title: Parameter estimation for simultaneous saccharification and fermentation of food waste into ethanol using Matlab Simulink.
abstract: The increase in waste disposal and energy costs has provided an incentive to convert carbohydrate-rich food waste streams into fuel. For example, dining halls and restaurants discard foods that require tipping fees for removal. An effective use of food waste may be the enzymatic hydrolysis of the waste to simple sugars and fermentation of the sugars to ethanol. As these wastes have complex compositions which may change day-to-day, experiments were carried out to test fermentability of two different types of food waste at 27 degrees C using Saccharomyces cerevisiae yeast (ATCC4124) and Genencor's STARGEN enzyme in batch simultaneous saccharification and fermentation (SSF) experiments. A mathematical model of SSF based on experimentally matched rate equations for enzyme hydrolysis and yeast fermentation was developed in Matlab Simulink. Using Simulink parameter estimation 1.1.3, parameters for hydrolysis and fermentation were estimated through modified Michaelis-Menten and Monod-type equations with the aim of predicting changes in the levels of ethanol and glycerol from different initial concentrations of glucose, fructose, maltose, and starch. The model predictions and experimental observations agree reasonably well for the two food waste streams and a third validation dataset. The approach of using Simulink as a dynamic visual model for SSF represents a simple method which can be applied to a variety of biological pathways and may be very useful for systems approaches in metabolic engineering in the future.
authors.affiliation: Department of Agricultural & Biological Engineering, Purdue University, West Lafayette, IN 47907-2093, USA. davis160@purdue.edu
authors.forename: Rebecca Anne
authors.initials: RA
authors.lastname: Davis
mesh_terms: D019149:Bioreactors / Q000382:microbiology*; D050260:Carbohydrate Metabolism / Q000502:physiology*; D018929:Cell Culture Techniques / Q000379:methods*; D003198:Computer Simulation; D000431:Ethanol / Q000378:metabolism*; D005516:Food Microbiology; D007220:Industrial Waste / Q000517:prevention & control*; D008954:Models, Biological; D011381:Programming Languages; D012441:Saccharomyces cerevisiae / Q000378:metabolism*
chemical_list: D007220:Industrial Waste; D000431:Ethanol