Enhanced production of cellulase from a novel strain Trichoderma gamsii M501 through response surface methodology and its application in biomass saccharification

Baskaran, Ramiya; Krishnan, Chandraraj

doi:10.1016/j.procbio.2020.08.006

Cited by 12 publications

(3 citation statements)

References 37 publications

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“…The goodness of fit of the model was illustrated by the reasonable agreement between the predicted R² (0.9195) and the adjusted R² (0.9938) (Table 6). Adeq Precision is a measure of the signal-to-noise ratio, with a value greater than 4 being desirable [22,42]. Hence, the obtained Adeq Precision ratio of 45.74 in this study indicates an adequate signal; consequently, the model can be used to navigate the design space [22].…”

Section: Optimization By Central Composite Design and Model Validationmentioning

confidence: 67%

“…Adeq Precision is a measure of the signal-to-noise ratio, with a value greater than 4 being desirable [22,42]. Hence, the obtained Adeq Precision ratio of 45.74 in this study indicates an adequate signal; consequently, the model can be used to navigate the design space [22]. Furthermore, the factors both in their individual and interactive capacities-A, B, C, D, E, AB, BC, BE, CD, CE, DE, A², D², and E² were recorded with p values < 0.05; thus, they were all deemed to be significant and reliable.…”

Section: Optimization By Central Composite Design and Model Validationmentioning

confidence: 99%

“…This statistical approach decreases the overall number of required experiments and better elucidates the relationships between various elements and the fermentation output [21]. RSM includes Plackett-Burman design (PBD) which efficiently identifies the most influential fermentation components out of many and the central composite design (CCD) which ascertains the ideal concentration of individual components, evaluates their interaction, and also assesses their impact on the response [22].…”

Section: Introductionmentioning

confidence: 99%

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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: Optimization By Central Composite Design and Model Validationmentioning

confidence: 67%

Section: Optimization By Central Composite Design and Model Validationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

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

et al. 2022

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Production of Hemicellulolytic Enzymes by a Novel Trichoderma koningiopsis 2OI2A1M and Its Application in the Saccharification of Barley Bagasse

Kerber

Rasbold

Heinen

et al. 2021

Waste Biomass Valor

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Enhanced production of cellulase from a novel strain Trichoderma gamsii M501 through response surface methodology and its application in biomass saccharification

Cited by 12 publications

References 37 publications

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

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

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

Production of Hemicellulolytic Enzymes by a Novel Trichoderma koningiopsis 2OI2A1M and Its Application in the Saccharification of Barley Bagasse

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