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...
| Main Authors: | , , , , |
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| Format: | Artículo |
| Language: | Inglés |
| Published: |
International Commission of Agricultural and Biosystems Engineering
2021
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| Online Access: | http://hdl.handle.net/20.500.12123/9612 https://cigrjournal.org/index.php/Ejounral/article/view/5991 |
| _version_ | 1855484428121276416 |
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| author | Maciel, Gisele Wagner, Jorge Juan, Nestor Antonio San Martino, Silvina Bartosik, Ricardo Enrique |
| author_browse | Bartosik, Ricardo Enrique Juan, Nestor Antonio Maciel, Gisele San Martino, Silvina Wagner, Jorge |
| author_facet | Maciel, Gisele Wagner, Jorge Juan, Nestor Antonio San Martino, Silvina Bartosik, Ricardo Enrique |
| author_sort | Maciel, Gisele |
| collection | INTA Digital |
| 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. |
| format | Artículo |
| id | INTA9612 |
| institution | Instituto Nacional de Tecnología Agropecuaria (INTA -Argentina) |
| language | Inglés |
| publishDate | 2021 |
| publishDateRange | 2021 |
| publishDateSort | 2021 |
| publisher | International Commission of Agricultural and Biosystems Engineering |
| publisherStr | International Commission of Agricultural and Biosystems Engineering |
| record_format | dspace |
| spelling | INTA96122021-06-17T15:01:46Z Assessment of the main sources of variability of soybean (Glycine max) expeller composition and quality: a field study Maciel, Gisele Wagner, Jorge Juan, Nestor Antonio San Martino, Silvina Bartosik, Ricardo Enrique Soja Glycine Max Semillas Composición Química Contenido de Humedad de Semillas Soybeans Seed Chemical Composition Moisture Content 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. EEA Balcarce Fil: 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. 2021-06-17T14:53:00Z 2021-06-17T14:53:00Z 2020-12-26 info:ar-repo/semantics/artículo info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion http://hdl.handle.net/20.500.12123/9612 https://cigrjournal.org/index.php/Ejounral/article/view/5991 16821130 eng 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 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) application/pdf International Commission of Agricultural and Biosystems Engineering Agricultural Engineering International : CIGR Journal 22 (4 ) : 211-220. (2020) |
| spellingShingle | Soja Glycine Max Semillas Composición Química Contenido de Humedad de Semillas Soybeans Seed Chemical Composition Moisture Content Maciel, Gisele Wagner, Jorge Juan, Nestor Antonio San Martino, Silvina Bartosik, Ricardo Enrique 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 |
| 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_short | 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 |
| topic | Soja Glycine Max Semillas Composición Química Contenido de Humedad de Semillas Soybeans Seed Chemical Composition Moisture Content |
| url | http://hdl.handle.net/20.500.12123/9612 https://cigrjournal.org/index.php/Ejounral/article/view/5991 |
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