Ethanol production from agricultural products mainly corn, wheat, sweat potato and residue are gaining importance and requires an industrially viable novel technology namely simultaneous saccharification and fermentation process. This process has an advantage of carrying out saccharification using enzyme and fermentation using yeast in a single fermenter. The investment cost for industrial ethanol production using cheap agricultural residues can be well achieved using SSF process. The success of SSF process greatly depends upon the pretreatment methods using different enzymes to break the complex carbohydrates to simple sugars. Optimization of key process variables is essential to maximize the ethanol yield from suitable substrates. The key process variables affecting the SSF process are pH, temperature, fermentation time, enzyme concentration and substrate concentration. The medium components are to be screened for effective nitrogen, potassium and phosphorous sources to increase the ethanol yield.
Part of the book: Alcohol Fuels
Ethanol is viable alternative fuel and it’s substitute to fossil fuel has gained importance with rise in fuel prices. The chapter elaborates about methods of production from different types of bio resources like molasses, starch and cellulose commercially. The chapter also details about different methods of pretreatment for cellulisic and starchy raw materials. This also includes hydrolysis using acid and enzymes. The modes of ethanol fermentation using bioreactors like batch fed batch and continuous operation will be discussed. The growth kinetics models like monad logistic model will be elaborated. The product formation growth associated models like Leudiking piret model and parameter estimation methods will be described. Optimization of process variables using response surface methodology and media optimization using PB design will be elaborated. The application of ANN in modeling will be described.
Part of the book: Ethanol and Glycerol Chemistry