Application of artificial neural networks for enhancing Aspergillus flavipes lipase synthesis for green biodiesel production.

ABSTRACT: Biodiesel is a sustainable, and renewable alternative to fossil fuels that can be produced from various biological sources with the aid of lipases. This study developed a simple and novel fungal system for lipase biosynthesis to be used for catalyzing the oily residuals into biodiesel, employing the artificial neural network (ANN), and semi-solid-state fermentation (SSSF). Nigella sativa was selected among agro-industrial oily residuals as a substrate for lipase biosynthesis by Aspergillus flavipes MH47297. The effect of cultural humidity (X1), the surfactant; Brij 35 (X2), and inoculum density (X3) on lipase biosynthesis were researched based on the matrix of Box-Behnken design (BBD). The ANN together with a new fungal candidate and SSSF were then applied for the first time

SUBMITTER: El-Metwally MM 

PROVIDER: S-EPMC10559816 | biostudies-literature | 2023 Sep

REPOSITORIES: biostudies-literature