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. Expeller were analyzed for proximal composition, bulk MC, prote...

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Detalles Bibliográficos
Autores: Maciel, Gisele, Wagner, Jorge, Juan, Nestor Antonio, San Martino, Silvina, Bartosik, Ricardo Enrique
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2020
País:Argentina
Institución:Instituto Nacional de Tecnología Agropecuaria
Repositorio:INTA Digital (INTA)
Idioma:inglés
OAI Identifier:oai:localhost:20.500.12123/9612
Acceso en línea:http://hdl.handle.net/20.500.12123/9612
https://cigrjournal.org/index.php/Ejounral/article/view/5991
Access Level:acceso abierto
Palabra clave:Soja
Glycine Max
Semillas
Composición Química
Contenido de Humedad de Semillas
Soybeans
Seed
Chemical Composition
Moisture Content
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spelling Assessment of the main sources of variability of soybean (Glycine max) expeller composition and quality: a field studyMaciel, GiseleWagner, JorgeJuan, Nestor AntonioSan Martino, SilvinaBartosik, Ricardo EnriqueSojaGlycine MaxSemillasComposición QuímicaContenido de Humedad de SemillasSoybeansSeedChemical CompositionMoisture ContentPairs 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. Expeller were 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 MC, 207 g/kg oil and 391g/kg crude protein (CP), while the oil extraction efficiency (OEE) of the process was of 60.7%. The expeller composition was 922 g/kg dry matter (DM), 81g/kg oil and 442 g/kg 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. Results of this work indicated 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 anti-nutritional factors deactivation.EEA BalcarceFil: Maciel, Gisele. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Balcarce; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Instituto de Innovación para la Producción Agropecuaria y el Desarrollo Sostenible; Argentina.Fil: Wagner, Jorge. Universidad Nacional de Quilmes. Departamento de Ciencia y Tecnología; Argentina.Fil: Juan, Néstor A. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Anguil; Argentina.Fil: San Martino, Silvina. Universidad Nacional de Mar del Plata. Facultad de Ciencias Agrarias; Argentina.Fil: Bartosik, Ricardo Enrique. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Balcarce; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Instituto de Innovación para la Producción Agropecuaria y el Desarrollo Sostenible; Argentina.International Commission of Agricultural and Biosystems Engineering2021-06-17T14:53:00Z2021-06-17T14:53:00Z2020-12-26info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfhttp://hdl.handle.net/20.500.12123/9612https://cigrjournal.org/index.php/Ejounral/article/view/599116821130Agricultural Engineering International : CIGR Journal 22 (4 ) : 211-220. (2020)reponame:INTA Digital (INTA)instname:Instituto Nacional de Tecnología Agropecuariaenginfo:eu-repograntAgreement/INTA/2019-PE-E7-I148-001/2019-PE-E7-I148-001/AR./Procesos y tecnologías sostenibles para el agregado de valor en las cadenas y regiones.info:eu-repograntAgreement/INTA/2019-PE-E7-I517-001/2019-PE-E7-I517-001/AR./Calidad nutricional y sensorial de alimentos y aptitud tecnológica de materia prima asociada a sistemas y territorios productivos con foco en las demandas del consumidor.info:eu-repograntAgreement/INTA/2019-PD-E7-I153-001/2019-PD-E7-I153-001/AR./Estrategias tecnológicas innovadoras para la transformación y preservación de alimentosinfo:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nc-sa/4.0/Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)2024-05-15T12:24:57Zoai:localhost:20.500.12123/9612instacron:INTAInstitucionalhttp://repositorio.inta.gob.ar/Organismo científico-tecnológicoNo correspondehttp://repositorio.inta.gob.ar/oai/requesttripaldi.nicolas@inta.gob.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:l2024-05-15 12:24:57.382INTA Digital (INTA) - Instituto Nacional de Tecnología Agropecuariafalse
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
Soja
Glycine Max
Semillas
Composición Química
Contenido de Humedad de Semillas
Soybeans
Seed
Chemical Composition
Moisture Content
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
Juan, Nestor Antonio
San Martino, Silvina
Bartosik, Ricardo Enrique
author Maciel, Gisele
author_facet Maciel, Gisele
Wagner, Jorge
Juan, Nestor Antonio
San Martino, Silvina
Bartosik, Ricardo Enrique
author_role author
author2 Wagner, Jorge
Juan, Nestor Antonio
San Martino, Silvina
Bartosik, Ricardo Enrique
author2_role author
author
author
author
dc.subject.none.fl_str_mv Soja
Glycine Max
Semillas
Composición Química
Contenido de Humedad de Semillas
Soybeans
Seed
Chemical Composition
Moisture Content
topic Soja
Glycine Max
Semillas
Composición Química
Contenido de Humedad de Semillas
Soybeans
Seed
Chemical Composition
Moisture Content
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. Expeller were 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 MC, 207 g/kg oil and 391g/kg crude protein (CP), while the oil extraction efficiency (OEE) of the process was of 60.7%. The expeller composition was 922 g/kg dry matter (DM), 81g/kg oil and 442 g/kg 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. Results of this work indicated 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 anti-nutritional factors deactivation.
publishDate 2020
dc.date.none.fl_str_mv 2020-12-26
2021-06-17T14:53:00Z
2021-06-17T14:53:00Z
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/20.500.12123/9612
https://cigrjournal.org/index.php/Ejounral/article/view/5991
16821130
url http://hdl.handle.net/20.500.12123/9612
https://cigrjournal.org/index.php/Ejounral/article/view/5991
identifier_str_mv 16821130
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repograntAgreement/INTA/2019-PE-E7-I148-001/2019-PE-E7-I148-001/AR./Procesos y tecnologías sostenibles para el agregado de valor en las cadenas y regiones.
info:eu-repograntAgreement/INTA/2019-PE-E7-I517-001/2019-PE-E7-I517-001/AR./Calidad nutricional y sensorial de alimentos y aptitud tecnológica de materia prima asociada a sistemas y territorios productivos con foco en las demandas del consumidor.
info:eu-repograntAgreement/INTA/2019-PD-E7-I153-001/2019-PD-E7-I153-001/AR./Estrategias tecnológicas innovadoras para la transformación y preservación de alimentos
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
http://creativecommons.org/licenses/by-nc-sa/4.0/
Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
eu_rights_str_mv openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by-nc-sa/4.0/
Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
dc.format.none.fl_str_mv 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 Agricultural Engineering International : CIGR Journal 22 (4 ) : 211-220. (2020)
reponame:INTA Digital (INTA)
instname:Instituto Nacional de Tecnología Agropecuaria
instname_str Instituto Nacional de Tecnología Agropecuaria
reponame_str INTA Digital (INTA)
collection INTA Digital (INTA)
repository.name.fl_str_mv INTA Digital (INTA) - Instituto Nacional de Tecnología Agropecuaria
repository.mail.fl_str_mv tripaldi.nicolas@inta.gob.ar
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score 15,811543

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