Evidence map›Paper›PMID 36832883›Full record

ArticleFoods (Basel, Switzerland)2023

Multivariate Analysis on the Properties of Intact Cereal Kernels and Their Association with Viscoelasticity at Different Moisture Contents.

Anayansi Escalante-Aburto, Juan de Dios Figueroa-Cárdenas, Aurelio Dominguez-Lopez, Silverio García-Lara, Néstor Ponce-García

Abstract read
In one paragraph

Article in Foods (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Anayansi Escalante-AburtoTecnologico de Monterrey, The Institute for Obesity Research, Monterrey 64700, Mexico.ORCID 0000-0002-6781-5154
Juan de Dios Figueroa-CárdenasCentro de Investigación y Estudios Avanzados (CINVESTAV) Unidad Querétaro, Querétaro 76230, Mexico.
Aurelio Dominguez-LopezFacultad de Ciencias Agrícolas, Universidad Autónoma del Estado de Mexico (UAEMex), Toluca 50200, Mexico.
Silverio García-LaraTecnologico de Monterrey, Escuela de Ingeniería y Ciencias, Monterrey 64700, Mexico.ORCID 0000-0002-3463-957X
Néstor Ponce-GarcíaFacultad de Ciencias Agrícolas, Universidad Autónoma del Estado de Mexico (UAEMex), Toluca 50200, Mexico.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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.

Indexed as

biophysical propertiescerealsmultivariate analysisuniaxial compressionviscoelasticity

Identifiers

PMID36832883
PMCPMC9956265

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.