Ultrasound (US) was applied as a pre-treatment in hydrated soybeans (HSB) and soybean slurry (SBS) during soymilk elaboration process to evaluate the feasibility of increasing the isoflavone content (IC) in the resultant soymilk. A predictive model and optimum US processing conditions were obtained by response surface methodology (RSM) using a three-level-three-factor Box-Behnken statistical design (BBD) in which US amplitude (50, 75, and 100%), temperature (30, 45, and 60 °C), and time (20, 40, and 60 min) were selected as independent variables. Most of the US treatments applied in the HSB or SBS caused a significant increase (3-62%) in the total IC of the obtained soymilks over the control soymilk (6.97 mg/100 mL). However, the IC of the resultant soymilks from sonicated HSB (11.38 mg/100 mL) was significantly higher than that in soymilk prepared from US-treated SBS (8.66 mg/100 mL). Experimental data were fitted into a 2nd-order-polynomial model and processing parameters were optimized (100% amplitude, 30 °C, 20 min) to get the highest predicted and experimental IC, 11.38 and 12.8 mg/100 mL, respectively. These results indicated that US is a potential technology that could be implemented during soymilk manufacturing processing as pre-treatment of HSB to obtain soymilk with high isoflavone content and consequently better functionality.
M. Morales de la Peña thanks Tecnologico de Monterrey, Mexico for the Postdoctoral Research Founds through the Project FUNFOODEMERTEC.
Inglés
Ultrasound; Soymilk; Isoflavones; Response surface methodology; Box-Behnken design
Elsevier
Versió postprint del document publicat a: https://doi.org/10.1016/j.ultsonch.2018.07.044
Ultrasonics, 2018, vol. 49, p. 154-160
cc-by-nc-nd (c) Elsevier, 2018
http://creativecommons.org/licenses/by-nc-nd/4.0/
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