Application of LF-NMR to characterize the roles of different emulsifiers in 3D printed emulsions

分离乳清蛋白粉 卡拉胶 流变学 乳状液 化学 粘度 质子核磁共振 化学工程 乳清蛋白 色谱法 材料科学 食品科学 有机化学 工程类 复合材料
作者
Yinglin Zhong,Qingying Cai,Qingrong Huang,Xuanxuan Lu
出处
期刊:Food Hydrocolloids [Elsevier BV]
卷期号:133: 107993-107993 被引量:36
标识
DOI:10.1016/j.foodhyd.2022.107993
摘要

This study established a 3D printed food emulsions stabilized by whey protein isolate (WPI), hydroxypropylated starch (HS) and carrageenan. Low field nuclear magnetic resonance (LF-NMR) was applied to reveal role of WPI, HS and carrageenan on the mobility of hydrogen protons in these emulsions. T2 distribution of 2% WPI and HS suspensions showed different hydrogen populations. And a new peak T21 representing single layer water protons appeared at higher concentration. While T21 was not found in all carrageenan dispersions. Rising of WPI, HS and carrageenan concentration all led to decline in Tcur and T2W values. For emulsions, increasing WPI concentration from 2% to 6% led to decrease in T2W and Tcur. Decreasing WPI/HS ratio prolonged the decay process as both T2W and Tcur values grew. Four proton signals showed in T2 profile of most emulsions. The T25 free water signal was closely correlated with WPI, HS, and carrageenan concentration. Decrease in T24 peak time was observed when increasing WPI content. Influence of carrageenan on proton mobility of the emulsions were complicated and concentration-dependent, affecting relaxation peak T21, T22, T24, and T25. Apparent viscosity and rheological parameters G’ and G” indicated the emulsions exhibiting shear-thinning behavior with gel-like structure. Microstructure study revealed that addition of HS and carrageenan resulted in decline in emulsion droplet size. The printability of these WPI-stabilized emulsions was greatly affected by carrageenan content. Overall, this study proved the feasibility of using LF-NMR as a fast and effective approach for characterizing the effect of different emulsifiers in 3D printed emulsions when various types of emulsifiers existed.
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
云澈发布了新的文献求助10
1秒前
hdisyd完成签到 ,获得积分10
1秒前
蛋挞完成签到,获得积分10
2秒前
Keyl发布了新的文献求助50
2秒前
3秒前
Hiller发布了新的文献求助10
3秒前
3秒前
3秒前
蛋挞发布了新的文献求助10
4秒前
4秒前
4秒前
哇卡卡应助bingchem采纳,获得30
6秒前
6秒前
阳光火车发布了新的文献求助10
7秒前
7秒前
felix发布了新的文献求助10
8秒前
chao Liu完成签到,获得积分10
8秒前
8秒前
9秒前
所所应助靓丽的山蝶采纳,获得10
9秒前
Raiden发布了新的文献求助20
9秒前
222发布了新的文献求助10
10秒前
研友_Z7Xdl8发布了新的文献求助10
10秒前
酷波er应助沉默靳采纳,获得10
11秒前
老实莫言发布了新的文献求助10
11秒前
13秒前
正之发布了新的文献求助10
14秒前
15秒前
科研小民工应助chao Liu采纳,获得100
15秒前
15秒前
nn发布了新的文献求助30
15秒前
FashionBoy应助222采纳,获得10
16秒前
轻松绿旋完成签到,获得积分10
17秒前
19秒前
19秒前
linnn完成签到,获得积分10
19秒前
勤奋的天蓝完成签到,获得积分10
19秒前
英姑应助777采纳,获得10
19秒前
20秒前
Jasper应助老实莫言采纳,获得10
21秒前
高分求助中
All the Birds of the World 4000
Production Logging: Theoretical and Interpretive Elements 3000
Animal Physiology 2000
Les Mantodea de Guyane Insecta, Polyneoptera 2000
Am Rande der Geschichte : mein Leben in China / Ruth Weiss 1500
CENTRAL BOOKS: A BRIEF HISTORY 1939 TO 1999 by Dave Cope 1000
Machine Learning Methods in Geoscience 1000
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 物理 生物化学 纳米技术 计算机科学 化学工程 内科学 复合材料 物理化学 电极 遗传学 量子力学 基因 冶金 催化作用
热门帖子
关注 科研通微信公众号,转发送积分 3740949
求助须知:如何正确求助?哪些是违规求助? 3283763
关于积分的说明 10036623
捐赠科研通 3000513
什么是DOI,文献DOI怎么找? 1646539
邀请新用户注册赠送积分活动 783771
科研通“疑难数据库(出版商)”最低求助积分说明 750427