Publisher's Synopsis
The use of environmental and nutritional factors to optimize fermentation conditions, are important for application of bioprocesses. To optimize these processes using conventional techniques, for example the one factor at a time method, is time consuming and laborious. Statistical design of experiments has become popular for medium optimization in industry since this allows the investigator to assess more than one factor at a time. This method is a time saving and effective method for the screening significant factors of a multivariable system. This book reviews the latest research on statistical optimization of total biogas produced by Clostridium beijerinkii and Clostridium paraputrificum utilizing N-acetylglucosamine as the main carbon source. Individual chapters cover different stages in the optimization design. The Plackett and burman screening design was used to identify significant medium constituents. The information gathered from each stage of an optimization process was used for the next stage of optimization. In addition to presenting recent research in this area, this book also contains important discussions on the potential benefits of using statistical optimization design over the traditional one factor at a time optimization method.
