Optimization of a formulation of dry sweet butifarra made with LLama meat, pecans and kañiwa

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In the formulation of dried sweet sausage, pork meat and fat are traditionally used, which can be replaced by healthy products such as pecans (Carya illinoinensis) and kañiwa (Chenopodium pallidicaule); as well as llama meat (Lama glama) that is low in fat and cholesterol. For this reason, the prese...

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Detalles Bibliográficos
Autores: Salvá Ruiz, Bettit Karim, Elías Peñafiel, Carlos, Larico Condori, Judith
Formato: artículo
Fecha de Publicación:2021
Institución:Universidad Nacional del Altiplano
Repositorio:Revista de Investigaciones Altoandinas
Lenguaje:español
OAI Identifier:oai:huajsapata.unap.edu.pe:article/232
Nivel de acceso:acceso abierto
Materia:optimization
mathematical models
food industry
meat
optimización
modelo matemático
carne
industria alimentaria
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spelling Optimization of a formulation of dry sweet butifarra made with LLama meat, pecans and kañiwaOptimización de una formulación de butifarra dulce seca con carne de Llama, pecanas y kañiwaSalvá Ruiz, Bettit KarimSalvá Ruiz, Bettit KarimElías Peñafiel, CarlosLarico Condori, Judithoptimizationmathematical modelsfood industrymeatoptimización modelo matemáticocarneindustria alimentariaIn the formulation of dried sweet sausage, pork meat and fat are traditionally used, which can be replaced by healthy products such as pecans (Carya illinoinensis) and kañiwa (Chenopodium pallidicaule); as well as llama meat (Lama glama) that is low in fat and cholesterol. For this reason, the present investigation aimed to optimize a formulation of dried sweet sausage considering three main components: llama meat, kañiwa flour and pecans. The D-Optimal mixture design method of the Design-Expert®7 program was applied, obtaining fourteen formulations. For each formulation, color, water activity and texture profile were evaluated. Only the cohesiveness fit a meaningful mathematical model. Subsequently, the optimization of the variable response was carried out, using the desirability function of the "objective value" type, so that the product could resemble the target (sausage made with pork meat and fat). In the sensory analysis of the optimal formulation, four sensory attributes were evaluated: color, odor, taste and texture, in a Z test to demonstrate whether the sample mean of the degree of satisfaction for each attribute of the product was acceptable or not. All these attributes are believed to be above the population mean taken as a target. In conclusion, the optimal formula was composed of 80% llama meat and 20% pecans, observing that kañiwa flour did not improve the texture and color of the sausage.En la formulación de butifarra dulce seca se utiliza tradicionalmente carne y grasa de cerdo, que pueden ser reemplazados por productos saludables como las pecanas (Carya illinoinensis) y kañiwa (Chenopodium pallidicaule); así como también, por carne de llama (Lama glama) que es baja en grasa y colesterol. Por ello, la presente investigación tuvo como objetivo optimizar una formulación de butifarra dulce seca considerando tres componentes principales: carne de llama, harina de kañiwa y pecanas. Se aplicó el método de diseño de mezclas D-Optimal del programa Design-Expert®7 obteniendo catorce formulaciones. Para cada formulación se evaluaron: color, actividad agua y perfil de textura del producto; sólo la cohesividad se ajustó a un modelo matemático significativo. Posteriormente, se realizó la optimización de la variable respuesta, utilizándose la función de deseabilidad del tipo “valor objetivo”, para que el producto se asemeje al patrón (butifarra elaborada con carne y grasa de cerdo). En el análisis sensorial de la formulación óptima se evaluaron cuatro atributos sensoriales: color, olor, sabor y textura, en una prueba Z para demostrar si la media muestral del grado de satisfacción para cada atributo del producto es aceptable o no. Se observó que todos estos atributos estuvieron por encima de la media poblacional tomada como referente. En conclusión, la fórmula óptima estuvo compuesta por 80% de carne de llama y 20% de pecanas, observándose que la harina de kañiwa no mejoraba la textura y el color de la butifarra.Universidad Nacional del Altiplano2021-04-15info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdf//huajsapata.unap.edu.pe/index.php/ria/article/view/23210.18271/ria.2021.232Revista de Investigaciones Altoandinas - Journal of High Andean Research; Vol. 23 No. 2 (2021); 77-84Revista de Investigaciones Altoandinas - Journal of High Andean Research; Vol. 23 Núm. 2 (2021); 77-842306-85822313-2957reponame:Revista de Investigaciones Altoandinasinstname:Universidad Nacional del Altiplanoinstacron:UNAPspa//huajsapata.unap.edu.pe/index.php/ria/article/view/232/198Derechos de autor 2021 Revista de Investigaciones Altoandinasinfo:eu-repo/semantics/openAccessoai:huajsapata.unap.edu.pe:article/2322021-11-09T09:02:35Z
