Metabolite profiling of tea (Camellia sinensis L.) leaves in winter.

Shen, Jiazhi; Wang, Yu; Chen, Changsong; Ding, Zhaotang; Hu, Jianhui; Zheng, Chao; Li, Yuchen

doi:10.1016/j.scienta.2015.05.022

Cited by 44 publications

(35 citation statements)

References 39 publications

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“…[30]. Both the disaccharides were previously reported as constituents of tea leaves and their abundance, together with that of maltose, cellobiose, and trehalose, appeared to be related to the tea plant growing condition as a response to cold stress [31]. Compounds 3 and 6 were tentatively identified as quinic acid and gallic acid, respectively, whereas the TOF-MS/MS spectrum of compound 7 was in accordance with theogallin, a depside of gallic acid and quinic one.…”

Section: Chemical Composition Of Alcoholic Extracts From Commercializmentioning

confidence: 71%

“…In fact, it was observed that when sucrose co-eluted with turanose, fragment ions at m/z 143, 131, and 101 are detectable [30]. Both the disaccharides were previously reported as constituents of tea leaves and their abundance, together with that of maltose, cellobiose, and trehalose, appeared to be related to the tea plant growing condition as a response to cold stress [31].…”

Section: Chemical Composition Of Alcoholic Extracts From Commercializmentioning

confidence: 84%

“…These substances, which resulted in trace amounts or complete absence in TeaCEC, mainly showed quercetin and kaempferol as aglycone moiety in mono-, di-and tri-saccharidic compounds. In particular, the metabolites 16 and 19 are the di-C-glycoside of the apigenin flavone ( Figure S6 (31), and methylkaempferol (33). The TOF-MS/MS spectrum of compound is in Figure 3C, whereas the TOF-MS/MS spectra of the two quercetin hexosides are reported in Figure 4 (panels D and E).…”

Section: Chemical Composition Of Alcoholic Extracts From Commercializmentioning

confidence: 99%

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Coumaroyl Flavonol Glycosides and More in Marketed Green Teas: An Intrinsic Value beyond Much-Lauded Catechins

et al. 2020

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Marketed green teas (GTs) can highly vary in their chemical composition, due to different origins, processing methods, and a lack of standardization of GT-based products. Consequently, biological activities become difficult to correlate to the presence/content of certain constituents. Herein, ultra-high-performance liquid chromatography (UHPLC) combined with high-resolution tandem mass spectrometry (HR MS/MS) was successfully applied to six commercial GT products, extracted by ethanol sonication, to disclose their polyphenol profile beyond the well-known catechins. The relative abundance of each class of metabolites was correlated to antiradical and antilipoperoxidant data through hierarchical clustering analysis, since it reasonably affects the beneficial properties of the product that reaches the consumer. The thiobarbituric acid reactive substances (TBARS) assay demonstrated that GT extracts effectively counteracted the UV-induced lipoperoxidation of hemp oil, which is highly rich in Polyunsaturated Fatty Acids (PUFAs), and therefore highly unstable. The Relative Antioxidant Capacity Index (RACI) comprehensively emphasized that gunpower and blend in filter GTs appeared to be the less active matrices, and except for a GT-based supplement, the Sencha GT, which was particularly rich in flavonol glycosides, was the most active, followed by Bancha GT.

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Section: Chemical Composition Of Alcoholic Extracts From Commercializmentioning

confidence: 71%

Section: Chemical Composition Of Alcoholic Extracts From Commercializmentioning

confidence: 84%

Section: Chemical Composition Of Alcoholic Extracts From Commercializmentioning

confidence: 99%

See 1 more Smart Citation

Coumaroyl Flavonol Glycosides and More in Marketed Green Teas: An Intrinsic Value beyond Much-Lauded Catechins

