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

Infanzón-Rodríguez, María Ines; Moral, Sandra del; Castro-Martínez, Claudia; Cano-Sarmiento, Cynthia; Gómez-Rodríguez, J.; Aguilar‐Uscanga, María Guadalupe

doi:10.1007/s12355-022-01191-7

Cited by 5 publications

(1 citation statement)

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“…On the other hand, aspen wood shaving and sugarcane bagasse could not support B. bassiana SAN01 Bgl production despite their high carbon content. For example, sugarcane bagasse comprises 40-50% cellulose, 25-35% hemicellulose, and 5-15% lignin [39]; however, its low nitrogen content might be responsible for its inability to promote enzyme production in this study, as well as aspen wood shavings. Interestingly, it was remarkable to observe that the unoptimized Bgl production level obtained from B. bassiana SAN01 in this study is 25.38-fold higher than the 5.20 U/mL from another strain of Beauveria [40].…”

Section: Valorization Of Lignocellulosic Biomass For β-Glucosidase Pr...mentioning

confidence: 84%

Hyper β-glucosidase producer Beauveria bassiana SAN01—optimization of fermentation conditions and evaluation of saccharification potential

Magwaza,

Amobonye,

Bhagwat

et al. 2024

Biomass Conv. Bioref.

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The hyper-production of β-glucosidase by a local strain of Beauveria bassiana under submerged conditions is reported in this study. The initial screening of seven agricultural residues showed that the haulm of Bambara—an underutilized African legume—supported the highest β-glucosidase production; hence, statistical optimization of enzyme production was done using this biomass as the sole carbon source. Plackett–Burman design identified the concentrations of Bambara haulm, KCl, and NaCl as well as agitation speed and incubation time as the most significant factors affecting enzyme production. Subsequently, the central composite design predicted the optimal conditions (Bambara 57 g/L, KCl 302 mg/L, NaCl 154 mg/L, agitation speed 150 rpm, and incubation 223 h) for B. bassiana β-glucosidase production, which were further validated. The generated quadratic model was deemed significant judging from its F-value (201.63), adequate precision ratio (45.74), as well as the R2 (0.9988), adjusted R2 (0.9938), and predicted R2 (0.9195) values. The optimization resulted in a ~5.36-fold increase in enzyme levels from the unoptimized production of ~133 to 711 U/mL. The enzyme was also demonstrated to efficiently hydrolyze cellobiose, converting more than 90% of the substrate to glucose. These results further establish the resourcefulness of the B. bassiana strain for the production of β-glucosidase enzyme, having immense potential, especially in the food and energy industries.

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Section: Valorization Of Lignocellulosic Biomass For β-Glucosidase Pr...mentioning

confidence: 84%