Literature DB >> 33233193

Physiological genetics, chemical composition, health benefits and toxicology of tea (Camellia sinensis L.) flower: A review.

Dan Chen1, Guijie Chen1, Yi Sun1, Xiaoxiong Zeng2, Hong Ye3.   

Abstract

The flower of tea (Camellia sinensis L.) plant has been paid an increasing attention in the last twenty years, since it was found that tea flowers contained representative constituents similar to those of tea leaves, such as catechins, caffeine and amino acids. Tea flower is theoretically valuable although it has been considered as an industrial waste over a long period of time. This review summarizes the research findings conducted until now on physiological genetics, chemical composition, health benefits and toxicology of tea flowers, aiming to foresee their future applications. A lot of genes are involved in flower development and the synthesis and transmission of various chemicals in tea flowers. The chemical composition of tea flower consists mainly of catechins, polysaccharides, proteins, amino acids and saponins and thus tea flower possesses various health benefits such as antioxidant, anti-inflammatory, immunostimulating, antitumor, hypoglycemic, anti-obesity and anti-allergic activities. Moreover, tea flower contains a protease that can elevate the free amino acids content in the tea infusion by almost two folds. More importantly, the enzymatic activity of the protease is much higher than that of the commercially available proteases. Additionally, aqueous extracts of tea flower are demonstrated to safe to animals. Thus, the potential uses of tea flowers in food and medical fields are warranted.
Copyright © 2020 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Catechins; Health benefits; Physiological genetics; Polysaccharide; Safety; Saponins; Tea flower

Mesh:

Substances:

Year:  2020        PMID: 33233193     DOI: 10.1016/j.foodres.2020.109584

Source DB:  PubMed          Journal:  Food Res Int        ISSN: 0963-9969            Impact factor:   6.475


  7 in total

1.  CsATG101 Delays Growth and Accelerates Senescence Response to Low Nitrogen Stress in Arabidopsis thaliana.

Authors:  Wei Huang; Danni Ma; Xulei Hao; Jia Li; Li Xia; E Zhang; Pu Wang; Mingle Wang; Fei Guo; Yu Wang; Dejiang Ni; Hua Zhao
Journal:  Front Plant Sci       Date:  2022-05-10       Impact factor: 6.627

2.  First report of fatty acids in Mimosadiplotricha bee pollen with in vitro lipase inhibitory activity.

Authors:  Phanthiwa Khongkarat; Prapun Traiyasut; Preecha Phuwapraisirisan; Chanpen Chanchao
Journal:  PeerJ       Date:  2022-01-03       Impact factor: 2.984

Review 3.  Genotoxic Assessment of Nutraceuticals Obtained from Agricultural Biowaste: Where Do We "AMES"?

Authors:  Giorgia Musto; Valentina Laurenzi; Giuseppe Annunziata; Ettore Novellino; Mariano Stornaiuolo
Journal:  Antioxidants (Basel)       Date:  2022-06-18

4.  MTAGCN: predicting miRNA-target associations in Camellia sinensis var. assamica through graph convolution neural network.

Authors:  Haisong Feng; Ying Xiang; Xiaosong Wang; Wei Xue; Zhenyu Yue
Journal:  BMC Bioinformatics       Date:  2022-07-11       Impact factor: 3.307

5.  Integrating metabolite and transcriptome analysis revealed the different mechanisms of characteristic compound biosynthesis and transcriptional regulation in tea flowers.

Authors:  Dingkun Tang; Yihua Shen; Fangdong Li; Rui Yue; Jianwei Duan; Zhili Ye; Ying Lin; Wei Zhou; Yilin Yang; Lixiao Chen; Hongyan Wang; Jian Zhao; Penghui Li
Journal:  Front Plant Sci       Date:  2022-09-29       Impact factor: 6.627

6.  Transforming Tea Catechins into Potent Anticancer Compound: Analysis of Three Boronated-PEG Delivery System.

Authors:  Mingyan Guo; Lukas Marek; Yixia Liang; Phei Er Saw
Journal:  Micromachines (Basel)       Date:  2021-12-28       Impact factor: 2.891

7.  Identification of Co-Expressed Genes Related to Theacrine Synthesis in Tea Flowers at Different Developmental Stages.

Authors:  Xiaomin Chen; Shuxian Shao; Ruxing Yang; Mengya Gu; Pengjie Wang; Feng Zhao; Naixing Ye
Journal:  Int J Mol Sci       Date:  2021-12-13       Impact factor: 5.923

  7 in total

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