Development of a zero trans margarine from soybean-based interesterified fats formulated using artificial neural networks.

Detalhes bibliográficos
Autor(a) principal: Garcia, Rita de Kássia de Almeida
Data de Publicação: 2013
Outros Autores: Granda, Kelly Moreira Bezerra, Arellano, Daniel Barrera
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da UFOP
Texto Completo: http://www.repositorio.ufop.br/handle/123456789/5584
https://doi.org/10.3989/gya.049113
Resumo: The formulation of products with low levels of saturated and trans fatty acids is a new challenge for industries, and alternative raw materials have been studied. Artificial neural networks (ANNs) have been used for this process. The objective of the present study was to formulate blends, with the help of an ANN, using soybean-based interesterified fats for the production of a zero trans fat margarine similar to a margarine produced using a specific commercial fat. The software was trained with three raw materials to generate formulations with a solid fat content (SFC) and a melting point (MP) similar to specific commercial fats. The SFC, MP, fatty acid and triacylglycerol composition were determined for all ANN blends and commercial fats. Margarines were produced in a pilot plant and evaluated for consistency and stability under temperature cyclization. The ANN showed efficiency in to predict SFC and MP of the suggested formulations, although there were differences at low temperatures for the desired SFC. Differences in the consistency of the commercial fats and ANN blends were observed; however, the margarines produced in the pilot plant had a similar consistency. The margarine prepared with ANN formulation had a higher emulsion stability. Overall, the margarine produced with ANN formulation had characteristics very similar to margarine produced with the commercial fat, and the margarine with soybean-based fat contained reduced saturated and trans fat levels.
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spelling Garcia, Rita de Kássia de AlmeidaGranda, Kelly Moreira BezerraArellano, Daniel Barrera2015-05-28T17:33:21Z2015-05-28T17:33:21Z2013GARCIA, R. de K. de A.; GRANDA, K. M. B.; ARELLANO, D. B. Development of a zero trans margarine from soybean-based interesterified fats formulated using artificial neural networks. Grasas y Aceites, v. 64, p. 521-530, 2013. Disponível em: <http://grasasyaceites.revistas.csic.es/index.php/grasasyaceites/article/viewArticle/1458>. Acesso em: 22 mai. 2015.0017-3495http://www.repositorio.ufop.br/handle/123456789/5584https://doi.org/10.3989/gya.049113The formulation of products with low levels of saturated and trans fatty acids is a new challenge for industries, and alternative raw materials have been studied. Artificial neural networks (ANNs) have been used for this process. The objective of the present study was to formulate blends, with the help of an ANN, using soybean-based interesterified fats for the production of a zero trans fat margarine similar to a margarine produced using a specific commercial fat. The software was trained with three raw materials to generate formulations with a solid fat content (SFC) and a melting point (MP) similar to specific commercial fats. The SFC, MP, fatty acid and triacylglycerol composition were determined for all ANN blends and commercial fats. Margarines were produced in a pilot plant and evaluated for consistency and stability under temperature cyclization. The ANN showed efficiency in to predict SFC and MP of the suggested formulations, although there were differences at low temperatures for the desired SFC. Differences in the consistency of the commercial fats and ANN blends were observed; however, the margarines produced in the pilot plant had a similar consistency. The margarine prepared with ANN formulation had a higher emulsion stability. Overall, the margarine produced with ANN formulation had characteristics very similar to margarine produced with the commercial fat, and the margarine with soybean-based fat contained reduced saturated and trans fat levels.La formulación de productos con bajos niveles de ácidos grasos trans y saturados es el nuevo desafio para la indutria grasa, y nuevas materias primas alternativas están siendo estudiadas. Las redes neuronales artificiales (RNA) están siendo usadas para este proceso. El objectivo de este estúdio fue formular mezclas para margarinas con La ayuda de una RNA, usando grasas interesterificadas de soja para producir margarinas cero trans con funcionalidad similar a las margarinas producidas comercialmente. El software fue entrenado com tres materias primas distintas para generar formulaciones con contenido de grasa solida (CGS) y punto de fusión (PF) similar al de grasas comerciales específicas. El CGS, PF, la composición en ácidos grasos y triglicéridos fueron determinadas para todas las formulaciones de la RNA y de las grasas comerciales. Las margarinas fueron producidas em planta piloto y se evaluó la consistencia y estabilidad por ciclización de temperatura. La RNA fue eficiente en predecir los CGS y PF de las fomulaciones sugeridas por ella, aunque hubo diferencias a bajas temperaturas para el CGS deseado. Se observaron diferencias en consistencia entre las grasas comerciales y mezclas de la RNA, sin embargo, las margarinas producidas en planta piloto mostraron una consistencia similar. La margarina producida con la formulación de la RNA presentó mayor estabilidad de emulsión. En general, la margarina producida con la formulación de la RNA tiene características muy similares a la margarina preparada con la grasa comercial, además las margarinas con grasa a base de soja contenía niveles reducidos de grasa trans y saturada.Contenido de grasa solidaGrasas interesterificadasPunto de fusiónSolid fat contentMelting pointDevelopment of a zero trans margarine from soybean-based interesterified fats formulated using artificial neural networks.Desarrollo de margarina cero trans formulada a partir de grasa de soja interesterificada, utilizando una red neuronal artificial.info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleOs trabalhos publicados na Revista Grasas y Aceites estão sob Licença Creative Commons que permite copiar, distribuir e transmitir o trabalho desde que sejam citados o autor e o licenciante. Fonte: Revista Grasas y Aceites <http://grasasyaceites.revistas.csic.es/index.php/grasasyaceites/index>. Acesso em: 27 jan. 2017.info:eu-repo/semantics/openAccessengreponame:Repositório Institucional da UFOPinstname:Universidade Federal de Ouro Preto (UFOP)instacron:UFOPLICENSElicense.txtlicense.txttext/plain; charset=utf-82636http://www.repositorio.ufop.br/bitstream/123456789/5584/2/license.txtc2ffdd99e58acf69202dff00d361f23aMD52ORIGINALARTIGO_DevelopmentZeroTrans.pdfARTIGO_DevelopmentZeroTrans.pdfapplication/pdf270432http://www.repositorio.ufop.br/bitstream/123456789/5584/1/ARTIGO_DevelopmentZeroTrans.pdff27884d40a05c155f31f1e203fcc0c58MD51123456789/55842019-07-30 13:05:37.259oai:localhost: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Repositório InstitucionalPUBhttp://www.repositorio.ufop.br/oai/requestrepositorio@ufop.edu.bropendoar:32332019-07-30T17:05:37Repositório Institucional da UFOP - Universidade Federal de Ouro Preto (UFOP)false
dc.title.pt_BR.fl_str_mv Development of a zero trans margarine from soybean-based interesterified fats formulated using artificial neural networks.
