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Multi-Response Optimization Using the Desirability Function of Exoglucanases, Endoglucanases and β-Glucosidases Production by Aspergillus Niger ITV-02 from Delignified Sugarcane Bagasse

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Abstract

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.

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Acknowledgements

The authors acknowledge the economic support from CONACyT by the postdoctoral granted to M.I Infanzon-Rodríguez.

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Authors and Affiliations

  1. Departamento de Ingeniería Química Y Bioquímica, Unidad de Investigación Y Desarrollo en Alimentos (UNIDA), Tecnológico Nacional de México, Instituto Tecnológico de Veracruz, Av. M. A. de Quevedo No. 2779, C.P. 91860, Veracruz, Ver, Mexico

    María Ines Infanzón-Rodríguez, Sandra del Moral, Cynthia Cano-Sarmiento, Javier Gómez-Rodríguez & María Guadalupe Aguilar-Uscanga

  2. Instituto Politécnico Nacional. Centro Interdisciplinario de Investigación Para El Desarrollo Integral Regional Sinaloa (CIIDIR SINALOA), Blvd. Juan de Dios Bátiz Paredes No. 250. AP 280. Col. San Joachin, CP 81101, Guasave, Sinaloa, México

    Claudia Castro-Martínez

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  1. María Ines Infanzón-Rodríguez
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  2. Sandra del Moral
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Infanzón-Rodríguez, M.I., del Moral, S., Castro-Martínez, C. et al. Multi-Response Optimization Using the Desirability Function of Exoglucanases, Endoglucanases and β-Glucosidases Production by Aspergillus Niger ITV-02 from Delignified Sugarcane Bagasse. Sugar Tech 25, 86–98 (2023). https://doi.org/10.1007/s12355-022-01191-7

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