Protection of hair from damage induced by ultraviolet irradiation using tea (Camellia sinensis) extracts

山茶 化学 植物化学 抗氧化剂 儿茶素 DNA损伤 食品科学 活性氧 生物化学 植物 多酚 生物 有机化学 DNA
作者
Stephanie L. Davis,Jennifer Marsh,Casey P. Kelly,Lijuan Li,Cheryl S Tansky,Rui Fang,Monique S. J. Simmonds
出处
期刊:Journal of Cosmetic Dermatology [Wiley]
卷期号:21 (5): 2246-2254 被引量:9
标识
DOI:10.1111/jocd.14387
摘要

Damage to hair by UV is relevant to most people, and for many, it is a major source of hair damage. Prevention of UV damage is of high interest to cosmetic companies.Describe UV damage mechanisms and link these mechanisms to measurable changes in hair protein composition and color changes resulting from breakdown of yellow-colored kynurenines. Test the power of botanical antioxidants, specifically Camellia sinensis (tea) extracts to prevent this protein damage and color change. Link specific phytochemistry of extract samples to hair performance.Camellia sinensis (tea) extracts were analyzed by LC-MS to identify the key composition chemistries. ORAC (Oxygen Radical Antioxidant Capacity) was used to measure ability of the extract to react with a peroxyl radical via a hydrogen abstraction mechanism. Hair protein structural damage was measured by quantification of a biomarker peptide that is specific to UV-induced damage and hair color changes were measured with a spectrophotometer.Levels of key phytochemistry in the extracts, specifically the catechins, correlated with prevention of UV-induced protein damage and prevention of color changes due to kynurenine breakdown. Extracts with higher phytochemistry levels also had higher ORAC scores indicating that they were more effective antioxidants.Camellia sinensis (tea) extracts can be used as effective protective treatments for hair protection but this efficacy is linked to extract concentrations of key chemistries (catechins).

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
malele发布了新的文献求助30
刚刚
糊涂的冰旋完成签到,获得积分10
刚刚
小马甲应助只昂张采纳,获得10
2秒前
yuanyuan完成签到,获得积分10
2秒前
脑洞疼应助坚强的笑天采纳,获得10
2秒前
清脆臻发布了新的文献求助20
3秒前
端庄雨兰完成签到,获得积分20
3秒前
4秒前
可爱灵安发布了新的文献求助10
4秒前
Owen应助123采纳,获得10
4秒前
北北发布了新的文献求助10
5秒前
科研通AI6.1应助Petrichor采纳,获得10
5秒前
林兰特完成签到,获得积分10
6秒前
科研通AI6.4应助浮一大白采纳,获得10
6秒前
6秒前
万能图书馆应助Qing采纳,获得10
6秒前
7秒前
陈翔发布了新的文献求助10
7秒前
8秒前
碧海流花完成签到,获得积分10
8秒前
zhb发布了新的文献求助10
9秒前
自信的雨泽完成签到,获得积分10
9秒前
鳗鱼醉柳完成签到 ,获得积分10
10秒前
vvvg完成签到,获得积分20
11秒前
NexusExplorer应助可爱灵安采纳,获得10
11秒前
漂亮的灭龙完成签到,获得积分10
12秒前
酷炫的毛巾完成签到,获得积分10
12秒前
杨江丽发布了新的文献求助10
12秒前
12秒前
jerome711关注了科研通微信公众号
12秒前
Walden5441发布了新的文献求助30
12秒前
明理的问柳完成签到,获得积分10
12秒前
Taozi发布了新的文献求助10
13秒前
糖卜里卜完成签到,获得积分20
13秒前
vvvg发布了新的文献求助10
14秒前
上官若男应助RAYMOND采纳,获得10
15秒前
SciGPT应助坚强的笑天采纳,获得10
15秒前
小太阳在营业应助小巍采纳,获得10
16秒前
wu关注了科研通微信公众号
16秒前
16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
Salmon nasal cartilage-derived proteoglycan complexes influence the gut microbiota and bacterial metabolites in mice 2000
The Composition and Relative Chronology of Dynasties 16 and 17 in Egypt 1500
Cowries - A Guide to the Gastropod Family Cypraeidae 1200
Hemispherical Resonator Gyro: Status Report and Test Results 800
ON THE THEORY OF BIRATIONAL BLOWING-UP 666
Signals, Systems, and Signal Processing 610
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 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6382320
求助须知:如何正确求助?哪些是违规求助? 8194537
关于积分的说明 17323350
捐赠科研通 5435937
什么是DOI,文献DOI怎么找? 2875142
邀请新用户注册赠送积分活动 1851812
关于科研通互助平台的介绍 1696405