dc.title.none.fl_str_mv Optimization of a formulation of dry sweet butifarra made with LLama meat, pecans and kañiwa
Optimización de una formulación de butifarra dulce seca con carne de Llama, pecanas y kañiwa
title Optimization of a formulation of dry sweet butifarra made with LLama meat, pecans and kañiwa
spellingShingle Optimization of a formulation of dry sweet butifarra made with LLama meat, pecans and kañiwa
Salvá Ruiz, Bettit Karim
optimization
mathematical models
food industry
meat
optimización
modelo matemático
carne
industria alimentaria
title_short Optimization of a formulation of dry sweet butifarra made with LLama meat, pecans and kañiwa
title_full Optimization of a formulation of dry sweet butifarra made with LLama meat, pecans and kañiwa
title_fullStr Optimization of a formulation of dry sweet butifarra made with LLama meat, pecans and kañiwa
title_full_unstemmed Optimization of a formulation of dry sweet butifarra made with LLama meat, pecans and kañiwa
title_sort Optimization of a formulation of dry sweet butifarra made with LLama meat, pecans and kañiwa
dc.creator.none.fl_str_mv Salvá Ruiz, Bettit Karim
Salvá Ruiz, Bettit Karim
Elías Peñafiel, Carlos
Larico Condori, Judith
author Salvá Ruiz, Bettit Karim
author_facet Salvá Ruiz, Bettit Karim
Elías Peñafiel, Carlos
Larico Condori, Judith
author_role author
author2 Elías Peñafiel, Carlos
Larico Condori, Judith
author2_role author
author
dc.subject.none.fl_str_mv optimization
mathematical models
food industry
meat
optimización
modelo matemático
carne
industria alimentaria
topic optimization
mathematical models
food industry
meat
optimización
modelo matemático
carne
industria alimentaria
description In the formulation of dried sweet sausage, pork meat and fat are traditionally used, which can be replaced by healthy products such as pecans (Carya illinoinensis) and kañiwa (Chenopodium pallidicaule); as well as llama meat (Lama glama) that is low in fat and cholesterol. For this reason, the present investigation aimed to optimize a formulation of dried sweet sausage considering three main components: llama meat, kañiwa flour and pecans. The D-Optimal mixture design method of the Design-Expert®7 program was applied, obtaining fourteen formulations. For each formulation, color, water activity and texture profile were evaluated. Only the cohesiveness fit a meaningful mathematical model. Subsequently, the optimization of the variable response was carried out, using the desirability function of the "objective value" type, so that the product could resemble the target (sausage made with pork meat and fat). In the sensory analysis of the optimal formulation, four sensory attributes were evaluated: color, odor, taste and texture, in a Z test to demonstrate whether the sample mean of the degree of satisfaction for each attribute of the product was acceptable or not. All these attributes are believed to be above the population mean taken as a target. In conclusion, the optimal formula was composed of 80% llama meat and 20% pecans, observing that kañiwa flour did not improve the texture and color of the sausage.
publishDate 2021
dc.date.none.fl_str_mv 2021-04-15
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv //huajsapata.unap.edu.pe/index.php/ria/article/view/232
10.18271/ria.2021.232
identifier_str_mv //huajsapata.unap.edu.pe/index.php/ria/article/view/232
10.18271/ria.2021.232
dc.language.none.fl_str_mv spa
language spa
dc.relation.none.fl_str_mv //huajsapata.unap.edu.pe/index.php/ria/article/view/232/198
dc.rights.none.fl_str_mv Derechos de autor 2021 Revista de Investigaciones Altoandinas
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Derechos de autor 2021 Revista de Investigaciones Altoandinas
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Universidad Nacional del Altiplano
publisher.none.fl_str_mv Universidad Nacional del Altiplano
dc.source.none.fl_str_mv Revista de Investigaciones Altoandinas - Journal of High Andean Research; Vol. 23 No. 2 (2021); 77-84
Revista de Investigaciones Altoandinas - Journal of High Andean Research; Vol. 23 Núm. 2 (2021); 77-84
2306-8582
2313-2957
reponame:Revista de Investigaciones Altoandinas
instname:Universidad Nacional del Altiplano
instacron:UNAP
instname_str Universidad Nacional del Altiplano
instacron_str UNAP
institution UNAP
reponame_str Revista de Investigaciones Altoandinas
collection Revista de Investigaciones Altoandinas
repository.name.fl_str_mv
repository.mail.fl_str_mv
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