Relationship between wheat flour properties and french bread char- acteristics using principal component analysis
- Autores
- Gallardo, Anabella Elisabet; Sanchez, Hugo Diego; Osella, Carlos Alberto
- Año de publicación
- 2015
- Idioma
- inglés
- Tipo de recurso
- artículo
- Estado
- versión publicada
- Descripción
- The objective was to use Principal Component Analysis as a tool to assess the relationship between physical and rheological characteristics of wheat flour and the quality of french bread. Flours belonging to eight varieties of Argentine commercial wheats (Triticum aestivum L.) were studied. Physical and chemical determinations were performed on grains and then milled to obtain experimental flours. The rheological behaviour of flours was analysed through the alveographic and farinographic parameters and the technological characteristics through the French bread making. Principal component analysis was used as a statistical tool. The three principal components used can explain 78.4% of the variability of the original data extracted. Through the found results a certain association between alveographic and farinograph parameters was obtained, but were not found a close relationship between these physical properties with the specific volume of bread. So the PCA seem not to be an optimal tool to predict the quality of French bread from the properties of wheat flour. Nevertheless, the baking test appears as the more accurate tool to assess globally the parameters that determine the quality of flour.
Fil: Gallardo, Anabella Elisabet. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe; Argentina. Universidad Nacional del Litoral. Facultad de Ingeniería Química. Instituto de Tecnología de los Alimentos; Argentina
Fil: Sanchez, Hugo Diego. Universidad Nacional del Litoral. Facultad de Ingeniería Química. Instituto de Tecnología de los Alimentos; Argentina
Fil: Osella, Carlos Alberto. Universidad Nacional del Litoral. Facultad de Ingeniería Química. Instituto de Tecnología de los Alimentos; Argentina - Materia
-
Baking
Wheat Flour
Principal Component Analysis
French Bread - Nivel de accesibilidad
- acceso abierto
- Condiciones de uso
- https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
- Repositorio
- Institución
- Consejo Nacional de Investigaciones Científicas y Técnicas
- OAI Identificador
- oai:ri.conicet.gov.ar:11336/45693
Ver los metadatos del registro completo
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Relationship between wheat flour properties and french bread char- acteristics using principal component analysisGallardo, Anabella ElisabetSanchez, Hugo DiegoOsella, Carlos AlbertoBakingWheat FlourPrincipal Component AnalysisFrench Breadhttps://purl.org/becyt/ford/2.11https://purl.org/becyt/ford/2The objective was to use Principal Component Analysis as a tool to assess the relationship between physical and rheological characteristics of wheat flour and the quality of french bread. Flours belonging to eight varieties of Argentine commercial wheats (Triticum aestivum L.) were studied. Physical and chemical determinations were performed on grains and then milled to obtain experimental flours. The rheological behaviour of flours was analysed through the alveographic and farinographic parameters and the technological characteristics through the French bread making. Principal component analysis was used as a statistical tool. The three principal components used can explain 78.4% of the variability of the original data extracted. Through the found results a certain association between alveographic and farinograph parameters was obtained, but were not found a close relationship between these physical properties with the specific volume of bread. So the PCA seem not to be an optimal tool to predict the quality of French bread from the properties of wheat flour. Nevertheless, the baking test appears as the more accurate tool to assess globally the parameters that determine the quality of flour.Fil: Gallardo, Anabella Elisabet. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe; Argentina. Universidad Nacional del Litoral. Facultad de Ingeniería Química. Instituto de Tecnología de los Alimentos; ArgentinaFil: Sanchez, Hugo Diego. Universidad Nacional del Litoral. Facultad de Ingeniería Química. Instituto de Tecnología de los Alimentos; ArgentinaFil: Osella, Carlos Alberto. Universidad Nacional del Litoral. Facultad de Ingeniería Química. Instituto de Tecnología de los Alimentos; ArgentinaResearch Journal Biotechnology2015-04info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/45693Gallardo, Anabella Elisabet; Sanchez, Hugo Diego; Osella, Carlos Alberto; Relationship between wheat flour properties and french bread char- acteristics using principal component analysis; Research Journal Biotechnology; Research Journal Of Biotechnology; 2; 2; 4-2015; 37-440973-6263CONICET DigitalCONICETenginfo:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-10T13:11:38Zoai:ri.conicet.gov.ar:11336/45693instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-10 13:11:39.219CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse |
dc.title.none.fl_str_mv |
Relationship between wheat flour properties and french bread char- acteristics using principal component analysis |
title |
Relationship between wheat flour properties and french bread char- acteristics using principal component analysis |
spellingShingle |
Relationship between wheat flour properties and french bread char- acteristics using principal component analysis Gallardo, Anabella Elisabet Baking Wheat Flour Principal Component Analysis French Bread |
title_short |
Relationship between wheat flour properties and french bread char- acteristics using principal component analysis |
title_full |
Relationship between wheat flour properties and french bread char- acteristics using principal component analysis |
title_fullStr |
Relationship between wheat flour properties and french bread char- acteristics using principal component analysis |
