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 数学分析 声学
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
刚刚
1秒前
禹宛白发布了新的文献求助10
1秒前
yyyyyy完成签到,获得积分10
1秒前
桐桐应助科研通管家采纳,获得10
3秒前
情怀应助科研通管家采纳,获得10
3秒前
英俊的铭应助科研通管家采纳,获得10
3秒前
3秒前
乐乐应助科研通管家采纳,获得10
4秒前
子卿完成签到,获得积分0
4秒前
碎觉觉应助科研通管家采纳,获得30
4秒前
英姑应助科研通管家采纳,获得10
4秒前
bfl应助科研通管家采纳,获得10
4秒前
CipherSage应助科研通管家采纳,获得10
4秒前
干净的琦应助科研通管家采纳,获得30
4秒前
4秒前
天天应助科研通管家采纳,获得30
4秒前
乐乐应助科研通管家采纳,获得10
4秒前
刻苦寒珊发布了新的文献求助10
4秒前
chifan完成签到 ,获得积分10
5秒前
5秒前
李健应助科研通管家采纳,获得10
5秒前
爱喝酸奶发布了新的文献求助10
5秒前
5秒前
5秒前
丘比特应助搞怪的丹采纳,获得30
7秒前
7秒前
doctor杨完成签到,获得积分10
8秒前
丘比特应助阿泽采纳,获得10
9秒前
10秒前
10秒前
橘猫123456发布了新的文献求助10
11秒前
12秒前
13秒前
13秒前
小锦完成签到,获得积分20
14秒前
14秒前
ashin17完成签到,获得积分10
14秒前
小小虾发布了新的文献求助10
14秒前
禹宛白发布了新的文献求助10
15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
Cronologia da história de Macau 5000
Petrology and Plate Tectonics 800
Electrode Potentials 550
Matrix Methods in Data Mining and Pattern Recognition 510
Association of Reentry Well-Being with Psychological Distress, Employment, and Housing Instability 15-Months After Incarceration 500
Trees of tropical Asia : an illustrated guide to diversity 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 7027660
求助须知:如何正确求助?哪些是违规求助? 8697967
关于积分的说明 18429738
捐赠科研通 6526959
什么是DOI,文献DOI怎么找? 3111443
关于科研通互助平台的介绍 2188512
邀请新用户注册赠送积分活动 2086999