Characteristics of Potential Protein Nutraceuticals of Plant Origin with Antioxidant Activity

保健品 大米蛋白 菠萝蛋白酶 抗氧化剂 食品科学 胃蛋白酶 背景(考古学) 蛋白质水解 化学 生物化学 水解 生物 蛋白酶 古生物学
作者
Iwona Szerszunowicz,Jan Kłobukowski
出处
期刊:Molecules [Multidisciplinary Digital Publishing Institute]
卷期号:25 (7): 1621-1621 被引量:16
标识
DOI:10.3390/molecules25071621
摘要

This study used selected plant proteins and the tools available in the BIOPEP-UWM database to profile proteins and release antioxidant nutraceuticals from their primary structures. The frequency of the occurrence of fragments with antioxidant activity in a protein sequence (the A parameter) was determined. A simulated monocatalytic proteolysis was carried out using ficin or stem bromelain or pepsin (pH > 2), and the theoretical degree of hydrolysis (DHt) and the frequency (including relative frequency) of the release of fragments with a particular antioxidant activity by a selected enzyme (the AE and W parameters, respectively). Both barley hordoindolines and the protein group of “actins and other rice proteins” were characterised by the best antioxidant potential. On the other hand, among the main analysed cereal protein groups or species, the best nutraceutical sources included kafirins, rice glutelins and α-gliadins. Potentially the most nutraceutical molecules were released by pepsin (HL, VY, PHQ and PWQ biopeptides) from gliadins, but the most analysed proteins were hydrolysed (66% on average) and the DHt for ficin and bromelain amounted to 27% and 31%, respectively. However, based on the calculated AE mean values, it can be concluded that nutraceuticals were more frequently released from rice protein structures (IY and VY biopeptides), and less frequently released from barley and other cereal protein species, which may be of significance in the context of designing nutraceutical food.
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
科研通AI6.2应助likes采纳,获得10
刚刚
JJJJJJ完成签到,获得积分10
刚刚
刚刚
wanci应助likes采纳,获得30
刚刚
科研通AI6.4应助likes采纳,获得30
刚刚
ahui发布了新的文献求助10
刚刚
愤怒的雄鹿完成签到,获得积分10
刚刚
科研通AI6.4应助likes采纳,获得30
刚刚
yyj发布了新的文献求助10
刚刚
李健应助likes采纳,获得10
1秒前
1秒前
科研通AI6.2应助likes采纳,获得10
1秒前
1秒前
科研通AI6.4应助likes采纳,获得10
1秒前
1秒前
2秒前
T41r1tsu发布了新的文献求助10
2秒前
梨梨梨完成签到,获得积分10
2秒前
Hwen发布了新的文献求助10
3秒前
3秒前
4秒前
aYXZ321完成签到,获得积分20
4秒前
奋斗映寒完成签到,获得积分10
4秒前
星空发布了新的文献求助10
4秒前
我是老大应助温乘云采纳,获得10
4秒前
Lanyiyang发布了新的文献求助10
5秒前
5秒前
老迟到的芹菜完成签到,获得积分10
6秒前
展仕波发布了新的文献求助10
6秒前
搜集达人应助xf采纳,获得10
6秒前
XWL完成签到,获得积分10
6秒前
6秒前
猫猫三应助兰亭序采纳,获得10
6秒前
炎鸠声发布了新的文献求助10
6秒前
阿司匹林发布了新的文献求助10
7秒前
上官若男应助zzz采纳,获得10
7秒前
slm发布了新的文献求助10
7秒前
7秒前
yyj完成签到,获得积分10
7秒前
7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
The anomeric effect 1314
Principles of town planning: translating concepts to applications 1000
1 Peter and Christ's Descent to the Dead in Its Early Christian Reception 700
Organizational Behavior 510
Management and the Arts 510
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
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 7735198
求助须知:如何正确求助?哪些是违规求助? 9285409
关于积分的说明 20171027
捐赠科研通 7313255
什么是DOI,文献DOI怎么找? 3304855
关于科研通互助平台的介绍 2457454
邀请新用户注册赠送积分活动 2314222