Literature DB >> 30100425

Formation mechanism of the oolong tea characteristic aroma during bruising and withering treatment.

Ci-Jie Hu1, Da Li1, Yi-Xiao Ma1, Wei Zhang1, Chen Lin2, Xin-Qiang Zheng1, Yue-Rong Liang1, Jian-Liang Lu3.   

Abstract

To elucidate formation mechanism of oolong tea aroma, the released and remaining volatiles during bruising and withering treatment were analyzed using head space solid-phase microextraction/gas chromatography-mass spectrometry. An increase in proportion of the released terpenoid volatiles (TVs) along with a decrease in proportion of the released C6 green leaf volatiles (GLVs) was observed in both cultivars 'Zhejiang139' and 'Foshou'. Proportion of remaining TVs also fluctuated reversely with GLVs although the level of these volatiles increased remarkably. High ratio of TVs to GLVs was the key chemical foundation of oolong tea characteristic aroma and could be regarded as a good indicator in screening cultivar for suitably producing high quality oolong tea. Combining with transcriptome analysis, increased TVs and GLVs during the treatment might be largely generated through de novo synthesis and modulated at transcript level through up-regulation of genes involved in terpenoids metabolism and enzymatic cleavage of long-chain fatty acids.
Copyright © 2018 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Green leaf volatiles biosynthesis; Released and remaining volatiles; Terpenoids metabolism; Transcriptome analysis; Turning-over and indoor-withering

Mesh:

Substances:

Year:  2018        PMID: 30100425     DOI: 10.1016/j.foodchem.2018.07.016

Source DB:  PubMed          Journal:  Food Chem        ISSN: 0308-8146            Impact factor:   7.514


  18 in total

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2.  Effects of turning over intensity on fatty acid metabolites in postharvest leaves of Tieguanyin oolong tea (Camellia sinensis).

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10.  Comparison of Volatiles in Different Jasmine Tea Grade Samples Using Electronic Nose and Automatic Thermal Desorption-Gas Chromatography-Mass Spectrometry Followed by Multivariate Statistical Analysis.

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Journal:  Molecules       Date:  2020-01-16       Impact factor: 4.411

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