Cargando…

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

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 di...

Descripción completa

Detalles Bibliográficos
Autores principales: Liu, Lili, Yang, Xiaopan, Bhandari, Bhesh, Meng, Yuanyuan, Prakash, Sangeeta
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7074163/
https://www.ncbi.nlm.nih.gov/pubmed/32046351
http://dx.doi.org/10.3390/foods9020164
_version_ 1783506774410657792
author Liu, Lili
Yang, Xiaopan
Bhandari, Bhesh
Meng, Yuanyuan
Prakash, Sangeeta
author_facet Liu, Lili
Yang, Xiaopan
Bhandari, Bhesh
Meng, Yuanyuan
Prakash, Sangeeta
author_sort Liu, Lili
collection PubMed
description 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.
format Online
Article
Text
id pubmed-7074163
institution National Center for Biotechnology Information
language English
publishDate 2020
publisher MDPI
record_format MEDLINE/PubMed
spelling pubmed-70741632020-03-19 Optimization of the Formulation and Properties of 3D-Printed Complex Egg White Protein Objects Liu, Lili Yang, Xiaopan Bhandari, Bhesh Meng, Yuanyuan Prakash, Sangeeta Foods Article 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. MDPI 2020-02-08 /pmc/articles/PMC7074163/ /pubmed/32046351 http://dx.doi.org/10.3390/foods9020164 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Liu, Lili
Yang, Xiaopan
Bhandari, Bhesh
Meng, Yuanyuan
Prakash, Sangeeta
Optimization of the Formulation and Properties of 3D-Printed Complex Egg White Protein Objects
title Optimization of the Formulation and Properties of 3D-Printed Complex Egg White Protein Objects
title_full Optimization of the Formulation and Properties of 3D-Printed Complex Egg White Protein Objects
title_fullStr Optimization of the Formulation and Properties of 3D-Printed Complex Egg White Protein Objects
title_full_unstemmed Optimization of the Formulation and Properties of 3D-Printed Complex Egg White Protein Objects
title_short Optimization of the Formulation and Properties of 3D-Printed Complex Egg White Protein Objects
title_sort optimization of the formulation and properties of 3d-printed complex egg white protein objects
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7074163/
https://www.ncbi.nlm.nih.gov/pubmed/32046351
http://dx.doi.org/10.3390/foods9020164
work_keys_str_mv AT liulili optimizationoftheformulationandpropertiesof3dprintedcomplexeggwhiteproteinobjects
AT yangxiaopan optimizationoftheformulationandpropertiesof3dprintedcomplexeggwhiteproteinobjects
AT bhandaribhesh optimizationoftheformulationandpropertiesof3dprintedcomplexeggwhiteproteinobjects
AT mengyuanyuan optimizationoftheformulationandpropertiesof3dprintedcomplexeggwhiteproteinobjects
AT prakashsangeeta optimizationoftheformulationandpropertiesof3dprintedcomplexeggwhiteproteinobjects