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This study focuses on optimizing the production of lignocellulolytic enzyme cocktails from Pseudolagarobasidium acaciicola TDW-48 using an artificial neural network-genetic algorithm (ANN-GA) strategy. By adjusting cultural conditions, the research achieved significant increases in enzyme activities and demonstrated high bioconversion efficiency of lignocellulose waste into valuable products. The optimized conditions resulted in enhanced enzyme yields, supporting eco-friendly waste management practices.

Author

ashok.anup

Language

EN