亲爱的研友该休息了!由于当前在线用户较少,发布求助请尽量完整地填写文献信息,科研通机器人24小时在线,伴您度过漫漫科研夜!身体可是革命的本钱,早点休息,好梦!

The use of time domain 1 H NMR to study proton dynamics in starch‐rich foods: A review

动力学(音乐) 淀粉 质子 化学 领域(数学分析) 食品科学 物理 数学 核物理学 声学 数学分析
作者
I.M. Riley,Mieke A. Nivelle,Nand Ooms,Jan A. Delcour
出处
期刊:Comprehensive Reviews in Food Science and Food Safety [Wiley]
卷期号:21 (6): 4738-4775 被引量:31
标识
DOI:10.1111/1541-4337.13029
摘要

Abstract Starch is a major contributor to the carbohydrate portion of our diet. When it is present with water, it undergoes several transformations during heating and/or cooling making it an essential structure‐forming component in starch‐rich food systems (e.g., bread and cake). Time domain proton nuclear magnetic resonance (TD 1 H NMR) is a useful technique to study starch–water interactions by evaluation of molecular mobility and water distribution. The data obtained correspond to changes in starch structure and the state of water during or resulting from processing. When this technique was first applied to starch(‐rich) foods, significant challenges were encountered during data interpretation of complex food systems (e.g., cake or biscuit) due to the presence of multiple constituents (proteins, carbohydrates, lipids, etc.). This article discusses the principles of TD 1 H NMR and the tools applied that improved characterization and interpretation of TD NMR data. More in particular, the major differences in proton distribution of various dough and cooked/baked food systems are examined. The application of variable‐temperature TD 1 H NMR is also discussed as it demonstrates exceptional ability to elucidate the molecular dynamics of starch transitions (e.g., gelatinization, gelation) in dough/batter systems during heating/cooling. In conclusion, TD NMR is considered a valuable tool to understand the behavior of starch and water that relate to the characteristics and/or quality of starchy food products. Such insights are crucial for food product optimization and development in response to the needs of the food industry.
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
一见喜发布了新的文献求助10
1秒前
6秒前
科研通AI2S应助mm采纳,获得10
7秒前
陈砍砍完成签到 ,获得积分10
8秒前
dawnfu完成签到,获得积分10
8秒前
爆米花应助科研通管家采纳,获得10
9秒前
科研通AI6应助科研通管家采纳,获得10
9秒前
科研通AI6应助科研通管家采纳,获得10
9秒前
我是老大应助科研通管家采纳,获得10
9秒前
传奇3应助ylh采纳,获得10
10秒前
18秒前
19秒前
dawnfu发布了新的文献求助10
22秒前
小黑妞完成签到,获得积分10
24秒前
英俊的铭应助王颖超采纳,获得30
25秒前
25秒前
ylh发布了新的文献求助10
26秒前
Marciu33发布了新的文献求助10
35秒前
37秒前
香蕉觅云应助ylh采纳,获得10
38秒前
Akim应助习惯过了头采纳,获得10
39秒前
王颖超发布了新的文献求助30
41秒前
BowieHuang应助小黑妞采纳,获得10
44秒前
48秒前
司空以蕊完成签到 ,获得积分10
48秒前
50秒前
52秒前
54秒前
ylh发布了新的文献求助10
55秒前
勤恳八宝粥完成签到 ,获得积分10
56秒前
抹茶发布了新的文献求助10
58秒前
yukky发布了新的文献求助10
1分钟前
1分钟前
1分钟前
不言而喻应助Marciu33采纳,获得10
1分钟前
1分钟前
123发布了新的文献求助10
1分钟前
魔幻的芳完成签到,获得积分10
1分钟前
1分钟前
火星上的宝马完成签到,获得积分10
1分钟前
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
Encyclopedia of Forensic and Legal Medicine Third Edition 5000
Introduction to strong mixing conditions volume 1-3 5000
Aerospace Engineering Education During the First Century of Flight 3000
Agyptische Geschichte der 21.30. Dynastie 3000
Les Mantodea de guyane 2000
Electron Energy Loss Spectroscopy 1500
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 计算机科学 有机化学 物理 生物化学 纳米技术 复合材料 内科学 化学工程 人工智能 催化作用 遗传学 数学 基因 量子力学 物理化学
热门帖子
关注 科研通微信公众号,转发送积分 5780200
求助须知:如何正确求助?哪些是违规求助? 5653166
关于积分的说明 15452863
捐赠科研通 4910949
什么是DOI,文献DOI怎么找? 2643155
邀请新用户注册赠送积分活动 1590810
关于科研通互助平台的介绍 1545294