Assessment of the main sources of variability of soybean (Glycine max) expeller composition and quality: a field study

Pairs of soybean seeds and their correspondent expeller samples were collected from ten extrusion-expelling processing plants in Argentina. Seeds were analyzed for proximal composition, bulk moisture content (MC) and individual seed MC. Soybean expeller (SBE) samples were e analyzed for proximal com...

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Detalles Bibliográficos
Autores: Maciel, Gisele, Wagner, Jorge Ricardo, Juan, Néstor Antonio, San Martino, Silvina, Bartosik, Ricardo
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2020
País:Argentina
Institución:Consejo Nacional de Investigaciones Científicas y Técnicas
Repositorio:CONICET Digital (CONICET)
Idioma:inglés
OAI Identifier:oai:ri.conicet.gov.ar:11336/146142
Acceso en línea:http://hdl.handle.net/11336/146142
Access Level:acceso abierto
Palabra clave:Soybean processing
extrusion-expelling
oil extraction efficiency
chemical composition
individual seed moisture
https://purl.org/becyt/ford/4.5
https://purl.org/becyt/ford/4
id AR_bd8a4eb01f31fa63083cb5dcbc2aff38
oai_identifier_str oai:ri.conicet.gov.ar:11336/146142
network_acronym_str AR
network_name_str Argentina
repository_id_str
dc.title.none.fl_str_mv Assessment of the main sources of variability of soybean (Glycine max) expeller composition and quality: a field study
title Assessment of the main sources of variability of soybean (Glycine max) expeller composition and quality: a field study
spellingShingle Assessment of the main sources of variability of soybean (Glycine max) expeller composition and quality: a field study
Maciel, Gisele
Soybean processing
extrusion-expelling
oil extraction efficiency
chemical composition
individual seed moisture
https://purl.org/becyt/ford/4.5
https://purl.org/becyt/ford/4
title_short Assessment of the main sources of variability of soybean (Glycine max) expeller composition and quality: a field study
title_full Assessment of the main sources of variability of soybean (Glycine max) expeller composition and quality: a field study
title_fullStr Assessment of the main sources of variability of soybean (Glycine max) expeller composition and quality: a field study
title_full_unstemmed Assessment of the main sources of variability of soybean (Glycine max) expeller composition and quality: a field study
title_sort Assessment of the main sources of variability of soybean (Glycine max) expeller composition and quality: a field study
dc.creator.none.fl_str_mv Maciel, Gisele
Wagner, Jorge Ricardo
Juan, Néstor Antonio
San Martino, Silvina
Bartosik, Ricardo
author Maciel, Gisele
author_facet Maciel, Gisele
Wagner, Jorge Ricardo
Juan, Néstor Antonio
San Martino, Silvina
Bartosik, Ricardo
author_role author
author2 Wagner, Jorge Ricardo
Juan, Néstor Antonio
San Martino, Silvina
Bartosik, Ricardo
author2_role author
author
author
author
dc.subject.none.fl_str_mv Soybean processing
extrusion-expelling
oil extraction efficiency
chemical composition
individual seed moisture
https://purl.org/becyt/ford/4.5
https://purl.org/becyt/ford/4
topic Soybean processing
extrusion-expelling
oil extraction efficiency
chemical composition
individual seed moisture
https://purl.org/becyt/ford/4.5
https://purl.org/becyt/ford/4
description Pairs of soybean seeds and their correspondent expeller samples were collected from ten extrusion-expelling processing plants in Argentina. Seeds were analyzed for proximal composition, bulk moisture content (MC) and individual seed MC. Soybean expeller (SBE) samples were e analyzed for proximal composition, bulk MC, protein solubility in KOH, expeller urease activity and free fatty acid content. Results indicated that average soybean composition was 136 g kg-1 MC, 207 g kg-1 oil and 391 g kg-1 crude protein (CP), while the oil extraction efficiency (OEE) of the process was 60.7%. The expeller composition was 928 g kg-1 dry matter (DM), 81 g kg-1 oil and 442 g kg-1 CP. In soybean seeds, coefficient of variation (CV) of MC was 17.2%, 3.0% for CP and 5.1% for oil, while in SBE, CV for DM was 2.9%, 3.9% for CP and 19.7% for oil. A relationship among soybean seed MC, OEE and expeller composition was found. The findings indicate that conditioning the soybean MC prior to processing is important not only to maximize OEE, but also to achieve uniform expeller composition and to assure deactivation of anti-nutritional factors
publishDate 2020
dc.date.none.fl_str_mv 2020-12
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/11336/146142
Maciel, Gisele; Wagner, Jorge Ricardo; Juan, Néstor Antonio; San Martino, Silvina; Bartosik, Ricardo; Assessment of the main sources of variability of soybean (Glycine max) expeller composition and quality: a field study; International Commission of Agricultural and Biosystems Engineering; Agricultural Engineering International: CIGR Journal; 22; 4; 12-2020; 211-220
