Influence of Transglutaminase on Glucono-δ-lactone-Induced Soy Protein Gels

组织谷氨酰胺转胺酶 大豆蛋白 食品科学 化学 发酵 持水量 纹理(宇宙学) 化学工程 色谱法 生物化学 人工智能 计算机科学 工程类 图像(数学)
作者
Eva Herz,Sabine Schäfer,Nino Terjung,Monika Gibis,Jochen Weiß
出处
期刊:ACS food science & technology [American Chemical Society]
卷期号:1 (8): 1412-1417 被引量:18
标识
DOI:10.1021/acsfoodscitech.1c00102
摘要

Enzymatic cross-linking of proteins can be used to create a variety of foods with appealing textures and facilitate further processing such as slicing or packaging. Transglutaminase (TG), a protein-glutamine-γ-glutamyltransferase, has been used in the production of processed meat and fish products. However, it has a reaction optimum at pH 7 and is therefore typically unsuitable for application in up-and-coming acidic food products such as fermented vegan meat product alternatives. To determine whether a simultaneous addition of slowly acidifying glucono-δ-lactone (GDL) and TG can facilitate protein cross-linking prior to the pH becoming too low, TG and GDL were added separately or in combination to soy protein suspensions composed of 10–15% soy protein concentrates or isolates (SPI). Texture analysis showed that SPI gels at pH 5–6, induced by GDL and TG combined, were harder than only GDL-induced gels and as hard as TG-induced gels at the optimum pH of 7. Decreased tan δ values and confocal laser scanning microscopy images indicated that protein cross-linking had taken place in combined gels. The results suggest an initial network formation induced by TG, which later in the acidification is being supplemented by an agglomeration of proteins due to weakened electrostatic repulsion. Taken together, the combination of slow acidification by GDL and TG addition leads to acidic gels with enhanced textural properties and shelf life.
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
1秒前
aich完成签到,获得积分10
1秒前
上官若男应助YE采纳,获得10
2秒前
Jasper应助YaoX采纳,获得10
2秒前
天天快乐应助威武绿真采纳,获得10
2秒前
MADKAI发布了新的文献求助10
2秒前
3秒前
慕青应助April采纳,获得10
3秒前
123完成签到,获得积分10
3秒前
Xu发布了新的文献求助10
3秒前
manan发布了新的文献求助10
3秒前
3秒前
3秒前
3秒前
张张完成签到,获得积分10
4秒前
Dream发布了新的文献求助30
4秒前
4秒前
henry完成签到,获得积分10
5秒前
雾蓝发布了新的文献求助10
5秒前
桃子发布了新的文献求助10
5秒前
烟花应助刘星星采纳,获得10
6秒前
一只鱼完成签到,获得积分10
6秒前
YY发布了新的文献求助10
6秒前
6秒前
6秒前
6秒前
qianmo完成签到 ,获得积分10
6秒前
jennifercui发布了新的文献求助10
7秒前
rh1006完成签到,获得积分10
7秒前
mrjohn发布了新的文献求助10
7秒前
7秒前
YE完成签到 ,获得积分20
9秒前
李繁蕊发布了新的文献求助10
9秒前
9秒前
9秒前
可可完成签到,获得积分10
9秒前
10秒前
自由寻菱发布了新的文献求助20
11秒前
高分求助中
Continuum Thermodynamics and Material Modelling 3000
Production Logging: Theoretical and Interpretive Elements 2700
Social media impact on athlete mental health: #RealityCheck 1020
Ensartinib (Ensacove) for Non-Small Cell Lung Cancer 1000
Unseen Mendieta: The Unpublished Works of Ana Mendieta 1000
Bacterial collagenases and their clinical applications 800
El viaje de una vida: Memorias de María Lecea 800
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 有机化学 生物化学 物理 纳米技术 计算机科学 内科学 化学工程 复合材料 基因 遗传学 物理化学 催化作用 量子力学 光电子学 冶金
热门帖子
关注 科研通微信公众号,转发送积分 3527521
求助须知:如何正确求助?哪些是违规求助? 3107606
关于积分的说明 9286171
捐赠科研通 2805329
什么是DOI,文献DOI怎么找? 1539901
邀请新用户注册赠送积分活动 716827
科研通“疑难数据库(出版商)”最低求助积分说明 709740