Utilization of self-assembled soy protein nanoparticles as carriers for natural pigments: Examining non-interaction mechanisms and stability

大豆蛋白 等温滴定量热法 化学 热稳定性 水解 纳米颗粒 颜料 粒径 化学工程 色谱法 有机化学 食品科学 物理化学 工程类
作者
Shi Liu,Na Sun,Kunyu Ren,Xubin Tan,Lanxin Li,Zhe Wang,Shicheng Dai,Xiaohong Tong,Huan Wang,Lianzhou Jiang
出处
期刊:Food Hydrocolloids [Elsevier BV]
卷期号:148: 109491-109491 被引量:13
标识
DOI:10.1016/j.foodhyd.2023.109491
摘要

In this study, we made self-assembled soy protein nanoparticles (SPN) by partially hydrolyzing soy protein isolate (SPI) using Flavourzyme at different hydrolysis times (0, 0.5, 1, 1.5, 2, 3, and 4 h). Compared with SPI, SPN (hydrolysis time, 1.5 h) was spherical with smaller particle size, better dispersion, and higher surface hydrophobicity. The interaction and stability of SPN loaded with different concentrations (0, 0.05, 0.1, 0.3, and 0.5 mmol/L) of lutein (Lut), β-carotene (β-Car), and curcumin (Cur) were then characterized. The encapsulation efficiency, load capacity, and X-ray diffraction measurements showed that natural pigments were successfully encapsulated by SPN in amorphous form, with the highest encapsulation efficiency observed at 0.05 mmol/L with 94.3%, 88.7%, and 96.0% for Lut, β-Car, and Cur, respectively. Fluorescence, ultraviolet, and infrared spectroscopy revealed that natural pigments were loaded into SPN mainly by hydrophobic interactions, and hydrogen bonding was also involved in the loading process of Lut and Cur. Moreover, the outcomes of the isothermal titration calorimetry measurement validated the spontaneous and entropy-driven binding process between SPN and natural pigments. Due to its low molecular weight, a high number of phenolic hydroxyl groups, and low spatial resistance, Cur was most encapsulated in SPN, while the strongest interactions were observed. Lut, β-Car, and Cur were loaded with significantly better thermal and light stability, especially Cur. This study may open a new avenue for the use of SPN as product formulations to extend lipophilic natural edible pigments in food products.
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
更新
PDF的下载单位、IP信息已删除 (2025-6-4)

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
liumuyi发布了新的文献求助10
刚刚
刚刚
终梦完成签到,获得积分10
1秒前
酷波er应助Dravia采纳,获得10
1秒前
Lucas应助小狮子采纳,获得10
3秒前
3秒前
3秒前
赘婿应助long采纳,获得10
3秒前
大红马发布了新的文献求助30
4秒前
jarrykim发布了新的文献求助10
4秒前
乐乐应助幽壑之潜蛟采纳,获得10
5秒前
10秒前
12秒前
隐形妙旋完成签到,获得积分20
12秒前
Alex应助roking采纳,获得50
14秒前
15秒前
香菜芝麻精完成签到,获得积分10
15秒前
15秒前
15秒前
莱克斯发布了新的文献求助10
16秒前
共享精神应助帅气翠霜采纳,获得10
16秒前
17秒前
18秒前
Dravia发布了新的文献求助10
18秒前
Hello应助RR采纳,获得10
18秒前
有米饭没完成签到 ,获得积分10
19秒前
jarrykim完成签到,获得积分10
19秒前
20秒前
zz发布了新的文献求助30
20秒前
21秒前
胡宇发布了新的文献求助10
21秒前
21秒前
小二郎应助科研通管家采纳,获得10
21秒前
无私秋珊应助科研通管家采纳,获得20
22秒前
Profeto应助科研通管家采纳,获得10
22秒前
科研通AI5应助科研通管家采纳,获得10
22秒前
传奇3应助科研通管家采纳,获得10
22秒前
Profeto应助科研通管家采纳,获得10
22秒前
852应助科研通管家采纳,获得10
22秒前
22秒前
高分求助中
【提示信息,请勿应助】关于scihub 10000
The Mother of All Tableaux: Order, Equivalence, and Geometry in the Large-scale Structure of Optimality Theory 3000
Social Research Methods (4th Edition) by Maggie Walter (2019) 2390
A new approach to the extrapolation of accelerated life test data 1000
北师大毕业论文 基于可调谐半导体激光吸收光谱技术泄漏气体检测系统的研究 390
Phylogenetic study of the order Polydesmida (Myriapoda: Diplopoda) 370
Robot-supported joining of reinforcement textiles with one-sided sewing heads 360
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 生物化学 物理 内科学 纳米技术 计算机科学 化学工程 复合材料 遗传学 基因 物理化学 催化作用 冶金 细胞生物学 免疫学
热门帖子
关注 科研通微信公众号,转发送积分 4007168
求助须知:如何正确求助?哪些是违规求助? 3546748
关于积分的说明 11297051
捐赠科研通 3282307
什么是DOI,文献DOI怎么找? 1810042
邀请新用户注册赠送积分活动 885799
科研通“疑难数据库(出版商)”最低求助积分说明 811114