Suppr超能文献

3D打印复合蛋清蛋白物体的配方与性能优化

Optimization of the Formulation and Properties of 3D-Printed Complex Egg White Protein Objects.

作者信息

Liu Lili, Yang Xiaopan, Bhandari Bhesh, Meng Yuanyuan, Prakash Sangeeta

机构信息

College of Food and Bioengineering, National Experimental Teaching Demonstration Center for Food Processing and Security, Henan University of Science and Technology, Luoyang 471023, China.

School of Agriculture and Food Sciences, The University of Queensland, QLD 4072, Australia..

出版信息

Foods. 2020 Feb 8;9(2):164. doi: 10.3390/foods9020164.

Abstract

The 3D printing of foods is an emerging technique for producing unique and complex food items. This study presents the optimization of a new formulation for 3D printing foods on the basis of a complex system, which contains egg white protein (EWP), gelatin, cornstarch, and sucrose. The effects of different formulations on the rheological properties and the microstructure of the printing system were investigated. The formulation was optimized through response surface methodology, and a central composite design was adopted. The optimum formulation of the 3D mixture printing system was made of gelatin (14.27 g), cornstarch (19.72 g), sucrose (8.02 g), and EWP (12.98 g) in 250 mL of total deionized water with a maximum sensory evaluation score of 34.47 ± 1.02 and a viscosity of 1.374 ± 0.015 Pa·s. Results showed that the viscosity of the formulation correlated with the sensory evaluation score. The rheological properties and tribological behavior of the optimum formulation significantly differed from those of other formulations. A viscosity of 1.374 Pa·s supported the timely flow out of the printing material from the nozzle assisting 3D printability. Thus, 3D printing based on the egg white protein mixture system is a promising method for producing complex-shaped food objects.

摘要

食品的3D打印是一种用于生产独特且复杂食品的新兴技术。本研究基于包含蛋清蛋白(EWP)、明胶、玉米淀粉和蔗糖的复杂体系,对用于3D打印食品的新配方进行了优化。研究了不同配方对打印体系流变学特性和微观结构的影响。通过响应面法对配方进行优化,并采用中心复合设计。3D混合打印体系的最佳配方由250 mL去离子水中的明胶(14.27 g)、玉米淀粉(19.72 g)、蔗糖(8.02 g)和蛋清蛋白(12.98 g)组成,最大感官评价得分为34.47±1.02,粘度为1.374±0.015 Pa·s。结果表明,配方的粘度与感官评价得分相关。最佳配方的流变学特性和摩擦学行为与其他配方显著不同。1.374 Pa·s的粘度有助于打印材料及时从喷嘴流出,辅助3D打印成型。因此,基于蛋清蛋白混合体系的3D打印是生产复杂形状食品的一种有前景的方法。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4740/7074163/9de0fbb6c5ee/foods-09-00164-g001.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验