TY - JOUR
T1 - Multi-Response Optimization Using the Desirability Function of Exoglucanases, Endoglucanases and β-Glucosidases Production by Aspergillus Niger ITV-02 from Delignified Sugarcane Bagasse
AU - Infanzón-Rodríguez, María Ines
AU - del Moral, Sandra
AU - Castro-Martínez, Claudia
AU - Cano-Sarmiento, Cynthia
AU - Gómez-Rodríguez, Javier
AU - Aguilar-Uscanga, María Guadalupe
N1 - Publisher Copyright:
© 2022, The Author(s), under exclusive licence to Society for Sugar Research & Promotion.
PY - 2023/2
Y1 - 2023/2
N2 - Multi-objective optimization using the desirability function is a useful tool, which allows you to select the better conditions to maximize multiple objectives/responses simultaneously. Enzymatic hydrolysis of lignocellulosic residues requires synergistic action of three cellulase enzymes: exoglucanases (FPase), endoglucanases (CMCase) and β-glucosidase (BGL), to the complete conversion of lignocellulosic residue to fermentable sugars. In this work the production of cellulases (FPase, CMCase and BGL) in Aspergillus niger ITV-02 using delignified sugarcane bagasse (DSB), was optimized using a Box–Behnken design, where independent variables were: DSB concentration, Tween 80 concentration and pH. The multi-objective optimization method was applied to maximize the three-enzymatic activities (FPase, CMCase and BGL) simultaneously and find an optimal value between simple and multi-objective optimization. The optimal parameters were 20.69 g/L of DSB, 0.24% v/v of Tween 80 and pH 5.67, obtaining an activity FPase 0.42 U/mL, CMCase 0.35 U/mL and BGL 10.23 U/mL. The activity FPase, CMCase and BGL after optimization increased 47.62, 65 and 47.4%, respectively, with respect to the activity before optimization. Multi-objective or multi-response optimization using the desirability function (d) allowed to obtain an enzymatic extract rich in exoglucanase, endoglucanase and β-glucosidase activity by A. niger ITV-02 using DSB, in order to improve the enzymatic hydrolysis process of lignocellulosic residues and thus the production of 2G biofuels.
AB - Multi-objective optimization using the desirability function is a useful tool, which allows you to select the better conditions to maximize multiple objectives/responses simultaneously. Enzymatic hydrolysis of lignocellulosic residues requires synergistic action of three cellulase enzymes: exoglucanases (FPase), endoglucanases (CMCase) and β-glucosidase (BGL), to the complete conversion of lignocellulosic residue to fermentable sugars. In this work the production of cellulases (FPase, CMCase and BGL) in Aspergillus niger ITV-02 using delignified sugarcane bagasse (DSB), was optimized using a Box–Behnken design, where independent variables were: DSB concentration, Tween 80 concentration and pH. The multi-objective optimization method was applied to maximize the three-enzymatic activities (FPase, CMCase and BGL) simultaneously and find an optimal value between simple and multi-objective optimization. The optimal parameters were 20.69 g/L of DSB, 0.24% v/v of Tween 80 and pH 5.67, obtaining an activity FPase 0.42 U/mL, CMCase 0.35 U/mL and BGL 10.23 U/mL. The activity FPase, CMCase and BGL after optimization increased 47.62, 65 and 47.4%, respectively, with respect to the activity before optimization. Multi-objective or multi-response optimization using the desirability function (d) allowed to obtain an enzymatic extract rich in exoglucanase, endoglucanase and β-glucosidase activity by A. niger ITV-02 using DSB, in order to improve the enzymatic hydrolysis process of lignocellulosic residues and thus the production of 2G biofuels.
KW - Aspergillus niger ITV-02
KW - Box–Behnken design
KW - Cellulases
KW - Desirability function
KW - Sugarcane bagasse
UR - http://www.scopus.com/inward/record.url?scp=85134328662&partnerID=8YFLogxK
U2 - 10.1007/s12355-022-01191-7
DO - 10.1007/s12355-022-01191-7
M3 - Artículo
AN - SCOPUS:85134328662
SN - 0972-1525
VL - 25
SP - 86
EP - 98
JO - Sugar Tech
JF - Sugar Tech
IS - 1
ER -