Biotransformation of grease waste into fatty acid by Penicillium chrysogenum SNP5 through media engineering and artificial neural network

Autor: Sangeeta Negi, Farhan Anjum, Sunil Khare, null Satyapriy
Rok vydání: 2023
Předmět:
Zdroj: Environmental Science and Pollution Research. 30:39653-39665
ISSN: 1614-7499
DOI: 10.1007/s11356-022-24990-7
Popis: Degradation of grease waste remains a challenging task. Current work deals with the biotransformation of grease waste into fatty acids under submerged fermentation using Penicillium chrysogenum SNP5 through media formulation and artificial neural network (ANN). Fermentation media was formulated to ameliorate the uptake of hydrocarbon by enhancing alkane hydroxylase (AlkB) activity, extracellular release of fatty acids and inhibiting beta-oxidation of fatty acid by regulating transketolase. Further, the process parameters of fermentation were optimized through Artificial Neural Network (ANN) using three critical variables viz; inoculum size (spores/ml), pH, and incubation time (days) while media engineering was done with the optimal supplementation of various medium components such as glucose, YPD, MnSO
Databáze: OpenAIRE