangzhou1,Yang Yi1,Tian Yu2,Liu Zhimin2,Xu Zhigang2ORCID,Jiang Wei3,Liu Zhihua3,Si Xiaoxi34

Affiliation:

1. Department of Chemistry, Faculty of Science, Kunming University of Science and Technology, Kunming, 650500, China

2. Department of Chemistry, Faculty of Science, Kunming University of Science and Technology, Kunming, 650500, China;

3. Yunnan Key Laboratory of Tobacco Chemistry, R&D Center of China Tobacco Yunnan Industrial Co., Ltd., Kunming, 650231, China

4. Faculty of Environmental Science & Engineering, Kunming University of Science and Technology, Kunming, 650500, China

Abstract

Background: Terpenoids are essential aroma substances in teas, and their concentration brings various characteristics to different teas. Therefore, developing a simple and stable method is necessary for distinguishing tea categories. Objective: In previous studies, more attention was paid to non-chiral isomers of terpenes due to the challenges of separating chiral isomers. So, this paper aims to present a method for effectively separating seven terpenoid substances, including chiral isomers and non-chiral isomers, to facilitate the classification and identification of teas. Methods: A method utilizing headspace solid-phase microextraction coupled with gas chromatography- mass spectrometry was used to isolate and analyze 7 terpenoid compounds. After optimized conditions, the BGB-176 chiral column and the PDMS/DVB fiber were selected for subsequent analysis. Results: This method has a good linear range of 0.1-200 mg/L, and its linear correlation coefficients are between 0.9974 and 0.9994, and the limit of detection and the limit of quantification is 0.02–0.03 and 0.06–0.09 mg/L, respectively. Only five terpenoid substances were detected in a total of 15 tea samples. Furthermore, In the detection of carvon and α-ionone optical isomers, the S isomer was mainly detected. Conclusions: An effective approach was developed to separate and analyze 7 terpenoid compounds in natural and synthetic teas. Meanwhile, 15 tea samples can be identified and classified using principal component analysis.

Publisher

Bentham Science Publishers Ltd.

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