et al. 2020

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“…As a key branch of systems biology, metabolomics is located downstream of the other “omics” technologies and can be exploited to examine the changes that occur in living systems under different environments and obtain a direct, comprehensive, and accurate biochemical picture of the phenotype of an organism. To date, metabolomics has been used to investigate the influence of various factors on the chemical components and quality of C. sinensis leaves, including the plucking position (Lee et al., ; Zhu, Li, Zhao, Yu, & Wu, ), developmental stage (Feng et al., ; Jeon et al., ), season (Lee et al., ; Ryu et al., ; Xu, Song, Li, & Wan, ), environmental factors (Ku et al., ; Shen et al., ), habitat (Zheng, She, Xiao, Wu, & Feng, ), processing conditions (Dai et al., ; Fraser et al., ; Ku, Kim, Park, Liu, & Lee, ; Lee et al., ; Lee et al., ; Tan et al., ; Xu, Hu, Wang, Wan, & Bao, ), and cultivar (Li et al., ).…”

Section: Introductionmentioning

confidence: 99%

Analysis of Young Shoots of ‘Anji Baicha’ (Camellia sinensis) at Three Developmental Stages Using Nontargeted LC‐MS‐Based Metabolomics

Zeng

Lin

Liu

et al. 2019

Journal of Food Science

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‘Anji Baicha’ (Camellia sinensis) is a low‐temperature‐sensitive tea variety. During the development of young shoots, the leaves of ‘Anji Baicha’ exhibit periodic albinism. The quality of ‘Anji Baicha’ is closely related to the color of the fresh leaves, with whiter leaves affording a higher amino acid content and superior sensory quality after processing. However, the metabolic mechanism of its quality formation is still unclear. In this study, we analyzed the metabolomic changes of young shoots of ‘Anji Baicha’ and screened for metabolic markers that may be involved in the periodic albinism. Positive‐ and negative‐mode UPLC‐QTOF‐MS was applied to the metabolomic analysis of young leaves of ‘Anji Baicha’ during three developmental stages (i.e., the pre‐albescent, albescent, and regreening stages). The results revealed significant differences in the metabolic profiles of the young leaves at the three stages. The differential metabolites were mainly related to the pathways of flavonoid, phenylpropanoid, and amino acid biosynthesis. The concentrations of several amino acids (primarily l‐theanine, l‐glutamate, N2‐acetyl‐l‐ornithine, l‐aspartic acid, d‐proline, l‐glutamine, l‐leucine, and pyroglutamic acid) and 12‐OPDA were significantly higher in the albescent stage. In contrast, during the albescent stages, the concentrations of several carbohydrates (d‐fructose, β‐d‐galactopyranose, 3‐O‐fucopyranosyl‐2‐acetamido‐2‐deoxyglucopyranose, galactose‐β‐1, 4‐xylose acetyl‐maltose, and 2‐fucosyllactose) were significantly lower. Moreover, catechins (mainly epigallocatechin and catechin derivatives), dimeric catechins (primarily proanthocyanidins), and flavonol and flavonol/flavone glycosides (mainly kaempferol, myricetin, quercetin, cyanidin, and delphinidin glycosides) were detected at the highest levels in the regreening or pre‐albescent stages. The obtained results enhance the current understanding of the metabolic mechanisms of periodic albinism and quality development formation in ‘Anji Baicha’. Practical Application The obtained results not only provide information regarding differential metabolites but also advance the understanding of the mechanism of periodic albinism in ‘Anji Baicha’ at the metabolite level and open up new possibilities for the genetic improvement of tea cultivars.

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“…The growth habit of tea is in form of shrub or tree, whereas cultivated tea is maintained as a low bush in a continuous phase of vegetative growth by adopting an appropriate pruning cycle . Tea has received much attention as a result of its unique tastes and healthy benefits, particularly with respect to several key secondary metabolites, such as tea polyphenols, theanine and caffeine, which not only contribute to tea quality, but also have important human health benefits …”

Section: Introductionmentioning

confidence: 99%