title_full_unstemmed |
Relationship between wheat flour properties and french bread char- acteristics using principal component analysis |
title_sort |
Relationship between wheat flour properties and french bread char- acteristics using principal component analysis |
dc.creator.none.fl_str_mv |
Gallardo, Anabella Elisabet Sanchez, Hugo Diego Osella, Carlos Alberto |
author |
Gallardo, Anabella Elisabet |
author_facet |
Gallardo, Anabella Elisabet Sanchez, Hugo Diego Osella, Carlos Alberto |
author_role |
author |
author2 |
Sanchez, Hugo Diego Osella, Carlos Alberto |
author2_role |
author author |
dc.subject.none.fl_str_mv |
Baking Wheat Flour Principal Component Analysis French Bread |
topic |
Baking Wheat Flour Principal Component Analysis French Bread |
purl_subject.fl_str_mv |
https://purl.org/becyt/ford/2.11 https://purl.org/becyt/ford/2 |
dc.description.none.fl_txt_mv |
The objective was to use Principal Component Analysis as a tool to assess the relationship between physical and rheological characteristics of wheat flour and the quality of french bread. Flours belonging to eight varieties of Argentine commercial wheats (Triticum aestivum L.) were studied. Physical and chemical determinations were performed on grains and then milled to obtain experimental flours. The rheological behaviour of flours was analysed through the alveographic and farinographic parameters and the technological characteristics through the French bread making. Principal component analysis was used as a statistical tool. The three principal components used can explain 78.4% of the variability of the original data extracted. Through the found results a certain association between alveographic and farinograph parameters was obtained, but were not found a close relationship between these physical properties with the specific volume of bread. So the PCA seem not to be an optimal tool to predict the quality of French bread from the properties of wheat flour. Nevertheless, the baking test appears as the more accurate tool to assess globally the parameters that determine the quality of flour. Fil: Gallardo, Anabella Elisabet. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe; Argentina. Universidad Nacional del Litoral. Facultad de Ingeniería Química. Instituto de Tecnología de los Alimentos; Argentina Fil: Sanchez, Hugo Diego. Universidad Nacional del Litoral. Facultad de Ingeniería Química. Instituto de Tecnología de los Alimentos; Argentina Fil: Osella, Carlos Alberto. Universidad Nacional del Litoral. Facultad de Ingeniería Química. Instituto de Tecnología de los Alimentos; Argentina |
description |
The objective was to use Principal Component Analysis as a tool to assess the relationship between physical and rheological characteristics of wheat flour and the quality of french bread. Flours belonging to eight varieties of Argentine commercial wheats (Triticum aestivum L.) were studied. Physical and chemical determinations were performed on grains and then milled to obtain experimental flours. The rheological behaviour of flours was analysed through the alveographic and farinographic parameters and the technological characteristics through the French bread making. Principal component analysis was used as a statistical tool. The three principal components used can explain 78.4% of the variability of the original data extracted. Through the found results a certain association between alveographic and farinograph parameters was obtained, but were not found a close relationship between these physical properties with the specific volume of bread. So the PCA seem not to be an optimal tool to predict the quality of French bread from the properties of wheat flour. Nevertheless, the baking test appears as the more accurate tool to assess globally the parameters that determine the quality of flour. |
publishDate |
2015 |
dc.date.none.fl_str_mv |
2015-04 |
dc.type.none.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion http://purl.org/coar/resource_type/c_6501 info:ar-repo/semantics/articulo |
format |
article |
status_str |
publishedVersion |
dc.identifier.none.fl_str_mv |
http://hdl.handle.net/11336/45693 Gallardo, Anabella Elisabet; Sanchez, Hugo Diego; Osella, Carlos Alberto; Relationship between wheat flour properties and french bread char- acteristics using principal component analysis; Research Journal Biotechnology; Research Journal Of Biotechnology; 2; 2; 4-2015; 37-44 0973-6263 CONICET Digital CONICET |
url |
http://hdl.handle.net/11336/45693 |
identifier_str_mv |
Gallardo, Anabella Elisabet; Sanchez, Hugo Diego; Osella, Carlos Alberto; Relationship between wheat flour properties and french bread char- acteristics using principal component analysis; Research Journal Biotechnology; Research Journal Of Biotechnology; 2; 2; 4-2015; 37-44 0973-6263 CONICET Digital CONICET |
dc.language.none.fl_str_mv |
eng |
language |
eng |
dc.rights.none.fl_str_mv |
info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by-nc-sa/2.5/ar/ |
eu_rights_str_mv |
openAccess |
rights_invalid_str_mv |
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/ |
dc.format.none.fl_str_mv |
application/pdf application/pdf |
dc.publisher.none.fl_str_mv |
Research Journal Biotechnology |
publisher.none.fl_str_mv |
Research Journal Biotechnology |
dc.source.none.fl_str_mv |
reponame:CONICET Digital (CONICET) instname:Consejo Nacional de Investigaciones Científicas y Técnicas |
reponame_str |
CONICET Digital (CONICET) |
collection |
CONICET Digital (CONICET) |
instname_str |
Consejo Nacional de Investigaciones Científicas y Técnicas |
repository.name.fl_str_mv |
CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas |
repository.mail.fl_str_mv |
dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar |
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1842980599476781056 |
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12.993085 |