A Novel Neuro-Fuzzy Model for Supercritical Fluid Extraction

Supercritical fluid extraction is an environmental friendly separation technique in food and chemical industry that exploits the solvent properties of fluid near the critical point. Modeling of the solubility of biomaterials is an essential issue in supercritical fluid extraction. In this paper, a novel neuro-fuzzy model is developed to model the relationship between pressure and yield of biomaterial. The results using the proposed neurofuzzy model are generally better than those using the conventional model by Peng-Robinson equation of state. The effectiveness of the proposed approaches was demonstrated by simulation and comparison studies.