Evidence map›Paper›PMID 35734130›Full record

ArticleJournal of food science and technology2022

Multivariate analysis to select chemical compounds and rheological parameters as predictors of bread quality: interaction of wheat genotype and particle size of fine bran.

Ofelia Rouzaud-Sández, Alán Pavlovich-Abril, María Guadalupe Salazar-García, Rosario Maribel Robles-Sánchez, Reyna Luz Vidal-Quintanar

Abstract read
In one paragraph

Article in Journal of food science and technology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Ofelia Rouzaud-SándezDepartamento de Investigación y Posgrado en Alimentos, Universidad de Sonora, Boulevard Luis Encinas y Rosales S/N. Col. Centro, P. O. Box 1685, 83000 Hermosillo, Sonora México.ORCID 0000-0002-6541-6782
Alán Pavlovich-AbrilDepartamento de Investigación y Posgrado en Alimentos, Universidad de Sonora, Boulevard Luis Encinas y Rosales S/N. Col. Centro, P. O. Box 1685, 83000 Hermosillo, Sonora México.ORCID 0000-0002-3628-0986
María Guadalupe Salazar-GarcíaDepartamento de Investigación y Posgrado en Alimentos, Universidad de Sonora, Boulevard Luis Encinas y Rosales S/N. Col. Centro, P. O. Box 1685, 83000 Hermosillo, Sonora México.
Rosario Maribel Robles-SánchezDepartamento de Investigación y Posgrado en Alimentos, Universidad de Sonora, Boulevard Luis Encinas y Rosales S/N. Col. Centro, P. O. Box 1685, 83000 Hermosillo, Sonora México.
Reyna Luz Vidal-QuintanarDepartamento de Investigación y Posgrado en Alimentos, Universidad de Sonora, Boulevard Luis Encinas y Rosales S/N. Col. Centro, P. O. Box 1685, 83000 Hermosillo, Sonora México.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This assay was performed to select chemical compounds and rheological parameters for the prediction of the bread volume and crumb firmness of breads made with a blend of wheat flour-fine bran, using multivariate analysis. Two main factors were used, the source of fine bran and the particle size of fine bran. The experiment consisted in a completely random design, in a 2 × 3 factorial arrangement, the statistical analysis shown that the particle size of fine bran influence almost all the analytical variables. In addition, discriminant analysis was performed to analyse which rheological parameters and chemical components show the greater influence on dough behaviour and bread quality. Biaxial extensional viscosity, farinograph consistency, dough development time and stability were the main rheological parameters that govern the specific volume and crumb firmness and, were both closely related to the fibre, protein and starch content in the flour-fine bran blends. Particle size-genotype interaction has a significant influence on gelatinisation enthalpy and biaxial extensional viscosity that change the bread volume and the crumb firmness. The simplicity of linear equation of five independent variables to predict bread quality with high levels of accuracy could be advantageous in both basic research and the routine quality control of wheat mills. Supplementary Information: The online version contains supplementary material available at 10.1007/s13197-021-05290-3.

Indexed as

Bread qualityChemical compositionDiscriminant analysisFine-bran wheatLinear combinationRheological properties

Identifiers

PMID35734130
PMCPMC9206960

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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.