dc.title.alternative.pt_BR.fl_str_mv Desarrollo de margarina cero trans formulada a partir de grasa de soja interesterificada, utilizando una red neuronal artificial.
title Development of a zero trans margarine from soybean-based interesterified fats formulated using artificial neural networks.
spellingShingle Development of a zero trans margarine from soybean-based interesterified fats formulated using artificial neural networks.
Garcia, Rita de Kássia de Almeida
Contenido de grasa solida
Grasas interesterificadas
Punto de fusión
Solid fat content
Melting point
title_short Development of a zero trans margarine from soybean-based interesterified fats formulated using artificial neural networks.
title_full Development of a zero trans margarine from soybean-based interesterified fats formulated using artificial neural networks.
title_fullStr Development of a zero trans margarine from soybean-based interesterified fats formulated using artificial neural networks.
title_full_unstemmed Development of a zero trans margarine from soybean-based interesterified fats formulated using artificial neural networks.
title_sort Development of a zero trans margarine from soybean-based interesterified fats formulated using artificial neural networks.
author Garcia, Rita de Kássia de Almeida
author_facet Garcia, Rita de Kássia de Almeida
Granda, Kelly Moreira Bezerra
Arellano, Daniel Barrera
author_role author
author2 Granda, Kelly Moreira Bezerra
Arellano, Daniel Barrera
author2_role author
author
dc.contributor.author.fl_str_mv Garcia, Rita de Kássia de Almeida
Granda, Kelly Moreira Bezerra
Arellano, Daniel Barrera
dc.subject.por.fl_str_mv Contenido de grasa solida
Grasas interesterificadas
Punto de fusión
Solid fat content
Melting point
topic Contenido de grasa solida
Grasas interesterificadas
Punto de fusión
Solid fat content
Melting point
description The formulation of products with low levels of saturated and trans fatty acids is a new challenge for industries, and alternative raw materials have been studied. Artificial neural networks (ANNs) have been used for this process. The objective of the present study was to formulate blends, with the help of an ANN, using soybean-based interesterified fats for the production of a zero trans fat margarine similar to a margarine produced using a specific commercial fat. The software was trained with three raw materials to generate formulations with a solid fat content (SFC) and a melting point (MP) similar to specific commercial fats. The SFC, MP, fatty acid and triacylglycerol composition were determined for all ANN blends and commercial fats. Margarines were produced in a pilot plant and evaluated for consistency and stability under temperature cyclization. The ANN showed efficiency in to predict SFC and MP of the suggested formulations, although there were differences at low temperatures for the desired SFC. Differences in the consistency of the commercial fats and ANN blends were observed; however, the margarines produced in the pilot plant had a similar consistency. The margarine prepared with ANN formulation had a higher emulsion stability. Overall, the margarine produced with ANN formulation had characteristics very similar to margarine produced with the commercial fat, and the margarine with soybean-based fat contained reduced saturated and trans fat levels.
publishDate 2013
dc.date.issued.fl_str_mv 2013
dc.date.accessioned.fl_str_mv 2015-05-28T17:33:21Z
dc.date.available.fl_str_mv 2015-05-28T17:33:21Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
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dc.identifier.citation.fl_str_mv GARCIA, R. de K. de A.; GRANDA, K. M. B.; ARELLANO, D. B. Development of a zero trans margarine from soybean-based interesterified fats formulated using artificial neural networks. Grasas y Aceites, v. 64, p. 521-530, 2013. Disponível em: <http://grasasyaceites.revistas.csic.es/index.php/grasasyaceites/article/viewArticle/1458>. Acesso em: 22 mai. 2015.
dc.identifier.uri.fl_str_mv http://www.repositorio.ufop.br/handle/123456789/5584
dc.identifier.issn.none.fl_str_mv 0017-3495
dc.identifier.doi.none.fl_str_mv https://doi.org/10.3989/gya.049113
identifier_str_mv GARCIA, R. de K. de A.; GRANDA, K. M. B.; ARELLANO, D. B. Development of a zero trans margarine from soybean-based interesterified fats formulated using artificial neural networks. Grasas y Aceites, v. 64, p. 521-530, 2013. Disponível em: <http://grasasyaceites.revistas.csic.es/index.php/grasasyaceites/article/viewArticle/1458>. Acesso em: 22 mai. 2015.
0017-3495
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https://doi.org/10.3989/gya.049113
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