Cargando…
Multivariate Analysis on the Properties of Intact Cereal Kernels and Their Association with Viscoelasticity at Different Moisture Contents
The viscoelastic properties of cereal kernels are strongly related to their quality, which can be applied to the development of a more selective and objective classification process. In this study, the association between the biophysical and viscoelastic properties of wheat, rye, and triticale kerne...
Autores principales: | , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9956265/ https://www.ncbi.nlm.nih.gov/pubmed/36832883 http://dx.doi.org/10.3390/foods12040808 |
_version_ | 1784894550671622144 |
---|---|
author | Escalante-Aburto, Anayansi Figueroa-Cárdenas, Juan de Dios Dominguez-Lopez, Aurelio García-Lara, Silverio Ponce-García, Néstor |
author_facet | Escalante-Aburto, Anayansi Figueroa-Cárdenas, Juan de Dios Dominguez-Lopez, Aurelio García-Lara, Silverio Ponce-García, Néstor |
author_sort | Escalante-Aburto, Anayansi |
collection | PubMed |
description | The viscoelastic properties of cereal kernels are strongly related to their quality, which can be applied to the development of a more selective and objective classification process. In this study, the association between the biophysical and viscoelastic properties of wheat, rye, and triticale kernels was investigated at different moisture contents (12% and 16%). A uniaxial compression test was performed under a small strain (5%), and the increase in viscoelasticity at 16% moisture content corresponded to proportional increases in biophysical properties such as the appearance and geometry. The biophysical and viscoelastic behaviors of triticale were between those of wheat and rye. A multivariate analysis showed that the appearance and geometric properties significantly influenced kernel features. The maximum force showed strong correlations with all viscoelastic properties, and it can be used to distinguish between cereal types and moisture contents. A principal component analysis was performed to discriminate the effect of the moisture content on different types of cereals and to evaluate the biophysical and viscoelastic properties. The uniaxial compression test under a small strain and the multivariate analysis can be considered a simple and non-destructive tool for assessing the quality of intact cereal kernels. |
format | Online Article Text |
id | pubmed-9956265 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-99562652023-02-25 Multivariate Analysis on the Properties of Intact Cereal Kernels and Their Association with Viscoelasticity at Different Moisture Contents Escalante-Aburto, Anayansi Figueroa-Cárdenas, Juan de Dios Dominguez-Lopez, Aurelio García-Lara, Silverio Ponce-García, Néstor Foods Article The viscoelastic properties of cereal kernels are strongly related to their quality, which can be applied to the development of a more selective and objective classification process. In this study, the association between the biophysical and viscoelastic properties of wheat, rye, and triticale kernels was investigated at different moisture contents (12% and 16%). A uniaxial compression test was performed under a small strain (5%), and the increase in viscoelasticity at 16% moisture content corresponded to proportional increases in biophysical properties such as the appearance and geometry. The biophysical and viscoelastic behaviors of triticale were between those of wheat and rye. A multivariate analysis showed that the appearance and geometric properties significantly influenced kernel features. The maximum force showed strong correlations with all viscoelastic properties, and it can be used to distinguish between cereal types and moisture contents. A principal component analysis was performed to discriminate the effect of the moisture content on different types of cereals and to evaluate the biophysical and viscoelastic properties. The uniaxial compression test under a small strain and the multivariate analysis can be considered a simple and non-destructive tool for assessing the quality of intact cereal kernels. MDPI 2023-02-14 /pmc/articles/PMC9956265/ /pubmed/36832883 http://dx.doi.org/10.3390/foods12040808 Text en © 2023 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 Escalante-Aburto, Anayansi Figueroa-Cárdenas, Juan de Dios Dominguez-Lopez, Aurelio García-Lara, Silverio Ponce-García, Néstor Multivariate Analysis on the Properties of Intact Cereal Kernels and Their Association with Viscoelasticity at Different Moisture Contents |
title | Multivariate Analysis on the Properties of Intact Cereal Kernels and Their Association with Viscoelasticity at Different Moisture Contents |
title_full | Multivariate Analysis on the Properties of Intact Cereal Kernels and Their Association with Viscoelasticity at Different Moisture Contents |
title_fullStr | Multivariate Analysis on the Properties of Intact Cereal Kernels and Their Association with Viscoelasticity at Different Moisture Contents |
title_full_unstemmed | Multivariate Analysis on the Properties of Intact Cereal Kernels and Their Association with Viscoelasticity at Different Moisture Contents |
title_short | Multivariate Analysis on the Properties of Intact Cereal Kernels and Their Association with Viscoelasticity at Different Moisture Contents |
title_sort | multivariate analysis on the properties of intact cereal kernels and their association with viscoelasticity at different moisture contents |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9956265/ https://www.ncbi.nlm.nih.gov/pubmed/36832883 http://dx.doi.org/10.3390/foods12040808 |
work_keys_str_mv | AT escalanteaburtoanayansi multivariateanalysisonthepropertiesofintactcerealkernelsandtheirassociationwithviscoelasticityatdifferentmoisturecontents AT figueroacardenasjuandedios multivariateanalysisonthepropertiesofintactcerealkernelsandtheirassociationwithviscoelasticityatdifferentmoisturecontents AT dominguezlopezaurelio multivariateanalysisonthepropertiesofintactcerealkernelsandtheirassociationwithviscoelasticityatdifferentmoisturecontents AT garcialarasilverio multivariateanalysisonthepropertiesofintactcerealkernelsandtheirassociationwithviscoelasticityatdifferentmoisturecontents AT poncegarcianestor multivariateanalysisonthepropertiesofintactcerealkernelsandtheirassociationwithviscoelasticityatdifferentmoisturecontents |