Modeling Biopolymer and Glucose as Carbon Source Using Artificial Neural Network

Abstract

Biopolymer is one of the interesting biotechnology products and a promising class of biomaterials, which can be naturally occurred or produced by microorganisms. The production of the biopolymer by bioprocess technology requires the application of chemical engineering principles such as upstream processes, fermentation, and downstream processes. Hyaluronic Acid (HA), also called as hyaluronan is a unique biopolymer. HA is used in exclusive pharmaceutical products such as viscoelastic fluids in ophthalmological surgery. The production alternative of HA from animal tissues is by fermentation. In this study, glucose is used in fermentation as the carbon source for an experiment. Artificial Neural Network (ANN) is used for modeling the use of glucose to produce HA from the experimental study. ANN is a system consisting of many simple processing elements connected in parallel. The mean square error (MSE) in this study if0.09830%.