Journal of Food Processing & Technology

Probiotics in clinical practice

International Conference and Exhibition on Probiotics - 2012

November 19-21, 2012 Hilton San Antonio Airport, USA

Lawrence J Hoberman

Scientific Tracks Abstracts: J Food Process Technol

Abstract:

A hybrid system of Artificial Neural Networks (ANN) and Genetic Algorithm (GA) was used to optimize the medium constituents to enhance the lipase production by Yarrowia lipolytica NCIM 3589 in solid state fermentation (SSF) using niger seed oil cake as the substrate. Different microbial metabolism regulating fermentation variables (initial moisture content of the substrate, glucose and urea) were used to construct a ?3?5?1? topology of the ANN for identifying the nonlinear relationship between fermentation variables and enzyme yield. ANN predicted values were further optimized for lipase production using GA. The goodness of the neural network prediction (coefficient of R2) was found to be 0.988. Improved enzyme yield could be achieved by this microbial strain in wide nutrient concentration range and each selected variable concentration depends on rest of the variable concentration. The usage of ANN?GA hybrid methodology has resulted in a significant improvement (25 %) in the lipase yield. The present study helps to optimize enzyme production and its regulation pattern by combinatorial influence of different medium constituents. Further, the information obtained in this study signifies its importance during scale-up studies. MATLAB 7.0 was used for implementing the ANN?GA and the MATLAB program developed for data fitting is included as the appendix.