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!

Soybean protein isolate inhibiting the retrogradation of fresh rice noodles: Combined experimental analysis and molecular dynamics simulation

回生(淀粉) 食品科学 化学 淀粉 直链淀粉
作者
Li Xu,Tao Wang,Yang Shan,Ren Wang,Cuiping Yi
出处
期刊:Food Hydrocolloids [Elsevier BV]
卷期号:151: 109877-109877 被引量:38
标识
DOI:10.1016/j.foodhyd.2024.109877
摘要

Retrogradation of fresh rice noodles (FRNs) is detrimental to the customers’ acceptance of these rice products. In this study, combined experimental analysis and molecular dynamics simulation were used to explore the mechanism underlying soybean protein isolate (SPI, 0–12%) inhibiting the retrogradation of FRNs. The FRNs showed fast retrogradation and hardening at the 1st day, whereas the aging rate was slowed down in the presence of SPI during the 5-day storage. This was due to that SPI increased the water-holding capacity and buffered the acidity of the system. Differential scanning calorimetry showed that SPI prevented the formation of ordered starch structures during retrogradation. From the results of molecular dynamics simulation, it was found that 7 S of SPI could reduce the deformation degree of starch to a lower extent than 11 S in the gelatinization process at 95 °C. However, 11 S elicited stronger non-covalent interactions with starch than 7 S during retrogradation at 4 °C, thus stabilizing starch structures and inhibiting retrogradation of FRNs. Our study illustrated a facile approach to inhibit the retrogradation of FRNs, which would properly broaden the application scenarios of traditional products with enhanced shelf life and taste attributes.
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chen采纳,获得10
3秒前
7秒前
12秒前
12秒前
orixero应助墨染采纳,获得10
13秒前
chen发布了新的文献求助10
17秒前
kkrian完成签到,获得积分10
23秒前
衣裳薄完成签到,获得积分10
30秒前
彭于晏应助chen采纳,获得10
52秒前
Riversource完成签到,获得积分10
58秒前
1分钟前
1分钟前
Akim应助你嵙这个期刊没买采纳,获得10
1分钟前
1分钟前
1分钟前
1分钟前
1分钟前
1分钟前
无花果应助jin采纳,获得10
1分钟前
1分钟前
1分钟前
chen发布了新的文献求助10
1分钟前
墨染发布了新的文献求助10
1分钟前
隐形曼青应助chen采纳,获得10
1分钟前
丘比特应助等待的安露采纳,获得10
1分钟前
xxr1111发布了新的文献求助10
1分钟前
1分钟前
隐形曼青应助xxr1111采纳,获得10
2分钟前
3分钟前
JenniferShen发布了新的文献求助10
3分钟前
3分钟前
3分钟前
yh完成签到,获得积分10
3分钟前
斯文败类应助科研通管家采纳,获得10
3分钟前
迷路的云霄完成签到,获得积分10
3分钟前
4分钟前
4分钟前
zsd完成签到,获得积分10
5分钟前
毕加索完成签到,获得积分10
6分钟前
小新完成签到 ,获得积分10
6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
PowerCascade: A Synthetic Dataset for Cascading Failure Analysis in Power Systems 2000
Various Faces of Animal Metaphor in English and Polish 800
Signals, Systems, and Signal Processing 610
Photodetectors: From Ultraviolet to Infrared 500
On the Dragon Seas, a sailor's adventures in the far east 500
Yangtze Reminiscences. Some Notes And Recollections Of Service With The China Navigation Company Ltd., 1925-1939 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 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 6348224
求助须知:如何正确求助?哪些是违规求助? 8163256
关于积分的说明 17172906
捐赠科研通 5404645
什么是DOI,文献DOI怎么找? 2861755
邀请新用户注册赠送积分活动 1839559
关于科研通互助平台的介绍 1688888