1682-1130
CONICET Digital
CONICET
url http://hdl.handle.net/11336/146142
identifier_str_mv Maciel, Gisele; Wagner, Jorge Ricardo; Juan, Néstor Antonio; San Martino, Silvina; Bartosik, Ricardo; Assessment of the main sources of variability of soybean (Glycine max) expeller composition and quality: a field study; International Commission of Agricultural and Biosystems Engineering; Agricultural Engineering International: CIGR Journal; 22; 4; 12-2020; 211-220
1682-1130
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/https://cigrjournal.org/index.php/Ejounral/article/view/5991
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 International Commission of Agricultural and Biosystems Engineering
publisher.none.fl_str_mv International Commission of Agricultural and Biosystems Engineering
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
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
_version_ 1799196164691591168
spelling Assessment of the main sources of variability of soybean (Glycine max) expeller composition and quality: a field studyMaciel, GiseleWagner, Jorge RicardoJuan, Néstor AntonioSan Martino, SilvinaBartosik, RicardoSoybean processingextrusion-expellingoil extraction efficiencychemical compositionindividual seed moisturehttps://purl.org/becyt/ford/4.5https://purl.org/becyt/ford/4Pairs of soybean seeds and their correspondent expeller samples were collected from ten extrusion-expelling processing plants in Argentina. Seeds were analyzed for proximal composition, bulk moisture content (MC) and individual seed MC. Soybean expeller (SBE) samples were e analyzed for proximal composition, bulk MC, protein solubility in KOH, expeller urease activity and free fatty acid content. Results indicated that average soybean composition was 136 g kg-1 MC, 207 g kg-1 oil and 391 g kg-1 crude protein (CP), while the oil extraction efficiency (OEE) of the process was 60.7%. The expeller composition was 928 g kg-1 dry matter (DM), 81 g kg-1 oil and 442 g kg-1 CP. In soybean seeds, coefficient of variation (CV) of MC was 17.2%, 3.0% for CP and 5.1% for oil, while in SBE, CV for DM was 2.9%, 3.9% for CP and 19.7% for oil. A relationship among soybean seed MC, OEE and expeller composition was found. The findings indicate that conditioning the soybean MC prior to processing is important not only to maximize OEE, but also to achieve uniform expeller composition and to assure deactivation of anti-nutritional factorsFil: Maciel, Gisele. Consejo Nacional de Investigaciones Cientificas y Tecnicas. Centro Cientifico Tecnologico Conicet - Mar del Plata. Instituto de Innovación Para la Producción Agropecuaria y El Desarrollo Sostenible. - Instituto Nacional de Tecnologia Agropecuaria. Centro Regional Buenos Aires Sur. Estacion Experimental Agropecuaria Balcarce. Instituto de Innovación Para la Producción Agropecuaria y El Desarrollo Sostenible.; ArgentinaFil: Wagner, Jorge Ricardo. Universidad Nacional de Quilmes. Departamento de Ciencia y Tecnología. Área Ingeniería en Alimentos; ArgentinaFil: Juan, Néstor Antonio. Instituto Nacional de Tecnología Agropecuaria; ArgentinaFil: San Martino, Silvina. Universidad Nacional de Mar del Plata. Facultad de Ciencias Agrarias; ArgentinaFil: Bartosik, Ricardo. Consejo Nacional de Investigaciones Cientificas y Tecnicas. Centro Cientifico Tecnologico Conicet - Mar del Plata. Instituto de Innovación Para la Producción Agropecuaria y El Desarrollo Sostenible. - Instituto Nacional de Tecnologia Agropecuaria. Centro Regional Buenos Aires Sur. Estacion Experimental Agropecuaria Balcarce. Instituto de Innovación Para la Producción Agropecuaria y El Desarrollo Sostenible.; ArgentinaInternational Commission of Agricultural and Biosystems Engineering2020-12info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/146142Maciel, Gisele; Wagner, Jorge Ricardo; Juan, Néstor Antonio; San Martino, Silvina; Bartosik, Ricardo; Assessment of the main sources of variability of soybean (Glycine max) expeller composition and quality: a field study; International Commission of Agricultural and Biosystems Engineering; Agricultural Engineering International: CIGR Journal; 22; 4; 12-2020; 211-2201682-1130CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://cigrjournal.org/index.php/Ejounral/article/view/5991info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2024-05-08T14:17:10Zoai:ri.conicet.gov.ar:11336/146142instacron: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:34982024-05-08 14:17:10.644CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
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