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Characterization of key aroma compounds and enantiomer distribution in Longjing tea.
Zhu, JianCai; Zhu, Yin; Wang, Kai; Niu, YunWei; Xiao, ZuoBing.
Afiliação
  • Zhu J; Department of Perfume and Aroma Technology, Shanghai Institute of Technology, Shanghai, China.
  • Zhu Y; Key Laboratory of Tea Biology and Resource Utilization of Ministry of Agriculture, Tea Research Institute, Chinese Academy of Agricultural Sciences, Hangzhou 310008, China.
  • Wang K; Technology Center, China Tobacco Yunnan Industrial Co., Ltd, Kunming 650231, China.
  • Niu Y; Department of Perfume and Aroma Technology, Shanghai Institute of Technology, Shanghai, China. Electronic address: nyw@sit.edu.cn.
  • Xiao Z; Department of Perfume and Aroma Technology, Shanghai Institute of Technology, Shanghai, China. Electronic address: sitflavor@163.com.
Food Chem ; 361: 130096, 2021 Nov 01.
Article em En | MEDLINE | ID: mdl-34023691
ABSTRACT
By comparing the enantiomers of authentic Longjing tea, the authenticity of Longjing tea can be effectively distinguished. In this study, 18 enantiomers were identified using a chiral column. At the same time, the unique enantiomer ratio (ER) of Longjing tea (LG1, LG2, LG3, LG4, LG5) of different grades and origins was determined. The ER can provide a theoretical basis for distinguishing Longjing tea of different grades and origins, and for identifying the authenticity of Longjing tea. The ER ratio of (R)-(-)-1-octen-3-ol and (S)-(+)-1-octen-3-ol can be used to identify LG1 (7129). The ER ratio of (S)-(+)-α-ionone and (R)-(-)-α-ionone can be used to identify LG2 (6535). The ER ratio of (R)-(-)-dihydroactinidiolide to (S)-(+)-dihydroactinidiolide (7129) can also be used to detect LG3. The ER ratio of (R)-(+)-Limonene and (S)-(-)-limonene can be used to identify LG4 (2080). The ER ratio of (R)-(-)-linalool to (S)-(+)-linalool (1283) was available to identify LG5.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Chá / Análise de Alimentos / Odorantes Idioma: En Ano de publicação: 2021 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Chá / Análise de Alimentos / Odorantes Idioma: En Ano de publicação: 2021 Tipo de documento: Article