Literature DB >> 30403138

Impact of Six Typical Processing Methods on the Chemical Composition of Tea Leaves Using a Single Camellia sinensis Cultivar, Longjing 43.

Yijun Wang, Zhipeng Kan, Henry J Thompson1, Tiejun Ling, Chi-Tang Ho2, Daxiang Li, Xiaochun Wan.   

Abstract

While the Camellia sinensis cultivar and processing method are key factors that affect tea flavor and aroma, the chemical changes in nonvolatile components associated with the tea processing method using a single cultivar of C. sinensis have not been reported. Fresh leaves from C. sinensis Longjing 43 were subjected to six tea processing methods and evaluated by targeted and untargeted chromatographic procedures. On the basis of targeted assessment of the total catechin content, three clusters were identified: yellow-green, oolong-white-dark, and black. However, principal component analysis of the total tea metabolome identified four chemical phenotypes: green-yellow, oolong, black-white, and dark. Differences in the non-catechin components included amino acids and γ-aminobutyric acid, which increased in white tea, and dihydroxyphenylalanine, valine, betaine, and theophylline, which increased in dark tea. Overall, this study identified a wide range of chemicals that are affected by commonly used tea processing methods and potentially affect the bioactivity of various tea types.

Entities:  

Keywords:  C. sinensis; bioactives; chemical composition; postharvest processing; tea

Mesh:

Substances:

Year:  2018        PMID: 30403138     DOI: 10.1021/acs.jafc.8b05140

Source DB:  PubMed          Journal:  J Agric Food Chem        ISSN: 0021-8561            Impact factor:   5.279


  14 in total

1.  Influence of thermophilic microorganism on non-volatile metabolites during high-temperature pile-fermentation of Chinese dark tea based on metabolomic analysis.

Authors:  Wen Zhu; Wenfeng Wang; Wencan Xu; Shuang Wu; Wenjun Chen; Youyi Huang; Shengpeng Wang
Journal:  Food Sci Biotechnol       Date:  2022-05-27       Impact factor: 3.231

2.  Tea and its components reduce the production of uric acid by inhibiting xanthine oxidase.

Authors:  Dan Wu; Ruohong Chen; Wenji Zhang; Xingfei Lai; Lingli Sun; Qiuhua Li; Zhenbiao Zhang; Junxi Cao; Shuai Wen; Zhaoxiang Lai; Zhigang Li; Fanrong Cao; Shili Sun
Journal:  Food Nutr Res       Date:  2022-06-15       Impact factor: 3.221

3.  Discrimination and characterization of the volatile profiles of five Fu brick teas from different manufacturing regions by using HS-SPME/GC-MS and HS-GC-IMS.

Authors:  Yu Xiao; Yuxin Huang; Yulian Chen; Leike Xiao; Xilu Zhang; Chenghongwang Yang; Zongjun Li; Mingzhi Zhu; Zhonghua Liu; Yuanliang Wang
Journal:  Curr Res Food Sci       Date:  2022-09-25

Review 4.  Green Tea and Its Relation to Human Gut Microbiome.

Authors:  Sergio Pérez-Burillo; Beatriz Navajas-Porras; Alicia López-Maldonado; Daniel Hinojosa-Nogueira; Silvia Pastoriza; José Ángel Rufián-Henares
Journal:  Molecules       Date:  2021-06-26       Impact factor: 4.411

5.  Impact of tea leaves types on antioxidant properties and bioaccessibility of kombucha.

Authors:  Nurcan Değirmencioğlu; Elif Yıldız; Yasemin Sahan; Metin Güldas; Ozan Gürbüz
Journal:  J Food Sci Technol       Date:  2020-09-01       Impact factor: 3.117

6.  Chemical profile changes during pile fermentation of Qingzhuan tea affect inhibition of α-amylase and lipase.

Authors:  Lin Feng; Panpan Liu; Pengcheng Zheng; Liang Zhang; Jie Zhou; Ziming Gong; Yongchao Yu; Shiwei Gao; Lin Zheng; Xueping Wang; Xiaochun Wan
Journal:  Sci Rep       Date:  2020-02-26       Impact factor: 4.379

Review 7.  Enzymatic Oxidation of Tea Catechins and Its Mechanism.

Authors:  Buhailiqiemu Abudureheman; Xiaochun Yu; Dandan Fang; Henghui Zhang
Journal:  Molecules       Date:  2022-01-29       Impact factor: 4.411

8.  Widely Targeted Metabolomics Analysis Reveals the Differences of Nonvolatile Compounds in Oolong Tea in Different Production Areas.

Authors:  Zhihui Wang; Shuang Gan; Weijiang Sun; Zhidan Chen
Journal:  Foods       Date:  2022-04-06

9.  Discriminant Analysis of Pu-Erh Tea of Different Raw Materials Based on Phytochemicals Using Chemometrics.

Authors:  Shao-Rong Zhang; Yu Shi; Jie-Lin Jiang; Li-Yong Luo; Liang Zeng
Journal:  Foods       Date:  2022-02-25

10.  Metabolomics Analysis Reveals the Effects of Compound Fuzhuan Brick Tea (CFBT) on Regulating Dyslipidemia and Metabolic Disorders in Mice Induced by High-Fat Diet.

Authors:  Xiaolu Zhou; Binggang Ge; Xuwen Zhang; Kunbo Wang; Caibi Zhou; Donghe Fu
Journal:  Nutrients       Date:  2022-03-08       Impact factor: 5.717

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