Health benefits, mechanisms of interaction with food components, and delivery of tea polyphenols: a review

多酚 功能性食品 生物利用度 食品科学 健康福利 食品工业 防腐剂 化学 天然食品 生物技术 成分 生化工程 抗氧化剂 业务 生物化学 生物 医学 药理学 传统医学 工程类
作者
Jingxian Niu,Mengshan Shang,Xiaojing Li,Shangyuan Sang,Long Chen,Jie Long,Aiquan Jiao,Hangyan Ji,Zhengyu Jin,Chao Qiu
出处
期刊:Critical Reviews in Food Science and Nutrition [Taylor & Francis]
卷期号:64 (33): 12487-12499 被引量:57
标识
DOI:10.1080/10408398.2023.2253542
摘要

Tea polyphenols (TPs) are the most important active component of tea and have become a research focus among natural products, thanks to their antioxidant, lipid-lowering, liver-protecting, anti-tumor, and other biological activities. Polyphenols can interact with other food components, such as protein, polysaccharides, lipids, and metal ions to further improve the texture, flavor, and sensory quality of food, and are widely used in food fields, such as food preservatives, antibacterial agents and food packaging. However, the instability of TPs under conditions such as light or heat and their low bioavailability in the gastrointestinal environment also hinder their application in food. In this review, we summarized the health benefits of TPs. In order to better use TPs in food, we analyzed the form and mechanism of interaction between TPs and main food components, such as polysaccharides and proteins. Moreover, we reviewed research into optimizing the applications of TPs in food by bio-based delivery systems, such as liposomes, nanoemulsions, and nanoparticles, so as to improve the stability and bioactivity of TPs in food application. As an effective active ingredient, TPs have great potential to be applied in functional food to produce benefits for human health.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
海龙发布了新的文献求助10
1秒前
123完成签到,获得积分10
2秒前
Hello应助冷静黄蜂采纳,获得10
2秒前
木木木完成签到,获得积分10
2秒前
3秒前
qwp发布了新的文献求助10
3秒前
3秒前
3秒前
323完成签到,获得积分10
4秒前
5秒前
5秒前
聪明的夏波完成签到,获得积分10
6秒前
天天快乐应助逗逗采纳,获得10
8秒前
panda_123发布了新的文献求助10
8秒前
踏实秋柳发布了新的文献求助10
9秒前
Jasper应助huangqian采纳,获得10
9秒前
小蘑菇应助XS_QI采纳,获得10
9秒前
芮毅发布了新的文献求助10
9秒前
阿土完成签到,获得积分10
10秒前
cty发布了新的文献求助10
10秒前
11秒前
13秒前
13秒前
瑾瑜完成签到 ,获得积分10
13秒前
13秒前
咿呀咿呀哟完成签到,获得积分0
14秒前
14秒前
刘鹏宇完成签到,获得积分10
15秒前
镜哥完成签到,获得积分10
16秒前
Rose发布了新的文献求助10
16秒前
嘻嘻哄哄发布了新的文献求助10
16秒前
lip完成签到,获得积分10
16秒前
巴山郎完成签到,获得积分10
17秒前
19秒前
Akim应助Marciu33采纳,获得10
19秒前
19秒前
20秒前
21秒前
21秒前
优秀健柏发布了新的文献求助30
21秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Römisch-Germanische Forschungen 1000
The Oxford Handbook of Digital Classical Studies 550
China Pluperfect I: Epistemology of Past and Outside in Chinese Art 520
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
The fast track to determining transfer functions of linear circuits: The student guide 500
The Analytical and Numerical Solution of Electric and Magnetic Fields 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7617858
求助须知:如何正确求助?哪些是违规求助? 9193058
关于积分的说明 19702649
捐赠科研通 7190303
什么是DOI,文献DOI怎么找? 3272065
关于科研通互助平台的介绍 2434831
邀请新用户注册赠送积分活动 2267208