Effects of Different Fermentation Methods on Flavor Quality of Liupao Tea Using GC-Q-TOF-MS and Electronic Nose Analyses

Author:

Zhou Xiaohui1,Tian Di2,Zhou Hongjie12,Dong Rui1,Ma Chenyang1,Ren Ling1,Yang Xueyi1,Wang Qingyi1,Chen Ning1ORCID,Yang Liubo1ORCID,Tang Xuan1,Bi Yixin1,Liu Yapeng1,Deng Xiujuan13,Wang Baijuan13,Li Yali1

Affiliation:

1. College of Tea Science, Yunnan Agricultural University, Kunming 650500, China

2. College of Food Science and Technology, Yunnan Agricultural University, Kunming 650500, China

3. Yunnan Organic Tea Industry Intelligent Engineering Research Center, Yunnan Agricultural University, Kunming 650201, China

Abstract

To further develop Liupao tea products and enhance their flavor, this study investigated the effects of different fermentation methods on the aroma quality of Liupao tea. The aroma quality of Liupao tea was comprehensively analyzed using HS-SPME in combination with GC-Q-TOF-MS, electronic nose, and sensory evaluations. Electronic nose detection showed that the aroma fingerprints of Liupao tea samples with different fermentation methods were different. Sulfides, alcohols, ketones, and methyls were the main aroma categories affecting the aroma of the four groups of Liupao tea samples. GC-Q-TOF-MS analysis revealed significant differences in the composition of aroma components among the four fermentation methods of Liupao tea (p < 0.05). Furthermore, the total amount of aroma compounds was found to be highest in the group subjected to hot fermentation combined with the inoculation of Monascus purpureus (DMl group). Based on the OPLS-DA model, candidate differential aroma components with VIP > 1 were identified, and characteristic aroma compounds were selected based on OAV > 10. The key characteristic aroma compounds shared by the four groups of samples were 1,2,3-Trimethoxybenzene with a stale aroma and nonanal with floral and fruity aromas. The best sensory evaluation results were obtained for the DMl group, and its key characteristic aroma compounds mainly included 1,2,3-Trimethoxybenzene, nonanal, and cedrol. The results of this study can guide the development of Liupao tea products and process optimization.

Funder

Intelligent Tea Industry Science and Technology Mission in Menghai County, Yunnan Province

Yunnan Tea Industry Artificial Intelligence and Big Data Application Innovation Team

Yunnan Association for Science and Technology Academician Expert Workstation-Nanjian Yi Autonomous County Tea Workstation-Li Yali Expert Workstation Yun ke Xie han

Publisher

MDPI AG

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