Invasive weed optimization coupled biomass and product dynamics of tuning soybean husk towards lipolytic enzyme

Waste to the product approach was proposed for tuning environ-threat soybean husk towards lipolytic enzyme by integrating the invasive weed optimization with biomass and product dynamics study. The invasive weed optimization constitutes based on the non-linear regression model results in a 47 % enhancement in lipolytic enzyme using the optimization parameters of 7% Sigma Final, 9% exponent; S-max of 5 with a population size of 35 and Max. generations of 99. The biomass dynamic study showcases the dynamic parameters of 0.0239 mu(max), 8.17 X-Lim(st) and 0.852 R-Fin values. The product dynamic studies reveal the kinetic parameters of k(st), k(div), P-Fin, which seem to be equal to-0.0338, 0.0896 and 68.1, respectively. Overall, the present study put forth the zero-waste (soybean husk) to the product (lipolytic enzyme) approach by introducing the novel Invasive Weed Optimization coupled with Biomass and product dynamics to the bioprocessing field.

Automated summary

The waste to product approach was used to convert environmentally threatening soybean husks into lipolytic enzymes by integrating invasive weed optimization with biomass and product dynamics studies. The optimized parameters resulted in a 47% increase in enzyme production, while dynamic studies revealed key parameters for biomass and product kinetics. This study introduced a novel approach to bioprocessing by utilizing the Invasive Weed Optimization method.