Literature DB >> 29884390

The enantiomeric distributions of volatile constituents in different tea cultivars.

Bing Mu1, Yin Zhu2, Hai-Peng Lv3, Han Yan1, Qun-Hua Peng3, Zhi Lin4.   

Abstract

Although the enantiomeric distribution of chiral volatiles presents great potential in discrimination of tea cultivars and their geographic origins, this area has received little attention. Thus, we herein aimed to determine the relationships between tea cultivars and the enantiomeric distributions of their chiral volatile constituents. Headspace solid-phase microextraction (HS-SPME) and enantioselective gas chromatography-mass spectrometry (Es-GC-MS) were employed to quantify 15 volatile components in 22 tea cultivars from different locations within China. The tea cultivars were successfully differentiated by their geographical origins, and the concentrations of R-linalool, S-citronellol, S-E-nerolidol, (1R, 2R)-methyl jasmonate, S-α-ionone, and the two enantiomers of linalool oxide A differed significantly among the different groups. It should also be noted that tea processing methods greatly influenced the formation of volatile enantiomers. Our results demonstrated that the enantiomeric distribution of volatile constituents closely correlates with the geographical origins, leaf types, and manufacturing suitabilities of the tea cultivars examined herein.
Copyright © 2018 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Enantiomeric ratio; Es-GC–MS; Geographical origins; Multivariate statistical analysis; Tea cultivars; Volatile constituents

Mesh:

Substances:

Year:  2018        PMID: 29884390     DOI: 10.1016/j.foodchem.2018.05.094

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


  6 in total

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4.  A Comparative Metabolomic Analysis Reveals Difference Manufacture Suitability in "Yinghong 9" and "Huangyu" Teas (Camellia sinensis).

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Journal:  Front Plant Sci       Date:  2021-12-14       Impact factor: 5.753

5.  Internet of Food (IoF), Tailor-Made Metal Oxide Gas Sensors to Support Tea Supply Chain.

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Journal:  Sensors (Basel)       Date:  2021-06-22       Impact factor: 3.576

6.  Changes in Tea Plant Secondary Metabolite Profiles as a Function of Leafhopper Density and Damage.

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Journal:  Front Plant Sci       Date:  2020-05-29       Impact factor: 5.753

  6 in total

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