Optimization of the steam quinoa cooking process was carried out, using a response surface design (RSM) 3-level: 3k factorial, and the multiple response optimization methodology of the desirability function (Dx) was used to find the optimal region, which are improved tools to optimize the variables of a process, evaluate the maximization of the water absorption index (WAI), water solubility index (WSI), degree of gelatinization (GE) and the minimization of cotyledon detachment (DC) of quinoa (Chenopodium quinoa Willd). The equipment used was a vertical cook with a steam generator, the study cooking variables, the steam pressure, and the cooking time. The optimal process values were: Pressure 1.5 kgf.cm-2 and time 8 minutes for the best characteristics of cooked quinoa WSI of 26.411%, WAI of 7.960 (g.g-1), GE of 89.245% and CD of 18.40%, the value of the desirability function as an indica...

Optimization of the steam quinoa cooking process was carried out, using a response surface design (RSM) 3-level: 3k factorial, and the multiple response optimization methodology of the desirability function (Dx) was used to find the optimal region, which are improved tools to optimize the variables of a process, evaluate the maximization of the water absorption index (WAI), water solubility index (WSI), degree of gelatinization (GE) and the minimization of cotyledon detachment (DC) of quinoa (Chenopodium quinoa Willd). The equipment used was a vertical cook with a steam generator, the study cooking variables, the steam pressure, and the cooking time. The optimal process values were: Pressure 1.5 kgf.cm-2 and time 8 minutes for the best characteristics of cooked quinoa WSI of 26.411%, WAI of 7.960 (g.g-1), GE of 89.245% and CD of 18.40%, the value of the desirability function as an indica...