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...
Autores principales: | , , , , |
---|---|
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 |