TY - JOUR
T1 - Optimization of 3D Extrusion Printing Parameters for Raw and Extruded Dehulled Andean Fava Bean Flours Using Response Surface Methodology (RSM)
AU - Quispe Santivañez, Grimaldo Wilfredo
AU - Javier Ninahuaman, Henry Juan
AU - Paucarchuco Soto, Joselin
AU - Pedrosa Silva Clerici, Maria Teresa
AU - Salvador-Reyes, Rebeca
N1 - Publisher Copyright:
© 2025 by the authors.
PY - 2025/3
Y1 - 2025/3
N2 - This study optimizes the 3D extrusion printing parameters—water-to-flour ratio (X1), temperature (X2), and printing speed (X3)—for raw (RFB) and extruded (EFB) dehulled Andean fava bean flours to maximize print quality and minimize structural defects. A 23 central composite design combined with response surface methodology (RSM) was used to identify the optimal conditions for achieving geometric precision, surface homogeneity, and textural stability. Physicochemical analyses showed that extrusion cooking substantially modified the composition and rheology of the flour. Compared with RFB, EFB exhibited lower protein and fiber contents, a higher proportion of digestible carbohydrates, and reduced rheological parameters (τ0, K, G′, G″), which facilitated printing. The evaluation of different parameter combinations revealed notable differences between the two flours, with X1 and X2 exerting the greatest influence on print quality. For RFB, the highest desirability (0.853) was achieved at X1 = 0.806, X2 = 23.18 °C, and X3 = 2470.5 mm/min, yielding more uniform and firmer printed structures. In contrast, EFB reached a desirability of 0.844 at X1 = 1.66 °C, X2 = 56.82 °C, and X3 = 1505.43 mm/min, indicating its outstanding geometric accuracy and robustness. In conclusion, raw flour requires higher hydration and lower temperatures to prevent excessive viscosity. In contrast, extruded flour benefits from low water and high temperatures to achieve stable structures and firm textures. These findings demonstrate the feasibility of using Andean fava bean flour in 3D food printing to create nutrient-dense, functional foods with improved printability. This work offers practical applications for developing personalized foods—such as customized meals for individuals with specific dietary requirements—while contributing to sustainable and secure food production. Future research should address long-term storage, post-printing drying methods, and scaling production.
AB - This study optimizes the 3D extrusion printing parameters—water-to-flour ratio (X1), temperature (X2), and printing speed (X3)—for raw (RFB) and extruded (EFB) dehulled Andean fava bean flours to maximize print quality and minimize structural defects. A 23 central composite design combined with response surface methodology (RSM) was used to identify the optimal conditions for achieving geometric precision, surface homogeneity, and textural stability. Physicochemical analyses showed that extrusion cooking substantially modified the composition and rheology of the flour. Compared with RFB, EFB exhibited lower protein and fiber contents, a higher proportion of digestible carbohydrates, and reduced rheological parameters (τ0, K, G′, G″), which facilitated printing. The evaluation of different parameter combinations revealed notable differences between the two flours, with X1 and X2 exerting the greatest influence on print quality. For RFB, the highest desirability (0.853) was achieved at X1 = 0.806, X2 = 23.18 °C, and X3 = 2470.5 mm/min, yielding more uniform and firmer printed structures. In contrast, EFB reached a desirability of 0.844 at X1 = 1.66 °C, X2 = 56.82 °C, and X3 = 1505.43 mm/min, indicating its outstanding geometric accuracy and robustness. In conclusion, raw flour requires higher hydration and lower temperatures to prevent excessive viscosity. In contrast, extruded flour benefits from low water and high temperatures to achieve stable structures and firm textures. These findings demonstrate the feasibility of using Andean fava bean flour in 3D food printing to create nutrient-dense, functional foods with improved printability. This work offers practical applications for developing personalized foods—such as customized meals for individuals with specific dietary requirements—while contributing to sustainable and secure food production. Future research should address long-term storage, post-printing drying methods, and scaling production.
KW - 3D food printing
KW - ImageJ
KW - Vicia fabaL
KW - fava bean
KW - optimization
KW - printing accuracy
KW - response surface methodology
KW - surface texture
KW - thermoplastic extrusion
UR - https://www.scopus.com/pages/publications/86000525255
U2 - 10.3390/foods14050715
DO - 10.3390/foods14050715
M3 - Original Article
AN - SCOPUS:86000525255
SN - 2304-8158
VL - 14
JO - Foods
JF - Foods
IS - 5
M1 - 715
ER -