Mineral-element-chelating activity of food-derived peptides: influencing factors and enhancement strategies

螯合作用 生物利用度 化学 溶解度 人类健康 组合化学 生化工程 生物化学 有机化学 药理学 医学 环境卫生 工程类
作者
Chaonan Cai,Yuting Liu,Yuling Xu,Juntao Zhang,Benmei Wei,Chengzhi Xu,Haibo Wang
出处
期刊:Critical Reviews in Food Science and Nutrition [Taylor & Francis]
卷期号:65 (16): 3241-3255 被引量:17
标识
DOI:10.1080/10408398.2024.2361299
摘要

Mineral elements including calcium, iron, and zinc play crucial roles in human health. Their deficiency causes public health risk globally. Commercial mineral supplements have limitations; therefore, alternatives with better solubility, bioavailability, and safety are needed. Chelates of food-derived peptides and mineral elements exhibit advantages in terms of stability, absorption rate, and safety. However, low binding efficiency limits their application. Extensive studies have focused on understanding and enhancing the chelating activity of food-derived peptides with mineral elements. This includes obtaining peptides with high chelating activity, elucidating interaction mechanisms, optimizing chelation conditions, and developing techniques to enhance the chelating activity. This review provides a comprehensive theoretical basis for the development and utilization of food-derived peptide-mineral element chelates in the food industry. Efforts to address the challenge of low binding rates between peptides and mineral elements have yielded promising results. Optimization of peptide sources, enzymatic hydrolysis processes, and purification schemes have helped in obtaining peptides with high chelating activity. The understanding of interaction mechanisms has been enhanced through advanced separation techniques and molecular simulation calculations. Optimizing chelation process conditions, including pH and temperature, can help in achieving high binding rates. Methods including phosphorylation modification and ultrasonic treatment can enhance the chelating activity.
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
CodeCraft应助xiaofeifan采纳,获得10
刚刚
可爱秋寒发布了新的文献求助10
刚刚
XX关注了科研通微信公众号
刚刚
万能图书馆应助wwj1122采纳,获得10
刚刚
Orange应助chen采纳,获得30
刚刚
流年发布了新的文献求助10
刚刚
刚刚
1秒前
liangzic发布了新的文献求助30
1秒前
无敌大好人完成签到,获得积分10
1秒前
liii发布了新的文献求助10
1秒前
2秒前
2秒前
FB完成签到,获得积分10
2秒前
2秒前
科研通AI6.4应助Southluuu采纳,获得10
3秒前
3秒前
3秒前
念梦驳回了英姑应助
4秒前
神秘Q发布了新的文献求助10
4秒前
wj发布了新的文献求助10
4秒前
feiyu完成签到,获得积分10
5秒前
xnkl完成签到 ,获得积分20
5秒前
5秒前
CodeCraft应助高大迎波采纳,获得10
5秒前
6秒前
石榴完成签到,获得积分10
6秒前
6秒前
shilong.yang发布了新的文献求助10
6秒前
xx发布了新的文献求助10
7秒前
于子杰发布了新的文献求助10
7秒前
东方元语应助正直迎波采纳,获得20
7秒前
7秒前
Akim应助叫秋田犬的猫采纳,获得30
8秒前
沐倾城应助library2025采纳,获得10
8秒前
愤怒的超级兵完成签到,获得积分20
8秒前
就这样吧完成签到 ,获得积分10
8秒前
完美世界应助风清扬采纳,获得10
8秒前
冰淇淋007发布了新的文献求助20
8秒前
忧郁寄瑶完成签到,获得积分10
8秒前
高分求助中
Principles of Economics, 11th Edition 10000
University Physics with Modern Physics, 16th edition 10000
(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
Molecular Mechanisms of Photosynthesis, 4th Edition 1000
Organic Reactions, Volume 116 1000
Matrix Methods in Data Mining and Pattern Recognition 510
Social Skills Improvement System-Rating Scales--Chinese Version 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 7255460
求助须知:如何正确求助?哪些是违规求助? 8877567
关于积分的说明 18747386
捐赠科研通 6935806
什么是DOI,文献DOI怎么找? 3200381
关于科研通互助平台的介绍 2374907
邀请新用户注册赠送积分活动 2175614