2016
DOI: 10.1016/j.lwt.2015.08.056
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Optimization of wheat sprouting for production of selenium enriched kernels using response surface methodology and desirability function

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Cited by 19 publications
(14 citation statements)
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“…[1][2][3][4][5][6][7] After being absorbed by the gut this element plays an important anti-oxidant role, primarily as selenomethionine (SeMet), acting in the treatment and prevention of cancer and cardiac diseases. Despite its relevant characteristics, Se is not present in appropriate levels in most types of food and this low ingestion level has been associated with a massive list of direct and indirect negative health effects.…”
Section: Introductionmentioning
confidence: 99%
See 1 more Smart Citation
“…[1][2][3][4][5][6][7] After being absorbed by the gut this element plays an important anti-oxidant role, primarily as selenomethionine (SeMet), acting in the treatment and prevention of cancer and cardiac diseases. Despite its relevant characteristics, Se is not present in appropriate levels in most types of food and this low ingestion level has been associated with a massive list of direct and indirect negative health effects.…”
Section: Introductionmentioning
confidence: 99%
“…It was noticed that the Se biofortification slightly reduced (methylthio)glucosinolates and aglycons in the roots, but increased them in the florets, the leaves, and sometimes the stems. Lazo-Vélez et al 5 optimized the production of wheat sprouting with the addition of selenite considering the selenomethionine content and the amylase activity. The generated models with desirability methodology could be useful to optimize selenomethionine content and alpha amylase activity in Se-enriched sprouted wheat.…”
Section: Introductionmentioning
confidence: 99%
“…The control factors were zinc concentration, soaking time in zinc solution and sprouting temperature (eight experiments were conducted, 2 3 factorial design). Factors levels (Table ) were selected according to previous studies . The quadratic model applied to predict the response variables is given by Yj=b0+b1x1+b2x2+b3x3+b12x1x2+b13x1x3+b32x3x2+b11x12+b22x22+b33x32+e …”
Section: Methodsmentioning
confidence: 99%
“…There are cases with several response variables of interest or the relationship between the response variables and design variables is too complex to be efficiently estimated using traditional surface fitting approaches [24]. Transformation of a multiple response problem into a single response problem by means of mathematical transformations represents the basic idea of the desirability function approach [25] which is used for description of simultaneous optimum conditions for all significant responses [26]. The concept of this function is that the quality of a product or process that has many responses is completely unacceptable if one of them is outside of a "desirable" limit.…”
Section: Optimization Of the Microfiltration Process Using Desirabilimentioning
confidence: 99%