文献检索

查找使用阿拉丁产品的科研文献

检索与阿拉丁产品相关的同行评审论文、DOI、PubMed 编号、期刊、作者、CAS 号及研究领域。

科研影响力快照

与阿拉丁产品相关的已发表科研成果

在搜索之前,这些指标可帮助访客快速了解产品关联科研的规模与质量。

346,364+ SCI 论文 与阿拉丁产品引用相关
2,295,288.15 总影响因子 匹配文献记录中影响因子的总和
81.20 最高期刊影响因子 匹配期刊中的最高 IF
6.63 平均期刊影响因子 匹配文献的平均 IF

参考指标 指标基于阿拉丁文献引用数据库及期刊影响因子记录。文献关联仅供科研参考,请以原始文献为准。

产品列表

视图 列表 网格

2 项

设置提升方向
3D打印精度
FOOD RESEARCH INTERNATIONAL · 2025 · IF 8

Exploring the mechanism of fatty acids to improve 3D printing precision of cassava starch gel

Shengyang Ji,Minghao Xu,Ye Li,Yucheng Zou,Zhenjiang Zhou,Xi Zhao,Jianfu Shen,Baiyi Lu

Understanding the printability and underlying mechanisms of starch food systems is crucial for the industrial application of 3D food printing. This work investigated the effect of fatty acids with various degrees of unsaturation and chain lengths on the three-dimensional (3D) food printing precision of cassava starch (CS) gel and its mechanism. Results showed that fatty acids with shorter chain lengths and higher unsaturation levels improved printing precision. These modifications increased the average molecular size ( R h ) and crystallinity of starch, with shorter fatty acid chains reducing the percentage of amylopectin chains for 6 < X ≤ 12, while higher unsaturation levels increased the proportion of amylose chains for 100 < X ≤ 1000. These changes in starch multi-scale structure contributed to a decline in the T 23 of the printing ink, which in turn resulted in an increase in elastic modulus (G′) of the gel system, thus eventually enhancing the self-supporting properties and improving the printing precision of the 3D printed product. This research presents valuable insights into the use of lipids in 3D printing of starchy foods.

CAS / MDL: 112-80-1
研究领域: 食品科学 · 生物材料学
✓ 已验证 产品关联 DOI PubMed 高影响因子
查看原文 查看 PubMed
FOOD CHEMISTRY · 2025 · IF 9.8

Effect and mechanism of ultrasound time and storage time on physicochemical properties, 3D printing accuracy, and microstructure of ovalbumin–gellan gum emulsion gels

Ruiling Li,Ningzhe Wang,Chao Ma,Jiacheng Wang,Jing Wang,Xin Yang

To improve the 3D printing quality of emulsion gels, this study prepared ovalbumin-gellan gum emulsion gel (OG-EG) by adding gellan gum to peanut oil-ovalbumin emulsion. The effects and mechanisms of ultrasound time and storage time on the physicochemical properties, 3D printing accuracy, microstructure, and protein structure of OG-EG were investigated. Ultrasound and storage treatment enhanced the viscoelasticity, hardness, and compactness of the network structure of OG-EG. At ultrasound time of 3.5 min and storage time of 4 min, the printed products of OG-EG exhibited uniform filaments and stable structures, and could accurately print fine patterns with a size of 3 mm with a printing accuracy of 91 %. Ultrasound and storage treatments resulted in the formation of a stable and robust network structure in OG-EG, with emulsified oil droplets filling the gel network. The synergistic interaction of these components led to the development of an emulsion gel with excellent printing performance.

CAS / MDL: 56-40-6 69-78-3
研究领域: 食品科学 · 生物化学
✓ 已验证 产品关联 DOI PubMed 高影响因子
查看原文 查看 PubMed
已复制

文献关联基于可获得的产品、CAS、DOI 及引用记录。收录不代表作者或出版方对阿拉丁产品的背书,请以原始文献为准。