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Faba Bean Fractions for 3D Printing of Protein-, Starch- and Fibre-Rich Foods

Johansson, Mathias and Nilsson, Klara and Knab, Fanny and Langton, Maud (2022). Faba Bean Fractions for 3D Printing of Protein-, Starch- and Fibre-Rich Foods. Processes. 10 :3 , 466
[Research article]

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Abstract

Food 3D printing allows for the production of personalised foods in terms of shape and nutrition. In this study, we examined whether protein-, starch- and fibre-rich fractions extracted from faba beans can be combined to produce fibre- and protein-rich printable food inks for extrusion-based 3D printing. Small amplitude oscillatory shear measurements were used to characterise the inks while compression tests and scanning electron microscopy were used to characterise the freeze-dried samples. We found that rheological parameters such as storage modulus, loss tangent and yield stress were related to ink printability and shape stability. Investigations on the effect of ink composition, infill pattern (honeycomb/grid) and direction of compression on textural and microstructural properties of freeze-dried 3D-printed objects revealed no clear effect of infill pattern, but a strong effect of direction of compression. Microstructure heterogeneity seemed to be correlated with the textural properties of the printed objects.

Authors/Creators:Johansson, Mathias and Nilsson, Klara and Knab, Fanny and Langton, Maud
Title:Faba Bean Fractions for 3D Printing of Protein-, Starch- and Fibre-Rich Foods
Series Name/Journal:Processes
Year of publishing :2022
Volume:10
Number:3
Article number:466
Number of Pages:14
Publisher:MDPI
Language:English
Publication Type:Research article
Article category:Scientific peer reviewed
Version:Published version
Copyright:Creative Commons: Attribution 4.0
Full Text Status:Public
Subjects:(A) Swedish standard research categories 2011 > 2 Engineering and Technology > 211 Other Engineering and Technologies > Food Engineering
Keywords:3D printing, faba bean, starch, protein, fibre, rheology, texture, microstructure, infill pattern
URN:NBN:urn:nbn:se:slu:epsilon-p-116785
Permanent URL:
http://urn.kb.se/resolve?urn=urn:nbn:se:slu:epsilon-p-116785
Additional ID:
Type of IDID
DOI10.3390/pr10030466
Web of Science (WoS)000774479800001
ID Code:27721
Faculty:NJ - Fakulteten för naturresurser och jordbruksvetenskap
Department:(NL, NJ) > Department of Molecular Sciences
Deposited By: SLUpub Connector
Deposited On:06 May 2022 09:57
Metadata Last Modified:18 May 2022 14:00

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