Enhancing the anti-freezing properties of glucono-δ-lactone induced tofu through the incorporation of curdlan

柯德兰 化学 食品科学 纹理(宇宙学) 保水性 网络结构 束缚水 多糖 色谱法 化学工程 分子 生物化学 有机化学 工程类 人工智能 土壤科学 土壤水分 机器学习 图像(数学) 计算机科学 环境科学
作者
Hui Zhang,Tong Zhang,Xiong Zhang,Jingting Xu,Shuntang Guo
出处
期刊:Food Hydrocolloids [Elsevier BV]
卷期号:150: 109656-109656 被引量:20
标识
DOI:10.1016/j.foodhyd.2023.109656
摘要

To improve the water retention capacity and texture stability of tofu induced by glucose-δ-lactone (GDL) during frozen storage, the effect of adding polysaccharide was evaluated in this study. The results showed that when 3% curdlan was added, the water retention of tofu frozen at −18 °C for 4 weeks (64.42%) closely resembled that of unfrozen tofu (66.16%). Simultaneously, the texture of the tofu was notably conserved in comparison to the fresh tofu, and the gel network exhibited a persistent density and uniformity. There is a discernible difference between the freezing and thawing onset points of tofu with the incorporation of curdlan gum, and curdlan combines with water to fill in the interstitial spaces and pores of the protein network, which effectively hinders the migration and flow of water. Further infrared studies demonstrated that the hydrogen bonds in the network were strengthened, which contributed to the stability of the tofu structure integrity. Meanwhile, the further cross-linking of protein molecules in the gel network and the formation of rough networks during the freezing process were prevented. This study reveals that curdlan forms a robust, tightly bound association with water, generating an intricate and interwoven network alongside soymilk protein aggregates, empowering the frozen tofu to effectively retain its quality and texture, closely resembling that of the fresh tofu.
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
深情安青应助pililili采纳,获得10
刚刚
尊敬的夏槐完成签到,获得积分10
刚刚
小二郎应助TCcc采纳,获得10
1秒前
予秋发布了新的文献求助10
1秒前
wln339706发布了新的文献求助10
2秒前
shuaiyuancheng完成签到,获得积分20
2秒前
顾矜应助坤坤采纳,获得10
2秒前
贾cw完成签到,获得积分10
3秒前
3秒前
3秒前
Beloster发布了新的文献求助10
4秒前
Jasper应助Zr采纳,获得10
4秒前
wjn发布了新的文献求助10
4秒前
4秒前
霸气的忆丹完成签到 ,获得积分10
5秒前
丹皮小姐完成签到,获得积分10
6秒前
科研通AI6.2应助dawn采纳,获得10
6秒前
Copyright应助滴滴滴采纳,获得10
6秒前
一冲完成签到 ,获得积分10
7秒前
7秒前
领导范儿应助e746700020采纳,获得10
9秒前
10秒前
Owen应助1230采纳,获得10
10秒前
成成成发布了新的文献求助10
10秒前
皇甫妙竹发布了新的文献求助10
11秒前
Tori_Q应助T510采纳,获得30
11秒前
Silver发布了新的文献求助10
11秒前
学术智子完成签到,获得积分10
12秒前
英姑应助黎小静采纳,获得10
13秒前
13秒前
wanci应助ex采纳,获得10
14秒前
14秒前
14秒前
14秒前
14秒前
所所应助温柔的白风采纳,获得10
15秒前
ding应助wln339706采纳,获得10
16秒前
16秒前
洋子完成签到,获得积分10
16秒前
小吴发布了新的文献求助20
17秒前
高分求助中
Principles of Economics, 11th Edition 10000
University Physics with Modern Physics, 16th edition 10000
(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
Environmental Leverage in Times of Climate Crisis: Product Standards, Carbon Border Measures and Preferential Trade Agreements 1000
Matrix Methods in Data Mining and Pattern Recognition 510
Social Skills Improvement System-Rating Scales--Chinese Version 500
Dynamische Polarisation von H-1 und B-11 in (CH-3)-3NBH-3 500
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 7243791
求助须知:如何正确求助?哪些是违规求助? 8868020
关于积分的说明 18706529
捐赠科研通 6918481
什么是DOI,文献DOI怎么找? 3196749
关于科研通互助平台的介绍 2370487
邀请新用户注册赠送积分活动 2171403