2018
DOI: 10.31644/imasd.7.2018.a04
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Optimización de la extracción acuosa enzimática del aceite de Oecopetalum Mexicanum

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Cited by 5 publications
(3 citation statements)
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“…Response Surface Methodology (RSM) uses a number of mathematical and statistical techniques which are employed to model and analyze problems in two or more process variables that have an influence on the intended response [4,16,85,88,89] and the objective is to identify the optimal operating conditions for a system under study [90,91]. RSM is based on relating product properties to regression equations that describe inter-relations between input parameters and product properties [26,92].…”
Section: Response Surface Methodology (Rsm)mentioning
confidence: 99%
“…Response Surface Methodology (RSM) uses a number of mathematical and statistical techniques which are employed to model and analyze problems in two or more process variables that have an influence on the intended response [4,16,85,88,89] and the objective is to identify the optimal operating conditions for a system under study [90,91]. RSM is based on relating product properties to regression equations that describe inter-relations between input parameters and product properties [26,92].…”
Section: Response Surface Methodology (Rsm)mentioning
confidence: 99%
“…A partir de la semilla cruda el rendimiento de aceite puede variar de 34.25 a 60.02 % en extracciones por método químico, de 35.90 a 71.10 % a través de métodos enzimáticos y de 105.31 a 115.68 % por método de ultrasonido. Sin embargo, al realizar un proceso de tostado en la semilla, el rendimiento de aceite se reduce a 32.51 % por medio de extracción química y a 41.3 % mediante una extracción mecánica (Chagala-Magdaleno, 2012;Hernandez et al, 2013;Hernández-Mora et al, 2017;Ovando-Chacón, Ovando-Chacón, Borraz-Castañeda, & Meza Gordillo, 2018).…”
Section: End Of English Versionunclassified
“…Unlike the OFAT method, RSM describes the interactions between the input variables and the output response [ 26 , 33 ]. It aims to determine the optimal operating conditions of a system [ 34 ], either to maximize or minimize the response or to a specific value [ 35 ]. In addition, it also aims to establish an adequate approximation of the relationship between the input variables and the output variable through a polynomial model [ 35 ].…”
Section: Introductionmentioning
confidence: 99%