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Artículo

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

Maciel, GiseleIcon ; Wagner, Jorge RicardoIcon ; Juan, Néstor Antonio; San Martino, Silvina; Bartosik, RicardoIcon
Fecha de publicación: 12/2020
Editorial: International Commission of Agricultural and Biosystems Engineering
Revista: Agricultural Engineering International: CIGR Journal
ISSN: 1682-1130
Idioma: Inglés
Tipo de recurso: Artículo publicado
Clasificación temática:
Otras Ciencias Agrícolas

Resumen

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
Palabras clave: Soybean processing , extrusion-expelling , oil extraction efficiency , chemical composition , individual seed moisture
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info:eu-repo/semantics/openAccess Excepto donde se diga explícitamente, este item se publica bajo la siguiente descripción: Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Unported (CC BY-NC-SA 2.5)
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URI: http://hdl.handle.net/11336/146142
URL: https://cigrjournal.org/index.php/Ejounral/article/view/5991
Colecciones
Articulos (IPADS BALCARCE)
Articulos de INSTITUTO DE INNOVACIÓN PARA LA PRODUCCIÓN AGROPECUARIA Y EL DESARROLLO SOSTENIBLE
Citación
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
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