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Extrusion Simulation for the Design of Cereal and Legume Foods
A 1D global twin-screw extrusion model, implemented in numerical software, Ludovic(®), was applied to predict extrusion variables and, therefore, to design various starchy products with targeted structure and properties. An experimental database was built with seven starchy food formulations for man...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9222340/ https://www.ncbi.nlm.nih.gov/pubmed/35741977 http://dx.doi.org/10.3390/foods11121780 |
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author | Kristiawan, Magdalena Della Valle, Guy Berzin, Françoise |
author_facet | Kristiawan, Magdalena Della Valle, Guy Berzin, Françoise |
author_sort | Kristiawan, Magdalena |
collection | PubMed |
description | A 1D global twin-screw extrusion model, implemented in numerical software, Ludovic(®), was applied to predict extrusion variables and, therefore, to design various starchy products with targeted structure and properties. An experimental database was built with seven starchy food formulations for manufacturing dense and expanded foods made from starches, starch blends, breakfast cereals, pulse crop ingredients such as pea flour, fava bean flour, and fava bean starch concentrated, and wheat flour enriched with wheat bran. This database includes the thermal and physical properties of the formulations at solid and molten states, melt viscosity model, extruder configurations and operating parameters, and extruded foods properties. Using extrusion and viscosity models, melt temperature (T) and specific mechanical energy (SME) were satisfactorily predicted. A sensitivity analysis of variables at die exit was performed on formulation, extruder configuration, and operating parameters, generating the extruder operating charts. Results allowed the establishment of relationships between predicted variables (T, SME, melt viscosity) and product features such as starch and protein structural change, density and cellular structure, and functional properties. The extrusion operating conditions leading to targeted food properties can be assessed from these relationships and also the relationship between extrusion operating parameters and variables provided by simulation. |
format | Online Article Text |
id | pubmed-9222340 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-92223402022-06-24 Extrusion Simulation for the Design of Cereal and Legume Foods Kristiawan, Magdalena Della Valle, Guy Berzin, Françoise Foods Article A 1D global twin-screw extrusion model, implemented in numerical software, Ludovic(®), was applied to predict extrusion variables and, therefore, to design various starchy products with targeted structure and properties. An experimental database was built with seven starchy food formulations for manufacturing dense and expanded foods made from starches, starch blends, breakfast cereals, pulse crop ingredients such as pea flour, fava bean flour, and fava bean starch concentrated, and wheat flour enriched with wheat bran. This database includes the thermal and physical properties of the formulations at solid and molten states, melt viscosity model, extruder configurations and operating parameters, and extruded foods properties. Using extrusion and viscosity models, melt temperature (T) and specific mechanical energy (SME) were satisfactorily predicted. A sensitivity analysis of variables at die exit was performed on formulation, extruder configuration, and operating parameters, generating the extruder operating charts. Results allowed the establishment of relationships between predicted variables (T, SME, melt viscosity) and product features such as starch and protein structural change, density and cellular structure, and functional properties. The extrusion operating conditions leading to targeted food properties can be assessed from these relationships and also the relationship between extrusion operating parameters and variables provided by simulation. MDPI 2022-06-16 /pmc/articles/PMC9222340/ /pubmed/35741977 http://dx.doi.org/10.3390/foods11121780 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/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 (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Kristiawan, Magdalena Della Valle, Guy Berzin, Françoise Extrusion Simulation for the Design of Cereal and Legume Foods |
title | Extrusion Simulation for the Design of Cereal and Legume Foods |
title_full | Extrusion Simulation for the Design of Cereal and Legume Foods |
title_fullStr | Extrusion Simulation for the Design of Cereal and Legume Foods |
title_full_unstemmed | Extrusion Simulation for the Design of Cereal and Legume Foods |
title_short | Extrusion Simulation for the Design of Cereal and Legume Foods |
title_sort | extrusion simulation for the design of cereal and legume foods |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9222340/ https://www.ncbi.nlm.nih.gov/pubmed/35741977 http://dx.doi.org/10.3390/foods11121780 |
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