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Statistical Methods For Fermentation Optimization

The traditional approach to the optimization problem is the one-variable-at-a-time method. In this process, all variables but one are held constant and the optimum level for this variable is determined. Using this [Pg.161]


The text is written from a practical and operating viewpoint, and all of the contributing authors have been chosen because of their industrial background and orientation. Several of the chapters which were in the first edition have been either deleted or replaced by other chapters which are more germane to current fermentation practice. Those chapters which were retained have been updated or have been rewritten to reflect current practice. Several new chapters were introduced to reflect current emphasis on cell cultures, nutritional requirements, statistical methods for fermentation optimization, cross-flow filtration, environmental concerns, and plant design... [Pg.811]


See other pages where Statistical Methods For Fermentation Optimization is mentioned: [Pg.161]    [Pg.165]    [Pg.167]    [Pg.169]    [Pg.171]    [Pg.177]    [Pg.179]    [Pg.161]    [Pg.165]    [Pg.167]    [Pg.169]    [Pg.171]    [Pg.177]    [Pg.179]    [Pg.1320]    [Pg.162]    [Pg.179]   


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